{ "docs": "https://hub.gapup.io/agents-api", "name": "Gapup Knowledge API", "brand": { "name": "Gapup", "logo_url": "https://hub.gapup.io/logo-gapup.svg", "compliance": [ "GDPR", "ESRS-CSRD", "EU-sovereign-infra" ], "support_url": "https://hub.gapup.io/agents-api/support", "founded_year": 2026, "team_size_range": "1-10", "headquarters_country": "FR" }, "version": "1.1", "endpoints": [ { "url": "https://hub.gapup.io/api/agent/competitor-intel", "slug": "competitor-intel", "tags": [ "cmo-prep", "marketing-strategy", "brand-watch" ], "title": "Board-ready competitor intel — 90-day moves + ARR threat radar", "category": "data", "mcp_tool": "competitor-intel", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly competitive review prep", "Pre-board meeting positioning brief", "M&A target competitive landscape due diligence", "Sales objection-handling refresh", "New market entry threat mapping" ], "workflows": [ "sales-prep-quarterly", "board-quarterly" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/competitor-intel/schema", "sla_uptime": "99.5%", "subcategory": "marketing-intelligence", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 3000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"selfCompany\": {\n \"name\": \"Notion\",\n \"url\": \"https://notion.so\",\n \"pitch\": \"Workspace tout-en-un pour la prise de notes, la documentation, la gestion de projet et la collaboration d'équipes — basé sur des blocs modulaires.\"\n },\n \"competitors\": [\n {\n \"name\": \"ClickUp\",\n \"url\": \"https://clickup.com\"\n },\n {\n \"name\": \"Asana\",\n \"url\": \"https://asana.com\"\n },\n {\n \"name\": \"Coda\",\n \"url\": \"https://coda.io\"\n }\n ],\n \"focus\": \"Track les moves AI (Notion AI vs ClickUp Brain vs Asana Intelligence) et les changements pricing 2025-2026 qui menacent le tier Plus de Notion.\"\n}", "quality_metrics": { "calls_30d": 4, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 47771, "p25_latency_ms": 47771, "p50_latency_ms": 47771, "p75_latency_ms": 47771, "p95_latency_ms": 47771, "p99_latency_ms": 47771, "success_rate_30d": 0.25, "freshness_target_days": 1 }, "freshness_target_days": 1, "output_characteristics": { "median_size_kb": 21.1, "output_complexity": 10, "median_sources_cited": 10, "median_quantified_claims": 24 }, "complementary_endpoints": [ "trend-watcher", "market-sizing", "pricing-strategist", "customer-voice-synth", "positioning-strategist" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"competitors\",\"prioritySignals\",\"recommendations\",\"pricingRadar\",\"sources\",\"presenterScript\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T09:20:00.309Z\",\n \"caseLabel\": \"Notion vs ClickUp, Asana, Coda\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/trend-watcher", "slug": "trend-watcher", "tags": [ "cmo-prep", "marketing-strategy", "brand-watch" ], "title": "Market trend heatmap — velocity scores + rising signal alerts", "category": "data", "mcp_tool": "trend-watcher", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Monthly trend briefing for leadership", "Pre-product roadmap market signal scan", "Investor update market context section", "Content calendar ideation from rising topics", "Category entry timing validation" ], "workflows": [ "board-quarterly" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.074, "price_usdc": 0.08, "schema_url": "https://hub.gapup.io/api/agent/trend-watcher/schema", "sla_uptime": "99.5%", "subcategory": "marketing-intelligence", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 3000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"sector\": \"Productivity B2B SaaS — outils de connaissance et collaboration interne\",\n \"keywords\": [\n \"AI workspace\",\n \"async collaboration\",\n \"doc automation\",\n \"knowledge management\",\n \"no-code internal tools\",\n \"agentic workflows\",\n \"knowledge graph\",\n \"vector search enterprise\"\n ],\n \"focus\": \"Pour Notion (5M+ payants, $10B valuation 2024) : où sont les vagues 2026 que Notion doit surfer pour défendre son leadership face à Coda IA-natif, ClickUp embedded AI, Asana Agents, et la pression Microsoft Copilot/Loop sur l'enterprise. Output orienté board : où mettre le budget produit + contenu sur 6 mois.\"\n}", "quality_metrics": { "calls_30d": 1, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 121, "p25_latency_ms": 121, "p50_latency_ms": 121, "p75_latency_ms": 121, "p95_latency_ms": 121, "p99_latency_ms": 121, "success_rate_30d": 0, "freshness_target_days": 1 }, "freshness_target_days": 1, "output_characteristics": { "median_size_kb": 17.3, "output_complexity": 10, "median_sources_cited": 9, "median_quantified_claims": 42 }, "complementary_endpoints": [ "competitor-intel", "market-sizing", "customer-voice-synth", "positioning-strategist", "pricing-strategist" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"heatmap\",\"risingSignals\",\"prioritySignals\",\"contentRecommendations\",\"productRecommendations\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T14:30:00Z\",\n \"caseLabel\": \"Notion — productivity B2B 2026\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/partnership-synergies", "slug": "partnership-synergies", "tags": [ "cso-prep", "strategy", "m-and-a" ], "title": "B2B partnership scoring — strategic fit + deal-structure levers", "category": "reasoning", "mcp_tool": "partnership-synergies", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "BD pipeline prioritization", "Alliance partner strategic fit scoring", "Co-marketing deal structure preparation", "Channel partner evaluation", "M&A synergy pre-qualification" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/partnership-synergies/schema", "sla_uptime": "99.5%", "subcategory": "corporate-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 3000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"selfCompany\": {\n \"name\": \"Salesforce\",\n \"url\": \"https://salesforce.com\",\n \"pitch\": \"Leader CRM cloud SaaS, $21B ARR (FY2020), forte position enterprise mais faible présence dans le messaging/collaboration interne où Microsoft Teams gagne du terrain via bundling Office 365.\",\n \"stage\": \"public\",\n \"arrEur\": 19000000000\n },\n \"strategicAxis\": \"Bloquer l'avancée Microsoft Teams en construisant la couche collaboration native de la Customer 360 platform — soit via partenariat tech profond, soit via M&A sur une cible ayant déjà 12M+ DAU et un produit chat-async-channels mature.\",\n \"constraints\": {\n \"budgetCeilingEur\": 30000000000,\n \"timeWindow\": \"12mo\",\n \"regulatoryHotZones\": [\n \"antitrust-EU\",\n \"antitrust-US\",\n \"CFIUS\"\n ],\n \"mustNotCompeteWi...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 1 }, "freshness_target_days": 1, "output_characteristics": { "median_size_kb": 24.2, "output_complexity": 9, "median_sources_cited": 7, "median_quantified_claims": 30 }, "complementary_endpoints": [ "deal-structurer", "capital-strategy", "growth-path-architect", "strategic-options-analyzer", "geographic-expansion" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"topPartnerships\",\"approachPlan\",\"redFlags\",\"boardRecommendation\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T08:00:00.000Z\",\n \"caseLabel\": \"Salesforce 2020 — bloquer Microsoft Teams via acquisition Slack ($27.7B)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/pitch-deck-storyline", "slug": "pitch-deck-storyline", "tags": [ "cfo-prep", "financial-modeling", "treasury" ], "title": "VC-ready narrative deck outline — slide script + hook lines", "category": "data", "mcp_tool": "pitch-deck-storyline", "languages": [ "fr", "en" ], "use_cases": [ "Series A/B fundraising deck narrative", "Board presentation storyline", "Strategic partnership pitch preparation", "Customer executive briefing deck", "Demo Day pitch narrative" ], "workflows": [ "fundraising-prep" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.23, "price_usdc": 0.25, "schema_url": "https://hub.gapup.io/api/agent/pitch-deck-storyline/schema", "sla_uptime": "99.5%", "subcategory": "financial-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 3000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Stripe\",\n \"pitch\": \"API de paiement pour développeurs : 7 lignes de code suffisent pour accepter une carte. Cible : SaaS, marketplaces, on-demand. On vise l'AWS du paiement.\",\n \"stage\": \"series-a\"\n },\n \"audience\": \"series-a-vc\",\n \"slideCount\": 12,\n \"keyFacts\": [\n \"$300M annualisé volume traité, +18% MoM\",\n \"5 000 merchants actifs · 27 min médian time-to-first-payment\",\n \"Take rate 2.9% + $0.30 (parité PayPal)\",\n \"Marge brute 75% steady-state · Cash $18M post-Series A\",\n \"Founders Patrick + John Collison · ex-Auctomatic ($5M sortie à 19/17 ans)\",\n \"Lead investors visés : Sequoia + Founders Fund\"\n ]\n}", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 1 }, "freshness_target_days": 1, "output_characteristics": { "median_size_kb": 34.2, "output_complexity": 11, "median_sources_cited": 6, "median_quantified_claims": 144 }, "complementary_endpoints": [ "bp-narratif", "cap-table-strategist", "investor-shortlist", "earnings-reviewer", "investor-list" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"storylineArc\",\"slides\",\"verbalPitches\",\"toughQuestions\",\"designGuardrails\",\"sources\",\"presenterScript\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T12:00:00.000Z\",\n \"caseLabel\": \"Stripe Series A 2012 — pitch deck reconstruit\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/carbon-footprint-calculator", "slug": "carbon-footprint-calculator", "tags": [ "esg-csrd", "sustainability", "carbon" ], "title": "GHG inventory Scopes 1/2/3 — SBTi trajectory + reduction levers", "category": "data", "mcp_tool": "carbon-footprint-calculator", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "CSRD annual GHG inventory preparation", "SBTi target-setting data foundation", "Board ESG committee carbon briefing", "Carbon levy financial exposure modeling", "Scope 3 supplier engagement prioritization" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/carbon-footprint-calculator/schema", "sla_uptime": "99.5%", "subcategory": "esg-csrd", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 3000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Carrefour France\",\n \"sector\": \"Retail multi-format — hypermarchés / supermarchés / proximité / e-commerce\",\n \"fte\": 80000,\n \"revenueEur\": 41200000000,\n \"locations\": 5500,\n \"referenceYear\": 2024\n },\n \"perimeter\": {\n \"organizational\": \"operational-control\",\n \"geographic\": [\n \"France métropolitaine\"\n ],\n \"excludedActivities\": \"Filiales bancaires Carrefour Banque (reportées séparément). Activités 100% sous-traitées hors stations service intégrées.\"\n },\n \"scope1Sources\": [\n {\n \"source\": \"Combustion gaz naturel chaudières magasins\",\n \"fuelType\": \"Gaz naturel\",\n \"annualConsumption\": 2400000,\n \"unit\": \"MWh PCI\"\n },\n {\n \"source\": \"Carburants flotte logistique propre (300 camions)\",\n \"fuelType...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 1 }, "freshness_target_days": 1, "output_characteristics": { "median_size_kb": 20.4, "output_complexity": 13, "median_sources_cited": 7, "median_quantified_claims": 61 }, "complementary_endpoints": [ "action-plan-esg", "carbon-roadmap", "esrs-narrative-builder", "supplier-esg-audit", "diversity-inclusion-metrics" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"methodology\",\"totalEmissions\",\"scope3Breakdown\",\"emissionItems\",\"topHotspots\",\"reductionLevers\",\"sbtiTrajectory\",\"totalReductionPotential\",\"quickWins\"], \"samples\": {\n \"generatedAt\": \"2026-05-06T22:55:00.000Z\",\n \"caseLabel\": \"Carrefour France — bilan carbone 2024 · Scope 1/2/3 méthodologie GHG Protocol + SBTi 1.5°C alignment\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/abm-architect", "slug": "abm-architect", "tags": [ "cmo-prep", "marketing-strategy", "brand-watch" ], "title": "Account-based marketing blueprint — ICP targeting + engagement plays", "category": "data", "mcp_tool": "abm-architect", "languages": [ "fr", "ar", "de", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly marketing review prep", "Pre-board brand performance briefing", "Campaign ROI post-mortem", "Competitive positioning refresh", "Investor deck marketing section" ], "workflows": [ "launch-readiness" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/abm-architect/schema", "sla_uptime": "99.5%", "subcategory": "marketing-intelligence", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Norvik Cloud\",\n \"sector\": \"Infrastructure cloud B2B\"\n },\n \"product\": {\n \"name\": \"Norvik Cloud\",\n \"avgDealValueEur\": 12000\n },\n \"targetAccounts\": [\n {\n \"name\": \"Aircall\",\n \"industry\": \"SaaS communications\",\n \"estimatedRevEur\": 18000,\n \"currentStage\": \"aware\",\n \"keyContacts\": [\n \"CFO\",\n \"COO\"\n ]\n },\n {\n \"name\": \"Dataiku\",\n \"industry\": \"Data/AI SaaS\",\n \"estimatedRevEur\": 24000,\n \"currentStage\": \"unaware\"\n },\n {\n \"name\": \"Teads\",\n \"industry\": \"AdTech\",\n \"estimatedRevEur\": 12000,\n \"currentStage\": \"engaged\",\n \"keyContacts\": [\n \"CMO\"\n ]\n },\n {\n \"name\": \"BlaBlaCar\",\n \"industry\": \"Mobility\",\n \"estimatedRevEur\": 18000,\n...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 12, "output_complexity": 10, "median_sources_cited": 7, "median_quantified_claims": 22 }, "complementary_endpoints": [ "positioning-strategist", "content-engine", "paid-ads-optimizer", "trend-watcher", "competitor-intel" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"accountTiering\",\"playbooks\",\"contentMap\",\"salesAlignmentPlan\",\"budgetAllocation\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2023-11-15T14:30:00.000Z\",\n \"caseLabel\": \"Norvik Cloud ABM Playbook for Enterprise SaaS Scale-ups\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/account-expansion-mapper", "slug": "account-expansion-mapper", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "Account expansion map — whitespace + upsell path per account", "category": "reasoning", "mcp_tool": "account-expansion-mapper", "languages": [ "fr", "en", "es" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/account-expansion-mapper/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Notion Labs\",\n \"sector\": \"B2B SaaS — Productivity / Workspace / Knowledge Mgmt\",\n \"arrTotalEur\": 580000000,\n \"nrrCurrent\": 118,\n \"nrrTarget\": 132\n },\n \"accounts\": [\n {\n \"accountName\": \"Snowflake\",\n \"segment\": \"enterprise\",\n \"currentArrEur\": 1450000,\n \"currentSeats\": 8500,\n \"modulesAdopted\": [\n \"Notion Standard\",\n \"Notion AI\",\n \"Notion Calendar\"\n ],\n \"contractRenewalDate\": \"2026-09-30\",\n \"usageScore\": \"heavy\",\n \"knownTriggers\": \"Acquisition Datavolo Q1 2026 (+1200 FTE) + nouvelle CTO promue Mai 2026\"\n },\n {\n \"accountName\": \"Shopify\",\n \"segment\": \"enterprise\",\n \"currentArrEur\": 980000,\n \"currentSeats\": 6200,\n \"modulesAdopted\": [\n \"Notion St...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 31.5, "output_complexity": 12, "median_sources_cited": 5, "median_quantified_claims": 34 }, "complementary_endpoints": [ "battle-cards-live", "discovery-prep", "proposal-generator", "meddic-scoring", "champion-mapping" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"methodology\",\"portfolioOverview\",\"tierStrategies\",\"accountSummaries\",\"topPlays\",\"expansionPatterns\",\"cadenceFramework\",\"quickWins\"], \"samples\": {\n \"generatedAt\": \"2026-05-07T00:30:00.000Z\",\n \"caseLabel\": \"Notion B2B Enterprise — top 10 strategic accounts · expansion plays NRR 118% → 132% target Q4 2026\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/action-plan-esg", "slug": "action-plan-esg", "tags": [ "esg-csrd", "sustainability", "carbon" ], "title": "ESG action plan — priority initiatives + CSRD milestone roadmap", "category": "data", "mcp_tool": "action-plan-esg", "languages": [ "fr", "en" ], "use_cases": [ "CSRD annual reporting preparation", "Board ESG dashboard", "Carbon trajectory review", "Supplier ESG audit prep", "SBTi alignment verification" ], "workflows": [ "csrd-readiness" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/action-plan-esg/schema", "sla_uptime": "99.5%", "subcategory": "esg-csrd", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"TechCorp\",\n \"sector\": \"SaaS B2B — logiciels de gestion RH et paie pour PME/ETI\",\n \"fte\": 500,\n \"revenueEur\": 60000000,\n \"country\": \"France\"\n },\n \"currentScores\": {\n \"environmental\": 42,\n \"social\": 61,\n \"governance\": 58,\n \"overallEsg\": 54\n },\n \"ambitions\": {\n \"environmental\": \"Réduire les émissions GES Scope 1+2 de 40% d'ici 2027, passer à 100% énergie renouvelable, obtenir ISO 14001 en 2027, mesurer et publier Scope 3 avant fin 2025.\",\n \"social\": \"Atteindre 40% de femmes dans le management, réduire le turnover sous 12%, eNPS ≥50, index Egapro ≥85, 5% RQTH d'ici 2027.\",\n \"governance\": \"Statut Entreprise à mission Q3 2026, anti-corruption 100% équipes, ratio salarial ≤1:8, dispositif alerte conforme Loi Waserman.\"\n },\n \"...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 35.7, "output_complexity": 18, "median_sources_cited": 13, "median_quantified_claims": 97 }, "complementary_endpoints": [ "carbon-roadmap", "esrs-narrative-builder", "supplier-esg-audit", "carbon-footprint-calculator", "diversity-inclusion-metrics" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"scoreProjection\",\"actionMatrix\",\"quarterlyKpis\",\"budgetBreakdown\",\"risks\",\"materiality_baseline\",\"kpi_targets_2030\",\"implementation_waves\",\"governance_setup\",\"reporting_cadence\",\"scenarios\",\"roadmap_gantt\",\"kpi_target_table\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2025-06-15T10:00:00.000Z\",\n \"caseLabel\": \"TechCorp — Plan d'action ESG 36 mois (500 FTE, €60M CA, budget €550k)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/ai-governance-pilot", "slug": "ai-governance-pilot", "tags": [ "risk-mgmt", "compliance", "cyber" ], "title": "AI governance pilot — risk taxonomy + EU AI Act compliance map", "category": "data", "mcp_tool": "ai-governance-pilot", "languages": [ "fr" ], "use_cases": [ "Quarterly risk committee prep", "Pre-audit compliance brief", "Cyber risk board presentation", "Regulatory change impact analysis", "Third-party risk screening" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/ai-governance-pilot/schema", "sla_uptime": "99.5%", "subcategory": "risk-compliance", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"TalentScope SAS\",\n \"sector\": \"Logiciel RH SaaS (recrutement & gestion des talents)\",\n \"fte\": 280,\n \"revenueEur\": 38000000,\n \"country\": \"France\",\n \"jurisdictions\": [\n \"FR\",\n \"EU\",\n \"UK\"\n ]\n },\n \"aiUseCases\": [\n {\n \"name\": \"Scoring IA de CV et classement automatique des candidats\",\n \"description\": \"Modèle ML (gradient boosting + NLP) qui parse les CV et attribue un score de 0 à 100 pour chaque poste. Les recruteurs voient en premier les candidats avec score > 70.\",\n \"dataTypes\": [\n \"CV texte\",\n \"expériences professionnelles\",\n \"formation\",\n \"compétences déclarées\",\n \"données démographiques implicites\"\n ],\n \"impactedUsers\": \"Candidats à l'emploi (280k candidats/an...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 69.4, "output_complexity": 15, "median_sources_cited": 9, "median_quantified_claims": 57 }, "complementary_endpoints": [ "sustainability-reporting-pilot", "privacy-compliance-audit", "contract-risk-scanner", "cyber-risk-auditor", "fraud-detector" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"useCaseInventory\",\"frameworkGapMatrix\",\"top10Risks\",\"remediationPlan\",\"documentationChecklist\",\"jurisdictionMatrix\",\"sanctionsExposure\",\"friaExcerpt\",\"modelCardExcerpt\",\"boardBrief\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T14:00:00.000Z\",\n \"caseLabel\": \"TalentScope SAS — audit gouvernance IA (EU AI Act Annex III §4 high-risk + ISO 42001 + NIST AI RMF + RGPD Art.22)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/anti-demissions-hr", "slug": "anti-demissions-hr", "tags": [ "coo-prep", "ops-strategy", "process" ], "title": "Attrition risk analysis — flight-risk segments + retention levers", "category": "reasoning", "mcp_tool": "anti-demissions-hr", "languages": [ "fr", "en", "es" ], "use_cases": [ "Quarterly operations review prep", "Pre-board ops performance briefing", "Process efficiency analysis", "Capacity planning decision brief", "Vendor performance scorecard" ], "workflows": [ "hr-people-strategy" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/anti-demissions-hr/schema", "sla_uptime": "99.5%", "subcategory": "operations-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Buffer\",\n \"sector\": \"B2B SaaS / Social Media Tools\",\n \"fte\": 80,\n \"fundingStage\": \"Profitable bootstrapped\",\n \"location\": \"Remote (US/EU/LATAM)\"\n },\n \"signals\": {\n \"eNPS\": 22,\n \"engagementScore\": 68,\n \"recentLayoffs\": true,\n \"recentLeadershipChange\": false,\n \"externalNoise\": [\n \"Glassdoor Q4 2025 : plusieurs avis mentionnent 'le rythme du changement s'accélère mais la vision long terme manque de clarté'\",\n \"LinkedIn : 4 ingénieurs seniors ont mis à jour leurs profils (nouvelle section 'Open to work' désactivée mais activité accrue) dans les 60 derniers jours\",\n \"Levels.fyi : compensation Buffer pour Senior Engineer estimée ~15% sous la médiane marché SaaS remote US\",\n \"Twitter/X : quelques ex-Bufferoos mentio...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 31.4, "output_complexity": 11, "median_sources_cited": 3, "median_quantified_claims": 75 }, "complementary_endpoints": [ "capacity-planning", "knowledge-base-auto", "process-mining", "onboarding-salaries", "process-mapping" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"retentionRisk\",\"atRiskEmployees\",\"rootCauseClusters\",\"quickWins\",\"systemicPlan\",\"kpiTracking\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T08:30:00.000Z\",\n \"caseLabel\": \"Buffer Inc — détection des at-risk parmi 80 FTEs (Q1 2026)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/audit-pre-flight", "slug": "audit-pre-flight", "tags": [ "cfo-prep", "financial-modeling", "treasury" ], "title": "Audit pre-flight checklist — control gaps + remediation priority", "category": "data", "mcp_tool": "audit-pre-flight", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly financial review prep", "Pre-audit financial health check", "Board financial dashboard", "Cash-flow risk assessment", "Investor relations financial narrative" ], "workflows": [ "ma-deal-screening" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/audit-pre-flight/schema", "sla_uptime": "99.5%", "subcategory": "financial-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Spendesk\",\n \"sector\": \"SaaS B2B — Gestion dépenses entreprise\",\n \"stage\": \"serie-c\"\n },\n \"audit\": {\n \"type\": \"statutory\",\n \"auditor\": \"Deloitte France\",\n \"scheduledDate\": \"2026-06-15\",\n \"scope\": \"Comptes annuels 2025 (SAS Spendesk + filiales UK et Germany)\"\n },\n \"financials\": {\n \"annualRevenueEur\": 62000000,\n \"totalAssetsEur\": 145000000,\n \"closingDateLastYear\": \"2024-12-31\"\n },\n \"knownIssues\": [\n \"Provisions pour créances douteuses sur 3 clients en liquidation (total €380k) — non encore comptabilisées\",\n \"Reconnaissance de revenus : contrats multi-années avec éléments multiples (licence + implémentation + support) — traitement IFRS 15 non uniformisé\",\n \"Goodwill acquisitions UK (£12M en 2023) — test de dépréciation ...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 18.8, "output_complexity": 10, "median_sources_cited": 21, "median_quantified_claims": 30 }, "complementary_endpoints": [ "margin-doctor-finance", "funding-hunter", "treasury-optimizer", "working-capital", "tax-optimization" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"readinessScore\",\"criticalFindings\",\"documentChecklist\",\"timeline\",\"auditorFAQ\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-14T10:00:00.000Z\",\n \"caseLabel\": \"Spendesk — Pré-audit Deloitte commissaire · Readiness 74/100 · 8 findings · Checklist 18 docs · FAQ 6 questions\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/battle-cards-live", "slug": "battle-cards-live", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "Live battle cards — objection handlers + win-rate move plays", "category": "reasoning", "mcp_tool": "battle-cards-live", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [ "sales-prep-quarterly" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/battle-cards-live/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"competitor\": {\n \"name\": \"McKinsey Lilli\",\n \"category\": \"AI consulting platform — Big 4 + Strategy consulting\"\n },\n \"dealContext\": {\n \"sector\": \"B2B SaaS — C-suite IA Decision Support\",\n \"dealSizeEur\": 500000,\n \"buyerPersona\": \"CFO ou CDO grande entreprise (500-5000 employés) cherchant IA décisionnelle pour top management\"\n },\n \"ourOffer\": \"Cadenza Software — 9 AI executives (CFO, CRO, CSO, CMO, COO, CHRO, Risk, Fundraising, Sustainability) pour accélérer les décisions C-suite. Pricing All-Access €999/mo. BYOK, marge 100%, résultats en 15 minutes.\",\n \"knownWeaknesses\": \"McKinsey Lilli = plateforme interne McKinsey réservée aux clients consulting (pas SaaS self-serve). Pricing consulting classique €500k-5M par projet. Time-to-value 6-12 mois.\"\n}", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 20.3, "output_complexity": 13, "median_sources_cited": 11, "median_quantified_claims": 32 }, "complementary_endpoints": [ "champion-mapping", "discovery-prep", "proposal-generator", "meddic-scoring", "pricing-in-deal" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"competitorProfile\",\"comparisonMatrix\",\"objectionHandling\",\"pricingTraps\",\"killPhrases\",\"disqualifyingQuestions\",\"closingMove\",\"doNotDo\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T08:30:00.000Z\",\n \"caseLabel\": \"Gapup Hub vs McKinsey Lilli — Deal SaaS B2B €500k · Win rate +11 pts · 8 objections armées · 5 kill phrases · 5 DQ questions\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/battle-plan", "slug": "battle-plan", "tags": [ "cmo-prep", "marketing-strategy", "brand-watch" ], "title": "Go-to-market battle plan — campaign tactics + launch sequence", "category": "data", "mcp_tool": "battle-plan", "languages": [ "fr", "en", "es", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly marketing review prep", "Pre-board brand performance briefing", "Campaign ROI post-mortem", "Competitive positioning refresh", "Investor deck marketing section" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/battle-plan/schema", "sla_uptime": "99.5%", "subcategory": "marketing-intelligence", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"companyName\": \"Veridian Analytics\",\n \"arrCurrent\": 480000,\n \"arrTarget\": 1700000,\n \"quarter\": \"Q3 2026\",\n \"teamSize\": 3,\n \"budgetEur\": 120000,\n \"primaryObjective\": \"pipeline\",\n \"topChannels\": [\n \"content\",\n \"paid-social\",\n \"events\",\n \"outbound\",\n \"partnerships\"\n ],\n \"icpDescription\": \"CFO / CRO / CMO de scale-ups B2B EU (Série A-C, €500k-5M ARR), 20-200 salariés\",\n \"currentBlockers\": [\n \"Pas de case studies publiés — pas de social proof pour la conversion enterprise\",\n \"Équipe marketing de 1 — pas assez de capacité de production de contenu\",\n \"Budget limité à €120k — doit être ultra-priorisé\",\n \"Expansion UK non lancée — zéro présence local\",\n \"SEO inexistant — 0 trafic organique qualifié\"\n ]\n}", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 24.5, "output_complexity": 18, "median_sources_cited": 13, "median_quantified_claims": 48 }, "complementary_endpoints": [ "trend-watcher", "competitor-intel", "customer-voice-synth", "market-sizing", "positioning-strategist" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"quarterGoal\",\"topInitiatives\",\"weeklyCalendar\",\"budgetAllocation\",\"reviewCadence\",\"blockerMitigation\",\"sources\",\"scenarios\",\"competitive_landscape\",\"positioning_attacks\",\"weekly_plays\",\"win_loss_loop\",\"positioning_2x2\",\"win_rate_chart\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T11:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub — Q3 2026 · Budget €120k · Objectif €800k pipeline · 5 chantiers P0-P1\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/bp-narratif", "slug": "bp-narratif", "tags": [ "cfo-prep", "financial-modeling", "treasury" ], "title": "Business plan narrative — investor story + financial assumptions", "category": "data", "mcp_tool": "bp-narratif", "languages": [ "fr", "ar", "de", "en", "es", "it", "pt" ], "use_cases": [ "Quarterly financial review prep", "Pre-audit financial health check", "Board financial dashboard", "Cash-flow risk assessment", "Investor relations financial narrative" ], "workflows": [ "fundraising-prep" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/bp-narratif/schema", "sla_uptime": "99.5%", "subcategory": "financial-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Stripe\",\n \"pitch\": \"API de paiement pour développeurs : 7 lignes de code suffisent pour accepter une carte. Cible : SaaS, marketplaces, on-demand. On vise 'l'AWS du paiement' — primitive infra que tu n'as pas à reconstruire.\",\n \"foundedYear\": 2010,\n \"stage\": \"series-a\",\n \"countryHQ\": \"USA\"\n },\n \"raise\": {\n \"targetAmountEur\": 14000000,\n \"investorAudience\": \"vc\",\n \"timelineMonths\": 4\n },\n \"keyMetrics\": [\n \"Volume traité : $300M annualisé\",\n \"API live depuis 18 mois après bêta privée 12 mois\",\n \"DAU dev : ~5k merchants intégrés\",\n \"Take rate : 2.9% + $0.30 (vs 2.9% + $0.30 PayPal — parité prix, supériorité DX)\"\n ]\n}", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 23.8, "output_complexity": 15, "median_sources_cited": 6, "median_quantified_claims": 65 }, "complementary_endpoints": [ "pitch-deck-storyline", "cap-table-strategist", "investor-shortlist", "earnings-reviewer", "investor-list" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"vision\",\"market\",\"product\",\"businessModel\",\"goToMarket\",\"team\",\"financials\",\"useOfFunds\",\"risks\",\"sources\",\"presenterScript\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T12:00:00.000Z\",\n \"caseLabel\": \"Stripe Series A 2012\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/brand-builder", "slug": "brand-builder", "tags": [ "cmo-prep", "marketing-strategy", "brand-watch" ], "title": "Brand architecture builder — positioning + differentiation matrix", "category": "data", "mcp_tool": "brand-builder", "languages": [ "fr", "en" ], "use_cases": [ "Quarterly marketing review prep", "Pre-board brand performance briefing", "Campaign ROI post-mortem", "Competitive positioning refresh", "Investor deck marketing section" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/brand-builder/schema", "sla_uptime": "99.5%", "subcategory": "marketing-intelligence", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"founder\": {\n \"storyOrigin\": \"Arthur Waller (CEO) et Félix Blossier (CTO) ont fondé Pennylane en 2020 après avoir vécu de l'intérieur la frustration des DAF et des experts-comptables face à des outils fragmentés : un ERP archaïque pour la compta, un tableur pour la trésorerie, un autre outil pour les notes de frais. Leur insight : le problème n'est pas la complexité comptable, c'est l'absence de lien temps réel entre la donnée financière et la décision du dirigeant.\",\n \"vision\": \"Devenir la plateforme financière unifiée de référence pour les PME européennes d'ici 2030 — là où chaque DAF, expert-comptable et CEO travaillent dans le même espace avec la même donnée.\",\n \"values\": [\n \"Transparence radicale\",\n \"Obsession client\",\n \"Excellence opérationnelle\",\n ...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 36.3, "output_complexity": 15, "median_sources_cited": 24, "median_quantified_claims": 60 }, "complementary_endpoints": [ "trend-watcher", "competitor-intel", "customer-voice-synth", "market-sizing", "positioning-strategist" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"voiceAttributes\",\"personas\",\"messaging\",\"doList\",\"dontList\",\"channelExamples\",\"visualIdentity\",\"crisisPlaybook\",\"consistencyScorecard\",\"methodology\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T10:00:00.000Z\",\n \"caseLabel\": \"Pennylane — brand book series-a\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/cap-table-strategist", "slug": "cap-table-strategist", "tags": [ "fundraising", "vc-prep", "pitch" ], "title": "Cap table strategy — multi-round dilution model + equity hygiene", "category": "reasoning", "mcp_tool": "cap-table-strategist", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Series B/C equity structure pre-planning", "Secondary liquidity opportunity modeling", "ESOP refresh sizing for next round", "Founder dilution scenario analysis", "Term sheet negotiation equity impact" ], "workflows": [ "fundraising-prep" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/cap-table-strategist/schema", "sla_uptime": "99.5%", "subcategory": "fundraising-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Aleph AI\",\n \"sector\": \"AI infra B2B SaaS — Compliance pour secteurs régulés\",\n \"foundedYear\": 2022,\n \"arrEur\": 6800000\n },\n \"currentCapTable\": {\n \"totalSharesOutstanding\": 10000000,\n \"holders\": [\n {\n \"name\": \"Alice Martin (CEO Co-founder)\",\n \"type\": \"co-founder\",\n \"shares\": 3200000,\n \"vestingSchedule\": \"4 ans cliff 1 an, 32 mois écoulés sur 48\"\n },\n {\n \"name\": \"Mehdi Chen (CTO Co-founder)\",\n \"type\": \"co-founder\",\n \"shares\": 2800000,\n \"vestingSchedule\": \"4 ans cliff 1 an, 32 mois écoulés sur 48\"\n },\n {\n \"name\": \"Sarah Nguyen (Co-founder Head of Research)\",\n \"type\": \"co-founder\",\n \"shares\": 1200000,\n \"vestingSchedule\": \"4 ans cliff 1 a...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 19.9, "output_complexity": 12, "median_sources_cited": 23, "median_quantified_claims": 113 }, "complementary_endpoints": [ "pitch-deck-storyline", "bp-narratif", "investor-shortlist", "earnings-reviewer", "investor-list" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"methodology\",\"currentState\",\"multiRoundProjection\",\"endStateProjections\",\"secondaryOpportunities\",\"hygieneRecommendations\",\"risks\",\"quickWins\"], \"samples\": {\n \"generatedAt\": \"2026-05-14T10:00:00.000Z\",\n \"caseLabel\": \"Aleph AI Series B + C + D scenario — modèle dilution 3 rounds + secondary Sarah €500k + hygiène equity 7 items\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/capacity-planning", "slug": "capacity-planning", "tags": [ "chro-prep", "hr-strategy", "performance" ], "title": "Capacity planning model — headcount + resource allocation levers", "category": "data", "mcp_tool": "capacity-planning", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly people review prep", "Pre-board HR dashboard", "Talent retention risk briefing", "Compensation benchmarking", "Culture & engagement audit" ], "workflows": [ "hr-people-strategy" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/capacity-planning/schema", "sla_uptime": "99.5%", "subcategory": "people-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Brightforge Industries\",\n \"sector\": \"Manufacturing industriel\"\n },\n \"financials\": {\n \"currentArrEur\": 480000,\n \"targetArrEur\": 1700000,\n \"timeframeMonths\": 12,\n \"currentBurnEur\": 65000\n },\n \"currentTeam\": {\n \"totalHeadcount\": 22,\n \"departments\": [\n {\n \"name\": \"Engineering\",\n \"currentHeadcount\": 9,\n \"openPositions\": 1,\n \"annualCostPerHeadEur\": 85000,\n \"productivityMetric\": \"features livrées/sprint\"\n },\n {\n \"name\": \"Product\",\n \"currentHeadcount\": 2,\n \"openPositions\": 0,\n \"annualCostPerHeadEur\": 90000\n },\n {\n \"name\": \"Sales & Marketing\",\n \"currentHeadcount\": 4,\n \"openPositions\": 1,\n \"annualCostPerHeadEur\": 95000,\n ...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 10.8, "output_complexity": 12, "median_sources_cited": 8, "median_quantified_claims": 42 }, "complementary_endpoints": [ "anti-demissions-hr", "knowledge-base-auto", "process-mining", "onboarding-salaries", "process-mapping" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"headcountPlan\",\"totalHiringPlan\",\"arrPerEmployee\",\"criticalRoles\",\"riskScenarios\",\"scenarios\",\"skillMatrix\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T11:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub — 22→48 FTE en 12m · ARR €480k→€1.7M · ARR/employé €21k→€35k\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/capital-strategy", "slug": "capital-strategy", "tags": [ "cso-prep", "strategy", "m-and-a" ], "title": "Capital strategy brief — funding structure + return scenarios", "category": "reasoning", "mcp_tool": "capital-strategy", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Annual strategy review preparation", "M&A target screening", "Geographic expansion decision brief", "Board strategy session pre-read", "Competitive scenario planning" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/capital-strategy/schema", "sla_uptime": "99.5%", "subcategory": "corporate-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Alan\",\n \"url\": \"https://alan.com\",\n \"pitch\": \"Assurance santé SaaS B2B France — couverture mutuelle collective digitale pour PME et entreprises. Plateforme tout-en-1 (souscription, remboursement, prévention, télémedecine) avec NPS 75+.\",\n \"stage\": \"series-a\",\n \"countryHQ\": \"France (Paris)\",\n \"foundedYear\": 2016\n },\n \"growthPlan\": {\n \"currentArrEur\": 4500000,\n \"targetArrEur36m\": 45000000,\n \"headcountNow\": 55,\n \"headcountTarget36m\": 200,\n \"keyMilestones\": [\n \"M6 : 50k membres assurés, lancement entreprises 50-200 salariés\",\n \"M12 : Expansion Belgique + Espagne, ARR €12M\",\n \"M18 : Série B bouclée, lancement module prévention actif\",\n \"M24 : 200k membres, partenariats 5 grands groupes RH\",\n \"M30 : Break-e...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 23.4, "output_complexity": 11, "median_sources_cited": 9, "median_quantified_claims": 89 }, "complementary_endpoints": [ "partnership-synergies", "deal-structurer", "growth-path-architect", "strategic-options-analyzer", "geographic-expansion" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"scenarios\",\"recommendedScenario\",\"instrumentLibrary\",\"founderProfileMatrix\",\"actions90Days\",\"methodology\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T10:00:00.000Z\",\n \"caseLabel\": \"Alan assurance santé SaaS — séquence Seed→A→B→C (2016-2022)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/carbon-roadmap", "slug": "carbon-roadmap", "tags": [ "esg-csrd", "sustainability", "carbon" ], "title": "Carbon decarbonization roadmap — Scopes 1/2/3 hotspots + capex plan", "category": "data", "mcp_tool": "carbon-roadmap", "languages": [ "fr", "en" ], "use_cases": [ "Net-zero roadmap board approval", "CSRD ESRS E1 disclosure preparation", "Green finance application (BEI, BPI)", "Supplier SBTi engagement planning", "Capex prioritization for decarbonization" ], "workflows": [ "csrd-readiness" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/carbon-roadmap/schema", "sla_uptime": "99.5%", "subcategory": "esg-csrd", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Carrefour France\",\n \"sector\": \"Retail multi-format — hypermarchés / supermarchés / proximité / e-commerce\",\n \"fte\": 80000,\n \"revenueEur\": 41200000000,\n \"locations\": 5500,\n \"referenceYear\": 2024\n },\n \"perimeter\": {\n \"organizational\": \"operational-control\",\n \"geographic\": [\n \"France métropolitaine\"\n ],\n \"excludedActivities\": \"Filiales bancaires Carrefour Banque (reportées séparément). Activités 100% sous-traitées hors stations service intégrées.\"\n },\n \"scope1Sources\": [\n {\n \"source\": \"Combustion gaz naturel chaudières magasins\",\n \"fuelType\": \"Gaz naturel\",\n \"annualConsumption\": 2400000,\n \"unit\": \"MWh PCI\"\n },\n {\n \"source\": \"Carburants flotte logistique propre (300 camions)\",\n \"fuelType...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 54.3, "output_complexity": 25, "median_sources_cited": 19, "median_quantified_claims": 153 }, "complementary_endpoints": [ "action-plan-esg", "esrs-narrative-builder", "supplier-esg-audit", "carbon-footprint-calculator", "diversity-inclusion-metrics" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"baseline\",\"scope3Breakdown\",\"topHotspots\",\"reductionLevers\",\"sbtiTrajectory\",\"milestones\",\"financingOptions\",\"governance\",\"totalReductionPotential\",\"quickWins\",\"risks\",\"scenarios\",\"scope_1_2_3_baseline\",\"5_year_trajectory\",\"offset_strategy\",\"investment_envelope\",\"emissions_breakdown\",\"trajectory_chart\",\"methodology\",\"sources\",\"presenterScript\"], \"samples\": {\n \"generatedAt\": \"2026-05-14T11:00:00.000Z\",\n \"caseLabel\": \"Carrefour France — Roadmap décarbonation 2024-2050\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/champion-mapping", "slug": "champion-mapping", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "Champion identification map — influence graph + coaching plan", "category": "reasoning", "mcp_tool": "champion-mapping", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [ "sales-prep-quarterly" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/champion-mapping/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"deal\": {\n \"companyName\": \"Decathlon Group\",\n \"sector\": \"Retail / Grande distribution sportive\",\n \"dealSizeEur\": 120000,\n \"stage\": \"Proof of Concept en cours — décision Q2\"\n },\n \"knownContacts\": [\n {\n \"name\": \"Marie Dupont\",\n \"title\": \"Finance Controller Europe\",\n \"department\": \"Finance\",\n \"engagementLevel\": \"high\",\n \"notes\": \"Initiatrice du projet, très pro-Spendesk, mais pas décisionnaire budget\"\n },\n {\n \"name\": \"Thomas Berger\",\n \"title\": \"CFO Group\",\n \"department\": \"Finance\",\n \"engagementLevel\": \"low\",\n \"notes\": \"Rencontré une fois en kickoff, peu impliqué depuis\"\n },\n {\n \"name\": \"Laurent Petit\",\n \"title\": \"IT Security Manager\",\n \"department\": \"IT\",\n \"engagementLevel\": \"medium\",\n ...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 17.4, "output_complexity": 9, "median_sources_cited": 5, "median_quantified_claims": 33 }, "complementary_endpoints": [ "battle-cards-live", "discovery-prep", "proposal-generator", "meddic-scoring", "pricing-in-deal" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"contactScores\",\"recommendedChampion\",\"missingContacts\",\"multiTouchPlan\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-08T10:00:00.000Z\",\n \"caseLabel\": \"Spendesk × Decathlon (deal €120k/an) — Champion Thomas CFO score 78 · Bloqueur Sophie Achats · 5 contacts manquants · Plan 8 semaines\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/churn-defender", "slug": "churn-defender", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "Churn risk defender — early-warning signals + save playbook", "category": "reasoning", "mcp_tool": "churn-defender", "languages": [ "fr" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/churn-defender/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Spendesk\",\n \"sector\": \"FinTech SaaS B2B — gestion des dépenses entreprise (spend management, cartes virtuelles, notes de frais)\",\n \"arr\": 8000000,\n \"totalAccounts\": 400,\n \"avgContractValueEur\": 20000,\n \"currentChurnRatePct\": 12,\n \"targetChurnRatePct\": 8,\n \"renewalWindowMonths\": 3\n },\n \"accounts\": [\n {\n \"id\": \"ACC-001\",\n \"name\": \"Koolicar\",\n \"arrEur\": 48000,\n \"contractRenewalDate\": \"2025-07-15\",\n \"industry\": \"Mobility / Tech\",\n \"size\": \"sme\",\n \"csmOwner\": \"Camille R.\",\n \"usageDropPct\": -52,\n \"npsScore\": -20,\n \"openTickets\": 7,\n \"missedPayments\": 1,\n \"lastLoginDaysAgo\": 21,\n \"championsLeft\": 2,\n \"competitorMentions\": 3,\n \"notes\": \"Champion finance parti en jan...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 43.8, "output_complexity": 11, "median_sources_cited": 4, "median_quantified_claims": 137 }, "complementary_endpoints": [ "battle-cards-live", "discovery-prep", "proposal-generator", "meddic-scoring", "champion-mapping" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"portfolioHeatMap\",\"redFlagAccounts\",\"driverFrequencyAnalysis\",\"weeklyAlertsCadence\",\"preventionPlan\",\"methodology\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T10:00:00.000Z\",\n \"caseLabel\": \"Spendesk — portefeuille 400 clients PME/ETI, détection churn Q2 2025 (€8M ARR)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/comp-plan-architect", "slug": "comp-plan-architect", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "Compensation plan design — quota logic + accelerator bands", "category": "reasoning", "mcp_tool": "comp-plan-architect", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [ "revops-foundation", "hr-people-strategy" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/comp-plan-architect/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Heliotrope HR\",\n \"sector\": \"SaaS RH & paie\",\n \"stage\": \"seed\"\n },\n \"salesTeam\": {\n \"roles\": [\n {\n \"role\": \"sdr\",\n \"headcount\": 3,\n \"currentBaseSalary\": 32000\n },\n {\n \"role\": \"ae\",\n \"headcount\": 4,\n \"currentOteSalary\": 75000,\n \"currentBaseSalary\": 45000\n },\n {\n \"role\": \"csm\",\n \"headcount\": 2,\n \"currentOteSalary\": 65000,\n \"currentBaseSalary\": 45000\n },\n {\n \"role\": \"manager\",\n \"headcount\": 1,\n \"currentOteSalary\": 110000,\n \"currentBaseSalary\": 75000\n }\n ],\n \"totalSalesHeadcount\": 10\n },\n \"targets\": {\n \"annualRevenueTargetEur\": 3500000,\n \"averageContractValueEur\": 5400,\n \"salesCycleTargetDays...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 14.8, "output_complexity": 11, "median_sources_cited": 5, "median_quantified_claims": 105 }, "complementary_endpoints": [ "cross-sell-reco", "revops-architect", "sales-pipeline-forecast", "battle-cards-live", "discovery-prep" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"compPlanByRole\",\"salaryBenchmarks\",\"totalCompBudgetEur\",\"quotaCoverage\",\"implementationRoadmap\",\"governanceRules\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T11:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub — Comp Plan 4 rôles commerciaux · OTE €65-125k · Budget comp €756k · Quota coverage 3.2×\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/content-engine", "slug": "content-engine", "tags": [ "cmo-prep", "marketing-strategy", "brand-watch" ], "title": "Content engine strategy — editorial calendar + channel mix", "category": "data", "mcp_tool": "content-engine", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly marketing review prep", "Pre-board brand performance briefing", "Campaign ROI post-mortem", "Competitive positioning refresh", "Investor deck marketing section" ], "workflows": [ "launch-readiness" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/content-engine/schema", "sla_uptime": "99.5%", "subcategory": "marketing-intelligence", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"brand\": {\n \"name\": \"Notion\",\n \"voiceAttributes\": [\n \"friendly\",\n \"expert\",\n \"playful\",\n \"founder-rooted\"\n ],\n \"audienceLabel\": \"Knowledge workers + product / ops teams in B2B SaaS (5-500 FTE)\"\n },\n \"cluster\": {\n \"topic\": \"Connected workspace : passer de Notion personnel à Notion équipe de 50+\",\n \"primaryIntent\": \"informational\",\n \"geography\": \"FR + EN — global SaaS\"\n },\n \"months\": 6,\n \"maxArticlesPerMonth\": 22\n}", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 15.6, "output_complexity": 11, "median_sources_cited": 5, "median_quantified_claims": 20 }, "complementary_endpoints": [ "positioning-strategist", "paid-ads-optimizer", "abm-architect", "trend-watcher", "competitor-intel" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"monthlyOutputPlan\",\"pillarContent\",\"supportingContent\",\"distributionPlan\",\"newsletterPlan\",\"seoPositioning\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T12:00:00.000Z\",\n \"caseLabel\": \"Notion — content engine 2026 (productivity B2B)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/contract-risk-scanner", "slug": "contract-risk-scanner", "tags": [ "risk-mgmt", "compliance", "cyber" ], "title": "Contract risk scanner — red-flag clauses + mitigation options", "category": "data", "mcp_tool": "contract-risk-scanner", "languages": [ "fr", "en", "zh-CN" ], "use_cases": [ "Quarterly risk committee prep", "Pre-audit compliance brief", "Cyber risk board presentation", "Regulatory change impact analysis", "Third-party risk screening" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/contract-risk-scanner/schema", "sla_uptime": "99.5%", "subcategory": "risk-compliance", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"contractContext\": {\n \"ourRole\": \"buyer\",\n \"contractType\": \"MSA\",\n \"counterparty\": {\n \"name\": \"Salesforce\",\n \"sector\": \"Cloud CRM SaaS\"\n },\n \"dealSize\": \"€480k/an (3 ans, 600 sièges Enterprise — Sales Cloud + Service Cloud)\"\n },\n \"contractText\": \"SALESFORCE MASTER SUBSCRIPTION AGREEMENT — EXTRAITS REPRÉSENTATIFS\\n\\nLes clauses ci-dessous sont représentatives des dispositions types d'un accord-cadre de souscription SaaS enterprise. Elles constituent le périmètre de revue pour un acheteur (buyer) domicilié en France, entité juridique française SAS, soumis au droit français et au RGPD.\\n\\n---\\n\\n1. LIMITATION DE RESPONSABILITÉ\\n\\n1.1 Exclusion réciproque de dommages indirects. EN AUCUN CAS L'UNE OU L'AUTRE PARTIE NE SERA RESPONSABLE ENVERS L'AUTRE PARTIE OU S...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 33.1, "output_complexity": 10, "median_sources_cited": 5, "median_quantified_claims": 49 }, "complementary_endpoints": [ "ai-governance-pilot", "sustainability-reporting-pilot", "privacy-compliance-audit", "cyber-risk-auditor", "fraud-detector" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"riskScore\",\"topRisks\",\"redlines\",\"negotiationPlaybook\",\"complianceFlags\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T09:15:42.000Z\",\n \"caseLabel\": \"Salesforce MSA — revue d'un client SaaS B2B EMEA (buyer)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/cross-sell-reco", "slug": "cross-sell-reco", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "Cross-sell recommender — propensity scores + conversation triggers", "category": "reasoning", "mcp_tool": "cross-sell-reco", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [ "revops-foundation" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/cross-sell-reco/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Atlas Commerce\",\n \"sector\": \"Plateforme e-commerce B2B\"\n },\n \"account\": {\n \"name\": \"Alan\",\n \"arrEur\": 1188,\n \"currentProducts\": [\n \"Atlas Commerce — Pack RH CHRO\"\n ],\n \"usageSignals\": [\n \"CHRO génère 3 rapports/semaine (enPS, performance reviews, recrutement)\",\n \"CFO a demandé l'accès en lecture sur les rapports RH\",\n \"Levée Série D €183M annoncée — headcount planifié ×2\",\n \"Directeur de la Stratégie nouveau depuis 3 mois\",\n \"Ouverture bureaux Espagne + Italie planifiée Q3 2026\"\n ],\n \"size\": \"enterprise\"\n },\n \"portfolio\": [\n {\n \"name\": \"Pack Finance CFO\",\n \"category\": \"Finance & Trésorerie\"\n },\n {\n \"name\": \"Pack Stratégie CEO\",\n \"category\": \"Stratégie & M&A\"\n },\n {\n...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 15.3, "output_complexity": 6, "median_sources_cited": 7, "median_quantified_claims": 32 }, "complementary_endpoints": [ "comp-plan-architect", "revops-architect", "sales-pipeline-forecast", "battle-cards-live", "discovery-prep" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"recommendations\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T09:30:00.000Z\",\n \"caseLabel\": \"Alan × Gapup Hub — 5 produits recommandés · Fit 'perfect' × 2 · ARR potentiel +€18k · 3 objections par reco\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/customer-marketing", "slug": "customer-marketing", "tags": [ "cmo-prep", "marketing-strategy", "brand-watch" ], "title": "Customer marketing plan — advocacy + reference program design", "category": "data", "mcp_tool": "customer-marketing", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly marketing review prep", "Pre-board brand performance briefing", "Campaign ROI post-mortem", "Competitive positioning refresh", "Investor deck marketing section" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/customer-marketing/schema", "sla_uptime": "99.5%", "subcategory": "marketing-intelligence", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Solstice Mobility\",\n \"sector\": \"Mobilité & transport\"\n },\n \"product\": {\n \"name\": \"Solstice Mobility\"\n },\n \"goals\": [\n \"case-studies\",\n \"testimonials\",\n \"referrals\",\n \"ambassadors\"\n ],\n \"contentBudgetEur\": 18000,\n \"targetUseCases\": [\n \"Reporting board CFO\",\n \"Intelligence concurrentielle CRO\",\n \"Analyse de marché CMO\",\n \"Gestion des risques\",\n \"Préparation fundraising\"\n ],\n \"customers\": [\n {\n \"id\": \"C001\",\n \"name\": \"Agicap\",\n \"industry\": \"FinTech\",\n \"arrEur\": 3588,\n \"npsScore\": 8.9,\n \"usageRatePct\": 83,\n \"tenure\": \"8 mois\",\n \"keyContact\": \"CFO Thomas Brun\",\n \"useCase\": \"Reporting board mensuel CFO en 20 min vs 3 semaines\",\n \"referenceWilling\": true\n },\n {\n ...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 16.6, "output_complexity": 10, "median_sources_cited": 5, "median_quantified_claims": 42 }, "complementary_endpoints": [ "trend-watcher", "competitor-intel", "customer-voice-synth", "market-sizing", "positioning-strategist" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"advocacyScore\",\"prioritizedCustomers\",\"contentPlan\",\"ambassadorProgram\",\"referralMechanism\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T11:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub — Customer Marketing 12 clients · 6 ambassadeurs Ready + 3 Nurture + 3 Not-Yet · Programme Gapup Champions 3 tiers\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/customer-voice-synth", "slug": "customer-voice-synth", "tags": [ "cmo-prep", "marketing-strategy", "brand-watch" ], "title": "Customer voice synthesis — verbatim themes + NPS driver map", "category": "data", "mcp_tool": "customer-voice-synth", "languages": [ "fr", "de", "en", "pt" ], "use_cases": [ "Quarterly marketing review prep", "Pre-board brand performance briefing", "Campaign ROI post-mortem", "Competitive positioning refresh", "Investor deck marketing section" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/customer-voice-synth/schema", "sla_uptime": "99.5%", "subcategory": "marketing-intelligence", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Alan\",\n \"sector\": \"Insurtech / Assurance santé digitale\",\n \"product\": \"Alan — mutuelle santé 100% digitale pour entreprises et indépendants\"\n },\n \"dataSources\": [\n {\n \"type\": \"reviews\",\n \"volume\": 1240,\n \"description\": \"Trustpilot + Google Reviews + App Store (note 4.3/5)\"\n },\n {\n \"type\": \"nps-verbatims\",\n \"volume\": 3800,\n \"description\": \"Enquêtes NPS trimestrielles (NPS global : 58)\"\n },\n {\n \"type\": \"support-tickets\",\n \"volume\": 620,\n \"description\": \"Tickets Intercom classifiés par catégorie, derniers 6 mois\"\n },\n {\n \"type\": \"churn-surveys\",\n \"volume\": 187,\n \"description\": \"Exit surveys utilisateurs ayant résilié (taux réponse 34%)\"\n }\n ],\n \"targetSegments\": [\n ...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 26.9, "output_complexity": 9, "median_sources_cited": 9, "median_quantified_claims": 109 }, "complementary_endpoints": [ "trend-watcher", "competitor-intel", "market-sizing", "positioning-strategist", "pricing-strategist" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"personas\",\"themeAnalysis\",\"repositioningReco\",\"scenarios\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-08T10:00:00.000Z\",\n \"caseLabel\": \"Alan (assurance santé) — 4 personas · 5 thèmes + / 5 thèmes - · 5 ajustements messagerie · Repositionnement 'Santé Proactive'\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/cyber-risk-auditor", "slug": "cyber-risk-auditor", "tags": [ "risk-mgmt", "compliance", "cyber" ], "title": "Cyber risk audit — attack surface map + priority hardening steps", "category": "data", "mcp_tool": "cyber-risk-auditor", "languages": [ "fr", "ar", "de", "en", "es", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly risk committee prep", "Pre-audit compliance brief", "Cyber risk board presentation", "Regulatory change impact analysis", "Third-party risk screening" ], "workflows": [ "risk-compliance-scan" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/cyber-risk-auditor/schema", "sla_uptime": "99.5%", "subcategory": "risk-compliance", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Qonto\",\n \"sector\": \"FinTech — Banque en ligne B2B (néobanque PME)\",\n \"size\": \"midmarket\",\n \"dataTypes\": [\n \"Données bancaires clients\",\n \"IBAN + RIB\",\n \"Transactions financières\",\n \"Données personnelles (RGPD)\",\n \"KYC/AML documents\",\n \"Données comptables\"\n ]\n },\n \"techStack\": {\n \"cloudProviders\": [\n \"AWS\",\n \"GCP\"\n ],\n \"keyApps\": [\n \"Salesforce\",\n \"Segment\",\n \"Datadog\",\n \"PagerDuty\",\n \"Jira\",\n \"Confluence\",\n \"Slack\",\n \"1Password\"\n ],\n \"identityProvider\": \"Okta SSO + SAML2\",\n \"endpointMgmt\": \"Jamf (Mac) + Intune (Windows)\"\n },\n \"currentPosture\": {\n \"hasSOC\": false,\n \"hasPenTest\": true,\n \"hasSOC2orISO27001\": false,\n \"mfa\": true,\n \"in...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 25.1, "output_complexity": 19, "median_sources_cited": 6, "median_quantified_claims": 29 }, "complementary_endpoints": [ "privacy-compliance-audit", "fraud-detector", "kyc-screener", "ai-governance-pilot", "sustainability-reporting-pilot" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"overallScore\",\"riskLevel\",\"domainScores\",\"findings\",\"quickWins\",\"roadmap90Days\",\"insuranceContext\",\"complianceGaps\",\"sources\",\"asset_inventory\",\"threat_modeling\",\"control_gaps\",\"remediation_roadmap\",\"risk_heatmap\",\"control_maturity_radar\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T10:30:00.000Z\",\n \"caseLabel\": \"Qonto — Audit cyber risque B2B FinTech · Score 58/100 → roadmap 90j · 8 findings critiques/high · économie prime -28%\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/deal-coach", "slug": "deal-coach", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "Deal coaching brief — next-step blockers + close probability lift", "category": "reasoning", "mcp_tool": "deal-coach", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/deal-coach/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"deal\": {\n \"accountName\": \"Société Générale Enterprise Edition\",\n \"amountEur\": 1200000,\n \"stage\": \"negotiation\",\n \"daysInStage\": 45,\n \"expectedCloseDate\": \"2026-09-30\",\n \"ownerRep\": \"Tom Durand\"\n },\n \"buyingCommittee\": [\n {\n \"name\": \"Fabrice Lechantre\",\n \"title\": \"VP Engineering Risk\",\n \"role\": \"champion\"\n },\n {\n \"name\": \"Marie-Claire Vidal\",\n \"title\": \"DSI Banque de Détail\",\n \"role\": \"economic-buyer\"\n },\n {\n \"name\": \"Pierre Aubert\",\n \"title\": \"Senior Director Architecture\",\n \"role\": \"user\"\n },\n {\n \"name\": \"Stéphanie Berger\",\n \"title\": \"Head of Procurement Banque\",\n \"role\": \"blocker\"\n },\n {\n \"name\": \"Olivier Marchand\",\n \"title\": \"Risk Compliance Officer\",\n \"role\"...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 15.4, "output_complexity": 11, "median_sources_cited": 3, "median_quantified_claims": 22 }, "complementary_endpoints": [ "battle-cards-live", "discovery-prep", "proposal-generator", "meddic-scoring", "champion-mapping" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"methodology\",\"meddicDiagnostic\",\"overallScore\",\"riskLevel\",\"nextActions\",\"escalationPlay\",\"quickWins\"], \"samples\": {\n \"generatedAt\": \"2026-05-07T03:00:00.000Z\",\n \"caseLabel\": \"Datadog × Société Générale €1.2M — MEDDIC score 65/100 orange · 45j stuck negotiation · Escalation play 3 mouvements\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/deal-structurer", "slug": "deal-structurer", "tags": [ "cso-prep", "strategy", "m-and-a" ], "title": "Deal structurer — term architecture + value-creation levers", "category": "reasoning", "mcp_tool": "deal-structurer", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Annual strategy review preparation", "M&A target screening", "Geographic expansion decision brief", "Board strategy session pre-read", "Competitive scenario planning" ], "workflows": [ "ma-deal-screening" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/deal-structurer/schema", "sla_uptime": "99.5%", "subcategory": "corporate-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Agicap\",\n \"sector\": \"SaaS trésorerie & cash-flow B2B\"\n },\n \"deal\": {\n \"partnerName\": \"Kyriba\",\n \"partnerProfile\": \"Leader TMS (Treasury Management System) entreprises mid-market et grands groupes. ARR €150M. 2000 clients en Europe. API Banking mature.\",\n \"objective\": \"Intégrer les prévisions AI d'Agicap dans l'interface Kyriba pour offrir une couche prédictive aux CFO Kyriba, sans développement interne.\",\n \"estimatedValue\": \"€5-15M ARR potentiel sur 3 ans via co-selling\",\n \"constraints\": [\n \"Agicap ne veut pas perdre sa relation directe client\",\n \"Kyriba impose minimum 30% de rev-share\",\n \"Délai de négociation max 90 jours\"\n ]\n }\n}", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 10.1, "output_complexity": 9, "median_sources_cited": 3, "median_quantified_claims": 36 }, "complementary_endpoints": [ "ma-deal-screener", "partnership-synergies", "capital-strategy", "growth-path-architect", "strategic-options-analyzer" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"recommendedStructure\",\"structures\",\"termSheetHighlights\",\"negotiationScript\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-14T10:00:00.000Z\",\n \"caseLabel\": \"Agicap × Kyriba — Partenariat API Banking · 5 structures comparées · Term sheet 8 clauses · Script négo 6 moments · Score 83/100 JV\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/discovery-prep", "slug": "discovery-prep", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "Discovery prep pack — power questions + pain-hypothesis map", "category": "reasoning", "mcp_tool": "discovery-prep", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/discovery-prep/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"prospect\": {\n \"name\": \"Airbus\",\n \"url\": \"https://www.airbus.com\",\n \"sector\": \"Aéronautique & défense — Manufacturing industriel\",\n \"size\": \"enterprise\"\n },\n \"contact\": {\n \"name\": \"Marc Legrand\",\n \"title\": \"VP Digital Transformation & Data\"\n },\n \"ourOffer\": \"Gapup Hub — suite IA C-suite (9 AI executives) pour accélérer les décisions stratégiques, financières et commerciales. Pricing All-Access €999/mo.\",\n \"meetingGoal\": \"Qualifier le besoin en IA décisionnelle pour le top management Airbus (C-level + VP). Identifier champion + budget + timeline pour pilote Q3 2026.\"\n}", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 19.3, "output_complexity": 14, "median_sources_cited": 6, "median_quantified_claims": 44 }, "complementary_endpoints": [ "battle-cards-live", "proposal-generator", "meddic-scoring", "champion-mapping", "pricing-in-deal" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"contactProfile\",\"companySnapshot\",\"buyingSignals\",\"painHypotheses\",\"openingTalk\",\"top5Questions\",\"thingsToAvoid\",\"competitorContext\",\"quickWins\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T08:00:00.000Z\",\n \"caseLabel\": \"Discovery Salesforce × Airbus — VP Digital Marc Legrand · 8 signaux achat · 6 pain hypos · Opening talk 3 variants · +28 pts conversion demo\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/diversity-inclusion-metrics", "slug": "diversity-inclusion-metrics", "tags": [ "esg-csrd", "sustainability", "carbon" ], "title": "D&I metrics dashboard — representation gaps + program ROI", "category": "data", "mcp_tool": "diversity-inclusion-metrics", "languages": [ "fr" ], "use_cases": [ "CSRD annual reporting preparation", "Board ESG dashboard", "Carbon trajectory review", "Supplier ESG audit prep", "SBTi alignment verification" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/diversity-inclusion-metrics/schema", "sla_uptime": "99.5%", "subcategory": "esg-csrd", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"OVHcloud\",\n \"sector\": \"Cloud infrastructure & hosting\",\n \"fte\": 2850,\n \"geographies\": [\n \"France\",\n \"Canada\",\n \"Poland\",\n \"USA\",\n \"Germany\",\n \"Singapore\"\n ],\n \"stage\": \"Public (Euronext: OVH)\"\n },\n \"currentState\": {\n \"genderRepresentationPct\": {\n \"overall\": 28,\n \"management\": 19,\n \"exec\": 11\n },\n \"payEquityGapPct\": 9.4,\n \"nationalityCount\": 42,\n \"ergCount\": 1,\n \"knownChallenges\": [\n \"Industrie tech / cloud historiquement masculine — pipeline talents femmes en engineering <22%\",\n \"Index Égalité Pénicaud OVH 2024 : 78/100 (cible >85 obligatoire 2027)\",\n \"Pay gap adjusted 5,8% à profil égal (M-F) — non négligeable\",\n \"Représentation ExCo : 1 femme sur 9 — percep...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 40.2, "output_complexity": 21, "median_sources_cited": 12, "median_quantified_claims": 155 }, "complementary_endpoints": [ "carbon-footprint-calculator", "action-plan-esg", "carbon-roadmap", "esrs-narrative-builder", "supplier-esg-audit" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"dimensions\",\"payEquity\",\"representationByLevel\",\"actionPlan\",\"reportingDashboard\",\"ergs\",\"risks\",\"rollout90Days\",\"methodology\",\"sources\",\"presenterScript\",\"payEquityAnalysis\",\"promotionParity\",\"attritionByGroup\",\"inclusionPulse\",\"regulatoryDisclosure\",\"quickWins\"], \"samples\": {\n \"generatedAt\": \"2026-05-14T14:00:00.000Z\",\n \"caseLabel\": \"OVHcloud — Métriques D&I 2026-2030\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/earnings-reviewer", "slug": "earnings-reviewer", "tags": [ "fundraising", "vc-prep", "pitch" ], "title": "Earnings review pack — variance analysis + analyst FAQ", "category": "reasoning", "mcp_tool": "earnings-reviewer", "languages": [ "fr", "en" ], "use_cases": [ "Fundraising round preparation", "VC investor shortlist screening", "Cap table dilution modeling", "Term sheet negotiation prep", "Post-money valuation scenario analysis" ], "workflows": [ "ma-deal-screening" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/earnings-reviewer/schema", "sla_uptime": "99.5%", "subcategory": "fundraising-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Salesforce\",\n \"ticker\": \"CRM\",\n \"sector\": \"Enterprise Cloud Software (CRM / AI)\",\n \"exchange\": \"NYSE\"\n },\n \"quarter\": {\n \"label\": \"Q3 FY2026\",\n \"reportDate\": \"2025-11-19\"\n },\n \"transcriptExcerpt\": \"SALESFORCE Q3 FY2026 EARNINGS CALL — SELECTED TRANSCRIPT EXCERPTS\\nNovember 19, 2025 — 5:00 PM ET\\n\\n[OPERATOR] Welcome to Salesforce's Q3 FY2026 Earnings Conference Call. At this time, all participants are in listen-only mode.\\n\\n[MARC BENIOFF — Chairman & CEO]\\nThank you everyone and welcome to our Q3 FY2026 earnings call. I'm incredibly excited to share that we delivered another exceptional quarter. Revenue came in at $9.44 billion, up 8% year-over-year, exceeding consensus estimates. Our non-GAAP operating margin expanded to 33.1%, demonstr...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 27.3, "output_complexity": 13, "median_sources_cited": 21, "median_quantified_claims": 89 }, "complementary_endpoints": [ "pitch-deck-storyline", "bp-narratif", "cap-table-strategist", "investor-list", "investor-shortlist" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"callHighlights\",\"modelDeltas\",\"guidanceUpdate\",\"segmentBreakdown\",\"analystNoteDraft\",\"peerComps\",\"methodology\",\"quickWins\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2025-11-19T22:30:00.000Z\",\n \"caseLabel\": \"Salesforce (CRM) — Q3 FY2026 — Beat & Raise · Agentforce ramp · Margin path to 35%\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/enps-auto", "slug": "enps-auto", "tags": [ "chro-prep", "hr-strategy", "performance" ], "title": "eNPS auto-analyzer — driver breakdown + action priorities", "category": "data", "mcp_tool": "enps-auto", "languages": [ "fr", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly people review prep", "Pre-board HR dashboard", "Talent retention risk briefing", "Compensation benchmarking", "Culture & engagement audit" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/enps-auto/schema", "sla_uptime": "99.5%", "subcategory": "people-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"BlaBlaCar\",\n \"sector\": \"Marketplace mobility / Travel SaaS B2C\",\n \"fte\": 700,\n \"locations\": [\n \"Paris (HQ)\",\n \"Madrid\",\n \"Hamburg\",\n \"Warsaw\",\n \"Mexico City\",\n \"São Paulo\",\n \"Mumbai\",\n \"Kyiv\"\n ],\n \"currentEnps\": 28,\n \"targetEnps\": 50\n },\n \"segmentation\": {\n \"departments\": [\n \"Engineering\",\n \"Product\",\n \"Design\",\n \"Data\",\n \"Marketplace Operations\",\n \"Customer Care\",\n \"Marketing\",\n \"Sales B2B (Bus)\",\n \"People & Culture\",\n \"Finance & Legal\",\n \"Strategy\"\n ],\n \"tenureBands\": [\n \"0-6 mois\",\n \"6-18 mois\",\n \"18-36 mois\",\n \"3-5 ans\",\n \"5+ ans\"\n ],\n \"avgTenureMonths\": 28,\n \"remotePolicy\": \"hybrid\"\n },\n \"contex...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 21.2, "output_complexity": 12, "median_sources_cited": 4, "median_quantified_claims": 54 }, "complementary_endpoints": [ "internal-communication", "ld-architect", "recruiting-architect", "diversity-inclusion-metrics" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"methodology\",\"pulseProgram\",\"segmentScores\",\"topPlays\",\"dashboards\",\"changeManagement\",\"benchmarks\",\"quickWins\"], \"samples\": {\n \"generatedAt\": \"2026-05-07T01:00:00.000Z\",\n \"caseLabel\": \"BlaBlaCar — eNPS pulse program 700 FTE 8 pays · target 50 (vs 28 baseline) · 18 mois\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/esrs-narrative-builder", "slug": "esrs-narrative-builder", "tags": [ "esg-csrd", "sustainability", "carbon" ], "title": "ESRS narrative builder — disclosure-ready text + data evidence map", "category": "data", "mcp_tool": "esrs-narrative-builder", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "CSRD annual reporting preparation", "Board ESG dashboard", "Carbon trajectory review", "Supplier ESG audit prep", "SBTi alignment verification" ], "workflows": [ "csrd-readiness" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/esrs-narrative-builder/schema", "sla_uptime": "99.5%", "subcategory": "esg-csrd", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"L'Oréal France\",\n \"sector\": \"Beauty & cosmetics — multi-brand global\",\n \"fte\": 88000,\n \"revenueEur\": 41200000000,\n \"reportingYear\": 2024\n },\n \"scope\": {\n \"standardsApplicable\": [\n \"ESRS-E1-climate\",\n \"ESRS-E2-pollution\",\n \"ESRS-E3-water\",\n \"ESRS-E5-resources\",\n \"ESRS-S1-workforce\",\n \"ESRS-S2-value-chain\",\n \"ESRS-S4-consumers\",\n \"ESRS-G1-business-conduct\"\n ],\n \"countriesOfOperation\": [\n \"France\",\n \"USA\",\n \"Brazil\",\n \"China\",\n \"Germany\",\n \"UK\",\n \"Italy\",\n \"Spain\",\n \"India\",\n \"Mexico\",\n \"Japan\",\n \"Russia\"\n ],\n \"valueChainScope\": \"Upstream : 100k+ raw material suppliers (vegetal extracts, packaging, chemistry). Operations : 40 product...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 15.1, "output_complexity": 9, "median_sources_cited": 6, "median_quantified_claims": 48 }, "complementary_endpoints": [ "action-plan-esg", "carbon-roadmap", "supplier-esg-audit", "carbon-footprint-calculator", "diversity-inclusion-metrics" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"methodology\",\"doubleMaterialityMatrix\",\"narrativeSections\",\"assuranceReadiness\",\"quickWins\"], \"samples\": {\n \"generatedAt\": \"2026-05-07T02:10:00.000Z\",\n \"caseLabel\": \"L'Oréal France — narratif ESRS Y2024 · 8 standards applicables · readiness 78% pre-assurance\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/event-marketing", "slug": "event-marketing", "tags": [ "cmo-prep", "marketing-strategy", "brand-watch" ], "title": "Event marketing brief — ROI model + pre/post activation plan", "category": "data", "mcp_tool": "event-marketing", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly marketing review prep", "Pre-board brand performance briefing", "Campaign ROI post-mortem", "Competitive positioning refresh", "Investor deck marketing section" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/event-marketing/schema", "sla_uptime": "99.5%", "subcategory": "marketing-intelligence", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Pennylane\",\n \"sector\": \"Fintech / SaaS comptabilité\",\n \"website\": \"pennylane.com\",\n \"targetAudience\": \"Experts-comptables et PME dirigées, France + Benelux\"\n },\n \"eventBudget\": {\n \"annualBudgetEur\": 120000,\n \"currentSpend\": {\n \"salons\": 60000,\n \"webinars\": 15000,\n \"conferences\": 30000,\n \"roundtables\": 15000\n }\n },\n \"currentEventPerformance\": {\n \"eventsPerYear\": 12,\n \"avgAttendeesPerEvent\": 85,\n \"totalMQLsGenerated\": 180,\n \"costPerMQL\": 667,\n \"pipelineGeneratedEur\": 2400000\n },\n \"salesCycleMonths\": 2,\n \"averageDealSizeEur\": 8400,\n \"targetAudiences\": [\n \"Experts-comptables cabinets 2-50 collaborateurs\",\n \"DAF / Dirigeants PME 10-200 salariés\",\n \"Startups financement levée série A+\"\n ],\n \"...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 11.9, "output_complexity": 7, "median_sources_cited": 7, "median_quantified_claims": 36 }, "complementary_endpoints": [ "trend-watcher", "competitor-intel", "customer-voice-synth", "market-sizing", "positioning-strategist" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"eventCalendar\",\"executionChecklist\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2025-08-15T14:30:00.000Z\",\n \"caseLabel\": \"Pennylane (€120k/an budget événements) — 8 événements sélectionnés · coût-MQL -38% vs année précédente · 4 phases exécution structurées\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/fraud-detector", "slug": "fraud-detector", "tags": [ "risk-mgmt", "compliance", "cyber" ], "title": "Fraud detection brief — pattern flags + control improvement plan", "category": "data", "mcp_tool": "fraud-detector", "languages": [ "fr" ], "use_cases": [ "Quarterly risk committee prep", "Pre-audit compliance brief", "Cyber risk board presentation", "Regulatory change impact analysis", "Third-party risk screening" ], "workflows": [ "risk-compliance-scan" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/fraud-detector/schema", "sla_uptime": "99.5%", "subcategory": "risk-compliance", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"TechManu SAS\",\n \"sector\": \"Fabrication industrielle (équipements de précision pour l'aéronautique et la défense)\",\n \"fte\": 148,\n \"revenueEur\": 32000000,\n \"country\": \"France\"\n },\n \"analysisPeriodDays\": 30,\n \"transactionVolumes\": {\n \"bankTransactionsPerMonth\": 3000,\n \"supplierInvoicesPerMonth\": 200,\n \"expenseReportsPerMonth\": 500,\n \"totalAmountEur\": 4200000\n },\n \"focus\": \"Focus prioritaire : (1) contrôle des factures fournisseurs sous-traitants (seuil d'approbation €5k sans double signature), (2) notes de frais équipe commerciale terrain (15 commerciaux, déplacements fréquents), (3) virements fournisseurs nouveaux créés en 2024, (4) transactions week-end et hors-heures (process ERP non bloquant), (5) détection de fractionnement de...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 60.9, "output_complexity": 14, "median_sources_cited": 25, "median_quantified_claims": 136 }, "complementary_endpoints": [ "privacy-compliance-audit", "cyber-risk-auditor", "kyc-screener", "ai-governance-pilot", "sustainability-reporting-pilot" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"anomalies\",\"fraudPatterns\",\"riskScorecard\",\"benfordsLaw\",\"vendorConcentration\",\"alertConfig\",\"recoveryProjection\",\"investigationWorkflow\",\"methodology\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T09:00:00.000Z\",\n \"caseLabel\": \"TechManu SAS — Industriel FR €32M CA, 148 FTE · 30j · 21 anomalies · €487k à risque\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/funding-hunter", "slug": "funding-hunter", "tags": [ "cfo-prep", "financial-modeling", "treasury" ], "title": "Funding source hunter — grant/debt/equity map + application tips", "category": "data", "mcp_tool": "funding-hunter", "languages": [ "fr", "en" ], "use_cases": [ "Quarterly financial review prep", "Pre-audit financial health check", "Board financial dashboard", "Cash-flow risk assessment", "Investor relations financial narrative" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/funding-hunter/schema", "sla_uptime": "99.5%", "subcategory": "financial-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"NovaThermal\",\n \"pitch\": \"PME industrielle française spécialisée en matériaux à changement de phase (MCP) pour le stockage thermique décarbonné. Fournit des solutions de stockage d'énergie thermique aux industriels énergivores (agroalimentaire, chimie, plasturgie) pour réduire leur facture énergétique de 20-40% et décarboner leur process. 47 clients B2B, 3 brevets déposés, certifiée ISO 9001.\",\n \"foundedYear\": 2019,\n \"countryHQ\": \"France (Grenoble, Auvergne-Rhône-Alpes)\",\n \"siret\": \"882XXXXXXXXXXX\",\n \"sector\": \"Cleantech — stockage thermique industriel\",\n \"stage\": \"series-a\"\n },\n \"financials\": {\n \"revenueEur\": 8200000,\n \"rdSpendEur\": 1400000,\n \"headcount\": 38,\n \"hasJEI\": true,\n \"hasCIREligibility\": true,\n \"grossMarginPct...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 41.2, "output_complexity": 10, "median_sources_cited": 7, "median_quantified_claims": 66 }, "complementary_endpoints": [ "margin-doctor-finance", "audit-pre-flight", "treasury-optimizer", "working-capital", "tax-optimization" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"mixSummary\",\"devices\",\"pipeline12m\",\"immediateActions\",\"methodology\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T10:00:00.000Z\",\n \"caseLabel\": \"NovaThermal — top 30 financements Cleantech MCP stockage thermique\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/geographic-expansion", "slug": "geographic-expansion", "tags": [ "cso-prep", "strategy", "m-and-a" ], "title": "Geographic expansion plan — market entry mode + risk-adjusted NPV", "category": "reasoning", "mcp_tool": "geographic-expansion", "languages": [ "fr", "ar", "de", "en", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Annual strategy review preparation", "M&A target screening", "Geographic expansion decision brief", "Board strategy session pre-read", "Competitive scenario planning" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/geographic-expansion/schema", "sla_uptime": "99.5%", "subcategory": "corporate-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Northwind Logistics\",\n \"sector\": \"Supply chain & logistique\",\n \"currentMarkets\": [\n \"France\"\n ],\n \"headcount\": 22\n },\n \"product\": {\n \"name\": \"Northwind Logistics\",\n \"pricingModel\": \"Abonnement annuel SaaS\",\n \"avgDealValueEur\": 12000\n },\n \"financials\": {\n \"currentArrEur\": 480000,\n \"expansionBudgetEur\": 1800000,\n \"targetArrNewMarketsEur\": 3200000\n },\n \"targetMarkets\": [\n {\n \"country\": \"Allemagne\",\n \"region\": \"DACH\",\n \"population\": 84000000,\n \"gdpPerCapitaUsd\": 51200,\n \"languages\": [\n \"Allemand\"\n ],\n \"regulatoryNotes\": \"RGPD + BSI (Bundesamt für Sicherheit) — standards sécurité élevés. Hébergement données exigé EU.\"\n },\n {\n \"country\": \"Royaume-Uni\",\n \"region\":...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 22.3, "output_complexity": 17, "median_sources_cited": 12, "median_quantified_claims": 60 }, "complementary_endpoints": [ "partnership-synergies", "deal-structurer", "capital-strategy", "growth-path-architect", "strategic-options-analyzer" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"recommendedSequence\",\"marketAssessments\",\"totalInvestmentRequiredEur\",\"totalProjectedArrYear2Eur\",\"globalRisks\",\"goToMarketFramework\",\"sources\",\"marketScoring\",\"entryModeRecommendation\",\"regulatoryMap\",\"goToMarketPlan\",\"financialProjections\",\"scenarios\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T11:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub — Expansion DE/UK/ES/NL · Budget €1.8M · ARR projeté €3.2M Y2\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/growth-path-architect", "slug": "growth-path-architect", "tags": [ "cso-prep", "strategy", "m-and-a" ], "title": "Growth path architecture — organic vs inorganic options + roadmap", "category": "reasoning", "mcp_tool": "growth-path-architect", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Annual strategy review preparation", "M&A target screening", "Geographic expansion decision brief", "Board strategy session pre-read", "Competitive scenario planning" ], "workflows": [ "board-quarterly" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/growth-path-architect/schema", "sla_uptime": "99.5%", "subcategory": "corporate-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Pennylane\",\n \"sector\": \"Fintech / SaaS comptabilité\",\n \"currentArrEur\": 30000000,\n \"geographies\": [\n \"France\",\n \"Allemagne\"\n ],\n \"teamSize\": 400\n },\n \"growthTarget\": {\n \"targetArrEur\": 120000000,\n \"horizonMonths\": 36,\n \"budgetAvailableEur\": 45000000\n },\n \"currentDrivers\": [\n {\n \"driver\": \"Croissance organique PLG (freemium + self-serve)\",\n \"contributionPct\": 55,\n \"growthRatePct\": 40\n },\n {\n \"driver\": \"Sales outbound mid-market\",\n \"contributionPct\": 30,\n \"growthRatePct\": 25\n },\n {\n \"driver\": \"Partenariats experts-comptables\",\n \"contributionPct\": 15,\n \"growthRatePct\": 60\n }\n ],\n \"constraints\": {\n \"maAppetite\": \"opportunistic\",\n \"geographicExpansionRead...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 9.9, "output_complexity": 8, "median_sources_cited": 2, "median_quantified_claims": 41 }, "complementary_endpoints": [ "partnership-synergies", "deal-structurer", "capital-strategy", "strategic-options-analyzer", "geographic-expansion" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"growthPaths\",\"recommendedMix\",\"roadmap\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-14T10:00:00.000Z\",\n \"caseLabel\": \"Pennylane (€30M ARR) — 4 voies de croissance · Mix recommandé : Organique + Geo EU + Partenariats · ARR cible €120M en 36 mois\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/insurance-coverage-analyzer", "slug": "insurance-coverage-analyzer", "tags": [ "risk-mgmt", "compliance", "cyber" ], "title": "Insurance coverage analysis — gap map + premium optimization", "category": "data", "mcp_tool": "insurance-coverage-analyzer", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly risk committee prep", "Pre-audit compliance brief", "Cyber risk board presentation", "Regulatory change impact analysis", "Third-party risk screening" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/insurance-coverage-analyzer/schema", "sla_uptime": "99.5%", "subcategory": "risk-compliance", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"companyName\": \"Keystone Assurances\",\n \"arrEur\": 480000,\n \"employeeCount\": 22,\n \"sector\": \"SaaS B2B IA\",\n \"jurisdiction\": \"France (EU)\",\n \"currentPolicies\": [\n {\n \"type\": \"rc-pro\",\n \"insurer\": \"AXA\",\n \"annualPremiumEur\": 8400,\n \"coverageLimitEur\": 1000000,\n \"deductibleEur\": 5000,\n \"expiryDate\": \"2027-01-15\",\n \"keyExclusions\": [\n \"Dommages liés à l'IA et algorithmes\",\n \"Cyber (traité séparément)\"\n ]\n },\n {\n \"type\": \"cyber\",\n \"insurer\": \"Generali Cyber\",\n \"annualPremiumEur\": 12000,\n \"coverageLimitEur\": 500000,\n \"deductibleEur\": 10000,\n \"expiryDate\": \"2026-12-01\",\n \"keyExclusions\": [\n \"Pannes de cloud provider (AWS/Vercel)\",\n \"Incidents liés aux sous-traitants IA (Anthro...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 12.5, "output_complexity": 13, "median_sources_cited": 4, "median_quantified_claims": 20 }, "complementary_endpoints": [ "ai-governance-pilot", "sustainability-reporting-pilot", "privacy-compliance-audit", "contract-risk-scanner", "cyber-risk-auditor" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"coverageScore\",\"coverageGaps\",\"policyRecommendations\",\"totalCurrentPremiumEur\",\"totalOptimizedPremiumEur\",\"rfpTemplate\",\"benchmarks\",\"sources\",\"concentrationRiskAnalysis\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T11:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub — 3 polices · €25.2k prime · Score 58/100 · 4 gaps · RFP prêt\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/internal-communication", "slug": "internal-communication", "tags": [ "chro-prep", "hr-strategy", "performance" ], "title": "Internal comms strategy — channel mix + message architecture", "category": "data", "mcp_tool": "internal-communication", "languages": [ "fr" ], "use_cases": [ "Quarterly people review prep", "Pre-board HR dashboard", "Talent retention risk briefing", "Compensation benchmarking", "Culture & engagement audit" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/internal-communication/schema", "sla_uptime": "99.5%", "subcategory": "people-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Decathlon\",\n \"sector\": \"Retail multi-canal — sports goods + services\",\n \"fte\": 105000,\n \"nbSites\": 1600,\n \"geographies\": [\n \"France\",\n \"Espagne\",\n \"Italie\",\n \"Allemagne\",\n \"Pologne\",\n \"UK\",\n \"USA\",\n \"Chine\",\n \"Inde\"\n ],\n \"stage\": \"Mature — 50 ans, transformation digitale + omnicanal\"\n },\n \"context\": {\n \"currentMaturity\": \"basic\",\n \"knownGaps\": [\n \"Cascade message stratégique depuis le ComEx jusqu'au manager magasin met 3-4 semaines (cible 5 jours)\",\n \"All-hands monde trimestriel : participation 35% en magasins vs 75% en sièges\",\n \"Pulse survey annuel uniquement — pas de signal continu sur engagement\",\n \"Pas de playbook crisis comms — 3 incidents 2024 mal gérés (rappel...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 49.6, "output_complexity": 21, "median_sources_cited": 6, "median_quantified_claims": 161 }, "complementary_endpoints": [ "enps-auto", "ld-architect", "recruiting-architect", "diversity-inclusion-metrics" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"channels\",\"audiencePlaybooks\",\"playTemplates\",\"editorialCalendar\",\"crisisComms\",\"measurement\",\"rollout90Days\",\"methodology\",\"sources\",\"presenterScript\",\"audienceSegmentation\",\"channelStack\",\"messageCalendar\",\"leadershipCommsPlan\",\"feedbackLoops\",\"metrics\",\"quickWins\"], \"samples\": {\n \"generatedAt\": \"2026-05-14T12:00:00.000Z\",\n \"caseLabel\": \"Decathlon — Plan de communication interne 2026\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/investor-list", "slug": "investor-list", "tags": [ "fundraising", "vc-prep", "pitch" ], "title": "Investor long list — fit-scored prospects + outreach tips", "category": "reasoning", "mcp_tool": "investor-list", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Fundraising round preparation", "VC investor shortlist screening", "Cap table dilution modeling", "Term sheet negotiation prep", "Post-money valuation scenario analysis" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/investor-list/schema", "sla_uptime": "99.5%", "subcategory": "fundraising-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Agicap\",\n \"sector\": \"SaaS trésorerie & cash-flow B2B PME\"\n },\n \"round\": {\n \"stage\": \"series-c\",\n \"ticketSizeMin\": 30000000,\n \"ticketSizeMax\": 80000000,\n \"geography\": [\n \"France\",\n \"Allemagne\",\n \"UK\",\n \"USA\"\n ],\n \"arrCurrent\": 25000000,\n \"useCase\": \"Agicap est le leader européen de la gestion de trésorerie PME. ARR €25M, 6000 clients, présence FR/DE/IT/ES/UK. Série C pour accélérer l'expansion US et lancer le crédit PME.\"\n },\n \"existingInvestors\": [\n \"Partech\",\n \"Tigerstone\",\n \"Balderton Capital\"\n ]\n}", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 17.6, "output_complexity": 12, "median_sources_cited": 8, "median_quantified_claims": 11 }, "complementary_endpoints": [ "pitch-deck-storyline", "bp-narratif", "cap-table-strategist", "earnings-reviewer", "investor-shortlist" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"investors\",\"outreachPriority\",\"sources\",\"target_investors\",\"fit_score_method\",\"warm_path_per_investor\",\"investor_table\",\"fit_score_distribution\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T10:00:00.000Z\",\n \"caseLabel\": \"Agicap Série C — 25 VCs matchés · Tier A: Accel/Index/Sequoia · Warm intro path chaque investisseur\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/investor-shortlist", "slug": "investor-shortlist", "tags": [ "fundraising", "vc-prep", "pitch" ], "title": "Investor shortlist — top-10 ranked leads + tailored angles", "category": "reasoning", "mcp_tool": "investor-shortlist", "languages": [ "fr" ], "use_cases": [ "Fundraising round preparation", "VC investor shortlist screening", "Cap table dilution modeling", "Term sheet negotiation prep", "Post-money valuation scenario analysis" ], "workflows": [ "fundraising-prep" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/investor-shortlist/schema", "sla_uptime": "99.5%", "subcategory": "fundraising-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Aleph AI\",\n \"sector\": \"AI infra B2B SaaS — Compliance & Monitoring pour secteurs régulés (Banque, Santé, Insurance, Energy)\",\n \"fte\": 65,\n \"hqCountry\": \"France (Paris)\",\n \"foundedYear\": 2022,\n \"arrCurrentEur\": 6800000,\n \"monthlyGrowthPct\": 18,\n \"keyMetrics\": \"ARR €6.8M (× 4.2 vs 12 mois), 28 clients enterprise (BNP Paribas, AXA, Bouygues Énergies, EDF, Sanofi), NRR 132%, gross margin 78%, runway 14 mois.\",\n \"description\": \"Aleph AI fournit une couche d'observabilité et de compliance auto pour les déploiements LLM en entreprise — détection de hallucinations, tracking PII, audit trail RGPD/AI-Act, alerting drift modèles. Cible les industries où le coût d'une erreur AI est élevé (banque, assurance, santé, énergie). Built on top of OpenT...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 59.7, "output_complexity": 11, "median_sources_cited": 25, "median_quantified_claims": 55 }, "complementary_endpoints": [ "pitch-deck-storyline", "bp-narratif", "cap-table-strategist", "earnings-reviewer", "investor-list" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"methodology\",\"marketContext\",\"shortlist\",\"tieredApproach\",\"outreachPlan\",\"redFlagsToAvoid\",\"quickWins\"], \"samples\": {\n \"generatedAt\": \"2026-05-06T23:25:00.000Z\",\n \"caseLabel\": \"Aleph AI — Series B €30M · 16 fonds curatés EU/US sur fit score (médiane 78/100)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/ip-protection-pilot", "slug": "ip-protection-pilot", "tags": [ "risk-mgmt", "compliance", "cyber" ], "title": "IP protection pilot — patent/trademark risk + filing roadmap", "category": "data", "mcp_tool": "ip-protection-pilot", "languages": [ "fr" ], "use_cases": [ "Quarterly risk committee prep", "Pre-audit compliance brief", "Cyber risk board presentation", "Regulatory change impact analysis", "Third-party risk screening" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/ip-protection-pilot/schema", "sla_uptime": "99.5%", "subcategory": "risk-compliance", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Carbios SA\",\n \"sector\": \"Biotechnologie — recyclage enzymatique PET/PEF (polymères plastiques)\",\n \"country\": \"France\",\n \"revenueEur\": 12400000,\n \"fte\": 130\n },\n \"patentPortfolioSummary\": \"Portefeuille de brevets Carbios centré sur (1) l'enzyme LCC-ICCG (Leaf-branch Compost Cutinase — variant ingéniéré) pour la dépolymérisation du PET à haute température, (2) les procédés de prétraitement (extrusion + broyage) améliorant l'accessibilité enzymatique, (3) les procédés de récupération des monomères (TPA + EG) post-dépolymérisation, (4) l'application PEF (polyéthylène furanoate — bio-sourced). Brevets principaux déposés 2018-2024, familles PCT couvrant EP/US/CN/JP. Pilote industriel Clermont-Ferrand opérationnel depuis 2021. Partenariats industriel...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 64.5, "output_complexity": 15, "median_sources_cited": 13, "median_quantified_claims": 65 }, "complementary_endpoints": [ "ai-governance-pilot", "sustainability-reporting-pilot", "privacy-compliance-audit", "contract-risk-scanner", "cyber-risk-auditor" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"patentPortfolio\",\"competitorPatentActivity\",\"infringementSuspects\",\"licensingOpportunities\",\"maintenanceScoring\",\"ftoAnalysis\",\"filingRoadmap\",\"portfolioSummary\",\"methodology\",\"sources\",\"scenarios\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T10:00:00.000Z\",\n \"caseLabel\": \"Carbios SA — Deeptech FR recyclage PET enzymatique · 14 brevets EP/US/FR · 5 concurrents · licensing €2-8M potentiel\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/knowledge-base-auto", "slug": "knowledge-base-auto", "tags": [ "coo-prep", "ops-strategy", "process" ], "title": "Knowledge base auto-build — taxonomy + content gap analysis", "category": "reasoning", "mcp_tool": "knowledge-base-auto", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly operations review prep", "Pre-board ops performance briefing", "Process efficiency analysis", "Capacity planning decision brief", "Vendor performance scorecard" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/knowledge-base-auto/schema", "sla_uptime": "99.5%", "subcategory": "operations-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Klarna\",\n \"sector\": \"Fintech B2C — BNPL / payments\",\n \"fte\": 6500\n },\n \"sources\": [\n {\n \"tool\": \"Slack (200 channels actifs)\",\n \"volumeApprox\": \"1.2M messages/an\",\n \"accessLevel\": \"read\"\n },\n {\n \"tool\": \"Notion (350 pages workspaces)\",\n \"volumeApprox\": \"12k pages dont 3k actives\",\n \"accessLevel\": \"read-write\"\n },\n {\n \"tool\": \"Google Drive\",\n \"volumeApprox\": \"85k documents dont 15k actifs derniers 12 mois\",\n \"accessLevel\": \"read\"\n },\n {\n \"tool\": \"Confluence (Engineering wiki)\",\n \"volumeApprox\": \"8k pages techniques\",\n \"accessLevel\": \"read\"\n },\n {\n \"tool\": \"Salesforce Service Cloud (tickets support)\",\n \"volumeApprox\": \"180k tickets/an\",\n \"accessLevel\"...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 10.1, "output_complexity": 11, "median_sources_cited": 3, "median_quantified_claims": 34 }, "complementary_endpoints": [ "anti-demissions-hr", "process-mining", "onboarding-salaries", "process-mapping", "vendor-management" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"methodology\",\"structureProposal\",\"seedArticles\",\"governanceFramework\",\"technicalStack\",\"quickWins\",\"roiBreakdown\"], \"samples\": {\n \"generatedAt\": \"2026-05-07T02:50:00.000Z\",\n \"caseLabel\": \"Klarna — KB Auto · 6500 FTE · 8 catégories · €420k/an Glean Enterprise\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/kyc-screener", "slug": "kyc-screener", "tags": [ "risk-mgmt", "compliance", "cyber" ], "title": "KYC screening pack — entity risk score + due-diligence checklist", "category": "data", "mcp_tool": "kyc-screener", "languages": [ "fr", "en" ], "use_cases": [ "Quarterly risk committee prep", "Pre-audit compliance brief", "Cyber risk board presentation", "Regulatory change impact analysis", "Third-party risk screening" ], "workflows": [ "risk-compliance-scan" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/kyc-screener/schema", "sla_uptime": "99.5%", "subcategory": "risk-compliance", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"onboardingPacket\": {\n \"requestId\": \"KYC-2026-Q4-1147\",\n \"submittedBy\": \"Sophie Martinez · Compliance Analyst · Banque Privée Genève\",\n \"submittedAt\": \"2026-12-08T14:22:00.000Z\",\n \"accountType\": \"private-banking\",\n \"jurisdiction\": \"Switzerland (Geneva)\"\n },\n \"entities\": [\n {\n \"legalName\": \"Aldebaran Holdings Ltd.\",\n \"entityType\": \"Ltd\",\n \"jurisdiction\": \"British Virgin Islands\",\n \"registrationNumber\": \"BVI-2018-104782\",\n \"incorporationDate\": \"2018-03-15\",\n \"uboNames\": [\n \"Viktor Sokolov\",\n \"Elena Sokolova\",\n \"Marcus Reinhardt\"\n ],\n \"notes\": \"Holding structure top-level. Acquisition vehicle for Geneva real estate portfolio + private equity investments.\"\n },\n {\n \"legalName\": \"Sokolov Family Tru...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 31.7, "output_complexity": 15, "median_sources_cited": 6, "median_quantified_claims": 56 }, "complementary_endpoints": [ "privacy-compliance-audit", "cyber-risk-auditor", "fraud-detector", "ai-governance-pilot", "sustainability-reporting-pilot" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"entityFile\",\"rulesEngineResults\",\"sanctionsHits\",\"pepHits\",\"adverseMediaHits\",\"gapsIdentified\",\"recommendedRiskRating\",\"escalationPacket\",\"quickWins\",\"methodology\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-12-09T11:00:00.000Z\",\n \"caseLabel\": \"KYC Screening — Aldebaran Holdings (BVI) · 8 entités multi-juridictions · UBO Sokolov+Reinhardt · Banque Privée Genève\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/ld-architect", "slug": "ld-architect", "tags": [ "chro-prep", "hr-strategy", "performance" ], "title": "L&D architecture plan — skill gap map + learning path design", "category": "data", "mcp_tool": "ld-architect", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly people review prep", "Pre-board HR dashboard", "Talent retention risk briefing", "Compensation benchmarking", "Culture & engagement audit" ], "workflows": [ "hr-people-strategy" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/ld-architect/schema", "sla_uptime": "99.5%", "subcategory": "people-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Pennylane\",\n \"sector\": \"Fintech / SaaS comptabilité\"\n },\n \"team\": {\n \"size\": 180,\n \"departments\": [\n \"Engineering\",\n \"Product\",\n \"Sales\",\n \"Customer Success\",\n \"Finance\",\n \"Marketing\"\n ],\n \"growthRate\": \"+40% headcount prévu en 12 mois\"\n },\n \"learningNeeds\": [\n {\n \"skill\": \"Leadership & management d'équipe\",\n \"priority\": \"critical\",\n \"currentCoverage\": \"partial\"\n },\n {\n \"skill\": \"Product thinking & discovery\",\n \"priority\": \"critical\",\n \"currentCoverage\": \"none\"\n },\n {\n \"skill\": \"Data analytics & SQL\",\n \"priority\": \"high\",\n \"currentCoverage\": \"partial\"\n },\n {\n \"skill\": \"Communication client & storytelling\",\n \"priority\": \"high\",\n \"...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 10.9, "output_complexity": 8, "median_sources_cited": 5, "median_quantified_claims": 67 }, "complementary_endpoints": [ "enps-auto", "internal-communication", "recruiting-architect", "diversity-inclusion-metrics", "capacity-planning" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"catalog\",\"individualPaths\",\"roiProjection\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-08T10:00:00.000Z\",\n \"caseLabel\": \"Pennylane (180 FTE) — Catalogue 8 formations · 3 parcours individuels · ROI €480k · Payback 7 mois\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/lead-magnets", "slug": "lead-magnets", "tags": [ "cmo-prep", "marketing-strategy", "brand-watch" ], "title": "Lead magnet design — offer stack + conversion funnel map", "category": "data", "mcp_tool": "lead-magnets", "languages": [ "fr" ], "use_cases": [ "Quarterly marketing review prep", "Pre-board brand performance briefing", "Campaign ROI post-mortem", "Competitive positioning refresh", "Investor deck marketing section" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/lead-magnets/schema", "sla_uptime": "99.5%", "subcategory": "marketing-intelligence", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"icp\": {\n \"persona\": \"CFO et Directeur Financier de startups et scale-ups SaaS B2B ayant levé Series A/B, responsables de la trésorerie et des dépenses d'équipe, contraints par la rapidité de croissance et l'absence de process financiers robustes\",\n \"industry\": \"SaaS B2B / Tech startups FR/EU Series A-B\",\n \"companySize\": \"50-500 salariés, croissance >50%/an, équipes distribuées\",\n \"mainPain\": \"Perdre le contrôle des dépenses à mesure que l'équipe grandit : cartes bleues partagées, notes de frais excel manuelles, zéro visibilité temps réel sur la trésorerie, clôtures comptables qui prennent 2 semaines\",\n \"geography\": \"France, Allemagne, Royaume-Uni, Bénélux\"\n },\n \"leadMagnet\": {\n \"topic\": \"Guide complet de gestion de trésorerie pour startups en hypercroissance\",\n ...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 34.6, "output_complexity": 15, "median_sources_cited": 6, "median_quantified_claims": 124 }, "complementary_endpoints": [ "trend-watcher", "competitor-intel", "customer-voice-synth", "market-sizing", "positioning-strategist" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"brief\",\"contentStructure\",\"landingCopy\",\"nurtureSequence\",\"promotionChannels\",\"conversionFunnel\",\"abTests\",\"kpiDashboard\",\"roiProjection\",\"methodology\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T10:00:00.000Z\",\n \"caseLabel\": \"Spendesk — Guide trésorerie startup SaaS B2B FR/EU (2024)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/ma-deal-screener", "slug": "ma-deal-screener", "tags": [ "cso-prep", "strategy", "m-and-a" ], "title": "M&A target screening — 8-15 scored targets + pursue/pass reco", "category": "reasoning", "mcp_tool": "ma-deal-screener", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Annual strategy review preparation", "M&A target screening", "Geographic expansion decision brief", "Board strategy session pre-read", "Competitive scenario planning" ], "workflows": [ "ma-deal-screening" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/ma-deal-screener/schema", "sla_uptime": "99.5%", "subcategory": "corporate-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"acquirer\": {\n \"name\": \"Salesforce\",\n \"sector\": \"B2B SaaS — CRM / Cloud platform\",\n \"arrEur\": 36000000000,\n \"strategicThesis\": \"Acquérir 1-2 AI infra companies de Series B/C ARR €5-50M pour accelerator Agentforce capabilities + customer data platforms enterprise — alignement Gartner Magic Quadrant 2026 leader.\"\n },\n \"criteria\": {\n \"targetGeo\": [\n \"USA\",\n \"EU\",\n \"UK\",\n \"Canada\"\n ],\n \"arrRangeMinEur\": 5000000,\n \"arrRangeMaxEur\": 60000000,\n \"preferredEntryMode\": \"tuck-in\"\n },\n \"focus\": \"Identifier 10-12 targets AI infra B2B avec strong Agentforce synergies — observability AI, compliance, data orchestration. Closing target H2 2026.\"\n}", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 14, "output_complexity": 10, "median_sources_cited": 7, "median_quantified_claims": 10 }, "complementary_endpoints": [ "deal-structurer", "partnership-synergies", "capital-strategy", "growth-path-architect", "strategic-options-analyzer" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"methodology\",\"targets\",\"marketMap\",\"topRecommendations\",\"quickWins\",\"presenterScript\"], \"samples\": {\n \"generatedAt\": \"2026-05-14T10:00:00.000Z\",\n \"caseLabel\": \"Salesforce M&A AI infra screener · 10 targets · 3 pursue-now H2 2026 · McKinsey 6P framework\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/margin-doctor", "slug": "margin-doctor", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "Margin recovery playbook — deal-level leakage + pricing fix", "category": "reasoning", "mcp_tool": "margin-doctor", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/margin-doctor/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Tindall Retail Group\",\n \"sector\": \"Retail multi-enseignes\"\n },\n \"product\": {\n \"name\": \"Tindall Retail Group\",\n \"targetGrossMarginPct\": 75\n },\n \"deals\": [\n {\n \"id\": \"D001\",\n \"name\": \"Agicap\",\n \"arrEur\": 3588,\n \"discountPct\": 25,\n \"cogsEur\": 420,\n \"competitors\": [\n \"Pigment\"\n ],\n \"urgency\": \"high\",\n \"closingDate\": \"2026-05-15\"\n },\n {\n \"id\": \"D002\",\n \"name\": \"Pennylane\",\n \"arrEur\": 3588,\n \"discountPct\": 15,\n \"cogsEur\": 380,\n \"urgency\": \"medium\"\n },\n {\n \"id\": \"D003\",\n \"name\": \"Qonto\",\n \"arrEur\": 11988,\n \"discountPct\": 30,\n \"cogsEur\": 1200,\n \"competitors\": [\n \"Mosaic\",\n \"Pigment\"\n ],\n \"urgency\": \"high...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 15.6, "output_complexity": 9, "median_sources_cited": 5, "median_quantified_claims": 89 }, "complementary_endpoints": [ "battle-cards-live", "discovery-prep", "proposal-generator", "meddic-scoring", "champion-mapping" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"dealAnalysis\",\"totalArrAtRisk\",\"marginRecoveryPotential\",\"playbook\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T09:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub — 8 deals analysés · 3 sous-marge · €28k ARR affecté · €4.2k récupération · 5 scenarios pricing défensif · 8 quick wins\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/margin-doctor-finance", "slug": "margin-doctor-finance", "tags": [ "cfo-prep", "financial-modeling", "treasury" ], "title": "Margin health analysis — gross/net margin leakage + fix roadmap", "category": "data", "mcp_tool": "margin-doctor-finance", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly financial review prep", "Pre-audit financial health check", "Board financial dashboard", "Cash-flow risk assessment", "Investor relations financial narrative" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/margin-doctor-finance/schema", "sla_uptime": "99.5%", "subcategory": "financial-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Alan\",\n \"sector\": \"Insurtech / Santé digitale\",\n \"currentArrEur\": 60000000,\n \"revenueLastYearEur\": 52000000,\n \"teamSize\": 580,\n \"businessModel\": \"saas\"\n },\n \"incomeStatement\": {\n \"grossRevenueEur\": 52000000,\n \"cogsEur\": 16640000,\n \"grossMarginPct\": 68,\n \"researchAndDevEur\": 14560000,\n \"salesAndMarketingEur\": 18720000,\n \"generalAndAdminEur\": 8320000,\n \"ebitdaEur\": -10400000,\n \"ebitdaMarginPct\": -20\n },\n \"costBreakdown\": [\n {\n \"category\": \"Sinistres & Remboursements santé\",\n \"amountEur\": 10000000,\n \"percentOfRevenue\": 19,\n \"trend\": \"growing\",\n \"controllable\": false\n },\n {\n \"category\": \"Infrastructure tech & cloud (AWS)\",\n \"amountEur\": 2600000,\n \"percentOfRevenue\": 5,\n ...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 15.4, "output_complexity": 10, "median_sources_cited": 2, "median_quantified_claims": 104 }, "complementary_endpoints": [ "funding-hunter", "audit-pre-flight", "treasury-optimizer", "working-capital", "tax-optimization" ], "sample_response_excerpt": "{\"_keys\": [\"marginDiagnosis\",\"marginLeaks\",\"totalLeakageEur\",\"initiatives\",\"projectedImpact\",\"benchmarkComparison\",\"pricingOpportunity\",\"kpis\",\"executiveSummary\",\"generatedAt\"], \"samples\": {\n \"totalLeakageEur\": 15362000,\n \"generatedAt\": \"2026-05-14T10:00:00.000Z\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/market-entry-strategist", "slug": "market-entry-strategist", "tags": [ "cso-prep", "strategy", "m-and-a" ], "title": "Market entry strategy — beachhead segment + launch sequence", "category": "reasoning", "mcp_tool": "market-entry-strategist", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Annual strategy review preparation", "M&A target screening", "Geographic expansion decision brief", "Board strategy session pre-read", "Competitive scenario planning" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/market-entry-strategist/schema", "sla_uptime": "99.5%", "subcategory": "corporate-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"OpenAI\",\n \"sector\": \"AI / Foundation Models / Consumer + Enterprise SaaS\",\n \"fte\": 2800,\n \"homeMarket\": \"USA (San Francisco HQ)\",\n \"revenueEur\": 8500000000,\n \"productDescription\": \"ChatGPT consumer (free + Plus + Pro), API platform B2B, Enterprise + Education + Government tiers, Sora video gen, voice models. Distribution mondiale via web + apps mobile + integrations partenaires (Microsoft, Apple Intelligence).\"\n },\n \"targetMarket\": {\n \"country\": \"Inde\",\n \"rationale\": \"1.4Md utilisateurs, 800M smartphone users, 2ème marché mondial Internet, talent tech world-class (4M+ developpeurs), partenariats déjà initiés Reliance + TCS + Infosys. AI-first market behavior: ChatGPT déjà top-3 app downloaded India 2025.\",\n \"preferredTimeline\": \"12...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 18.9, "output_complexity": 13, "median_sources_cited": 6, "median_quantified_claims": 40 }, "complementary_endpoints": [ "partnership-synergies", "deal-structurer", "capital-strategy", "growth-path-architect", "strategic-options-analyzer" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"methodology\",\"marketAnalysis\",\"porterFiveForces\",\"entryModes\",\"recommendedMode\",\"goToMarketRoadmap\",\"riskRegister\",\"financialScenarios\",\"quickWins\"], \"samples\": {\n \"generatedAt\": \"2026-05-07T00:10:00.000Z\",\n \"caseLabel\": \"OpenAI → Inde 2026 · 1.4Md utilisateurs · JV Reliance recommandée + complément wholly-owned-subsidiary B2B\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/market-sizing", "slug": "market-sizing", "tags": [ "cmo-prep", "marketing-strategy", "brand-watch" ], "title": "Market sizing model — TAM/SAM/SOM + growth rate benchmarks", "category": "data", "mcp_tool": "market-sizing", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly marketing review prep", "Pre-board brand performance briefing", "Campaign ROI post-mortem", "Competitive positioning refresh", "Investor deck marketing section" ], "workflows": [ "board-quarterly" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/market-sizing/schema", "sla_uptime": "99.5%", "subcategory": "marketing-intelligence", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"product\": {\n \"name\": \"Pulsar Energy\",\n \"category\": \"SaaS IA décisionnelle C-suite\",\n \"valueProposition\": \"Plateforme modulaire de 115 expertises IA spécialisées (CRO, CFO, CMO, CSO, CHRO, Risk) livrant des rapports C-suite best-in-class en 90-180 secondes, à 10% du coût d'un cabinet de conseil traditionnel.\"\n },\n \"target\": {\n \"geography\": \"Europe (France, Allemagne, Espagne, Italie, Pays-Bas, Benelux)\",\n \"segments\": [\n \"PME 50-500 salariés B2B SaaS\",\n \"Scale-ups Série A-C\",\n \"ETI industrielles et de services\",\n \"Groupes CAC 40/SBF 120 pour use-cases C-suite ponctuels\"\n ],\n \"customerType\": \"b2b\"\n },\n \"approach\": [\n \"top-down\",\n \"bottom-up\"\n ],\n \"competitorComps\": [\n \"McKinsey Lilli\",\n \"BCG BrightAI\",\n \"Glean\",\n \"Notion...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 20, "output_complexity": 19, "median_sources_cited": 9, "median_quantified_claims": 95 }, "complementary_endpoints": [ "trend-watcher", "competitor-intel", "customer-voice-synth", "positioning-strategist", "pricing-strategist" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"marketTiers\",\"cagrEstimates\",\"competitorBenchmarks\",\"keyGrowthDrivers\",\"sensitivities\",\"investorNarrative\",\"sources\",\"tam_top_down\",\"sam_bottom_up\",\"som_capture_rate\",\"growth_drivers\",\"sensitivity_analysis\",\"scenarios\",\"tam_sam_som_funnel\",\"growth_decomposition\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T11:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub — TAM/SAM/SOM IA décisionnelle C-suite Europe · TAM €48Md · SOM €280M Year-3\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/marketing-roi-dashboard", "slug": "marketing-roi-dashboard", "tags": [ "cmo-prep", "marketing-strategy", "brand-watch" ], "title": "Marketing ROI dashboard — spend attribution + ROAS by channel", "category": "data", "mcp_tool": "marketing-roi-dashboard", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "zh-CN" ], "use_cases": [ "Quarterly marketing review prep", "Pre-board brand performance briefing", "Campaign ROI post-mortem", "Competitive positioning refresh", "Investor deck marketing section" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/marketing-roi-dashboard/schema", "sla_uptime": "99.5%", "subcategory": "marketing-intelligence", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"companyName\": \"Verdant Cosmetics\",\n \"periodLabel\": \"H1 2026\",\n \"totalMarketingBudgetEur\": 60000,\n \"totalRevenueAttribEur\": 192000,\n \"channelData\": [\n {\n \"channel\": \"events\",\n \"spendEur\": 18000,\n \"mql\": 28,\n \"sql\": 12,\n \"closedWon\": 5,\n \"revenueAttribEur\": 72000,\n \"avgCycledays\": 45\n },\n {\n \"channel\": \"outbound\",\n \"spendEur\": 12000,\n \"mql\": 22,\n \"sql\": 10,\n \"closedWon\": 4,\n \"revenueAttribEur\": 58000,\n \"avgCycledays\": 52\n },\n {\n \"channel\": \"content\",\n \"spendEur\": 9000,\n \"mql\": 18,\n \"sql\": 7,\n \"closedWon\": 2,\n \"revenueAttribEur\": 28000,\n \"avgCycledays\": 67\n },\n {\n \"channel\": \"paid-social\",\n \"spendEur\": 15000,\n \"mql\": 35,\n \"sql\": 8,\n ...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 14.1, "output_complexity": 10, "median_sources_cited": 7, "median_quantified_claims": 58 }, "complementary_endpoints": [ "trend-watcher", "competitor-intel", "customer-voice-synth", "market-sizing", "positioning-strategist" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"overallMetrics\",\"channelPerformance\",\"attributionInsights\",\"budgetOptimization\",\"quickWins\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T11:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub — H1 2026 · 5 canaux · ROI 3.2× · Attribution W-shaped · CAC/LTV par canal · Funnel MQL→SQL→Won\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/meddic-scoring", "slug": "meddic-scoring", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "MEDDIC opportunity scorecard — gap analysis + action items", "category": "reasoning", "mcp_tool": "meddic-scoring", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/meddic-scoring/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Ironclad Security\",\n \"sector\": \"Cybersécurité B2B\"\n },\n \"product\": {\n \"name\": \"Ironclad Security\",\n \"avgDealValueEur\": 12000\n },\n \"targetWinRate\": 65,\n \"salesCycle\": {\n \"targetDays\": 60,\n \"avgActualDays\": 78\n },\n \"deals\": [\n {\n \"id\": \"D001\",\n \"accountName\": \"Airbus\",\n \"dealValueEur\": 48000,\n \"stage\": \"negotiation\",\n \"closeTargetDays\": 18,\n \"competitorPresent\": \"Tableau + Palantir\",\n \"meddic\": [\n {\n \"dimension\": \"metrics\",\n \"score\": 8,\n \"evidence\": \"ROI calculé €2.1M/an — réduction 40% temps reporting CFO\",\n \"gaps\": [],\n \"nextActions\": [\n \"Finaliser ROI doc avec DSI\"\n ]\n },\n {\n \"dimension\": \"economic-buyer...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 18.3, "output_complexity": 18, "median_sources_cited": 3, "median_quantified_claims": 10 }, "complementary_endpoints": [ "battle-cards-live", "discovery-prep", "proposal-generator", "champion-mapping", "pricing-in-deal" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"pipelineHealth\",\"dealScorecards\",\"weakestDimension\",\"strongestDimension\",\"coachingPriorities\",\"sources\",\"metricsScore\",\"economicBuyerScore\",\"decisionCriteriaScore\",\"decisionProcessScore\",\"identifyPainScore\",\"championScore\",\"overallScore\",\"nextActions\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T11:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub — Pipeline 8 deals · €303.6k · MEDDIC moyen 65/100 · 3 deals at-risk\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/onboarding-salaries", "slug": "onboarding-salaries", "tags": [ "coo-prep", "ops-strategy", "process" ], "title": "Onboarding & salary benchmarking — comp bands + ramp plan", "category": "reasoning", "mcp_tool": "onboarding-salaries", "languages": [ "fr" ], "use_cases": [ "Quarterly operations review prep", "Pre-board ops performance briefing", "Process efficiency analysis", "Capacity planning decision brief", "Vendor performance scorecard" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/onboarding-salaries/schema", "sla_uptime": "99.5%", "subcategory": "operations-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Pennylane\",\n \"sector\": \"Fintech SaaS B2B — Comptabilité & Finance PME\",\n \"fte\": 250,\n \"fundingStage\": \"Series C (€57M, 2022)\",\n \"location\": \"Paris, France (hybrid)\",\n \"toolStack\": [\n \"Slack\",\n \"Notion\",\n \"Linear\",\n \"GitHub\",\n \"Figma\",\n \"HubSpot\",\n \"Salesforce\",\n \"Pennylane (produit interne)\",\n \"Looker\",\n \"dbt\",\n \"Datadog\",\n \"AWS\",\n \"1Password\",\n \"Okta\",\n \"Google Workspace\",\n \"Loom\",\n \"Dovetail\"\n ],\n \"culture\": \"Startup-to-scale culture : autonomie forte, ownership individual, feedback direct, documentation-first, async-first, OKRs trimestriels. Stack data-driven, engineering-led, forte culture product.\"\n },\n \"roles\": [\n {\n \"roleId\": \"SBE-01\",\n...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 79.8, "output_complexity": 9, "median_sources_cited": 4, "median_quantified_claims": 95 }, "complementary_endpoints": [ "anti-demissions-hr", "knowledge-base-auto", "process-mining", "process-mapping", "vendor-management" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"methodology\",\"roles\",\"feedbackLoopCalendar\",\"globalPitfalls\",\"quickWins\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T08:00:00.000Z\",\n \"caseLabel\": \"Pennylane (FR fintech SaaS, ~250 FTE) — 5 parcours 30/60/90 jours · Engineering / Sales / CS / Design / People Ops\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/operational-dashboards", "slug": "operational-dashboards", "tags": [ "coo-prep", "ops-strategy", "process" ], "title": "Operational dashboard design — KPI hierarchy + alerting logic", "category": "reasoning", "mcp_tool": "operational-dashboards", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly operations review prep", "Pre-board ops performance briefing", "Process efficiency analysis", "Capacity planning decision brief", "Vendor performance scorecard" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/operational-dashboards/schema", "sla_uptime": "99.5%", "subcategory": "operations-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Qonto\",\n \"sector\": \"Fintech / Néobanque B2B\",\n \"website\": \"qonto.com\",\n \"employeeCount\": 1400,\n \"currentArrEur\": 200000000\n },\n \"departments\": [\n {\n \"name\": \"Finance & Trésorerie\",\n \"headcount\": 45,\n \"currentTools\": [\n \"Excel\",\n \"Pigment\",\n \"Stripe Dashboard\"\n ],\n \"currentReportingFrequency\": \"hebdomadaire\",\n \"painPoints\": [\n \"Consolidation mensuelle 3 jours de travail manuel\",\n \"Pas de vue temps réel sur le burn rate\",\n \"Alertes cash runway manuelles\"\n ]\n },\n {\n \"name\": \"Product & Engineering\",\n \"headcount\": 380,\n \"currentTools\": [\n \"Jira\",\n \"Datadog\",\n \"Grafana partiel\"\n ],\n \"currentReportingFrequency\": \"hebdoma...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 11.2, "output_complexity": 9, "median_sources_cited": 9, "median_quantified_claims": 59 }, "complementary_endpoints": [ "anti-demissions-hr", "knowledge-base-auto", "process-mining", "onboarding-salaries", "process-mapping" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"dashboardBlueprint\",\"implementationPlan\",\"toolRecommendation\",\"scenarios\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2025-04-08T14:00:00Z\",\n \"caseLabel\": \"Centralisation des KPIs opérationnels pour pilotage en temps réel chez Qonto.\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/outbound-sequencer", "slug": "outbound-sequencer", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "Outbound sequence builder — 5-step cadence + persona-tuned copy", "category": "reasoning", "mcp_tool": "outbound-sequencer", "languages": [ "fr", "ar", "de", "en", "es", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/outbound-sequencer/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"offer\": {\n \"name\": \"Cobalt Devtools\",\n \"valueProposition\": \"Suite de 9 AI executives (CFO, CRO, CSO, CMO, COO, CHRO, Risk, Fundraising, Sustainability) pour accélérer les décisions C-suite en 15 minutes. BYOK, €999/mo All-Access.\",\n \"mainBenefit\": \"Reporting board en 15 min vs 1-3 jours · Décisions stratégiques multi-angles en 4h vs 6 semaines consultant · Marge 100% BYOK\"\n },\n \"icp\": {\n \"sector\": \"B2B SaaS — Logiciels de gestion / ERP / CRM / HR tech\",\n \"companySize\": \"50-500 employés, ARR €2-50M, Série A-C\",\n \"geography\": \"France + DACH + Benelux\",\n \"personas\": [\n \"cfo\",\n \"cro\",\n \"ceo\"\n ]\n },\n \"targetAccounts\": [\n \"Pennylane\",\n \"Spendesk\",\n \"Payfit\",\n \"Qonto\",\n \"Alan\"\n ],\n \"excludedAngles\": \"Pas d'angle 'réduire vos coût...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 19.5, "output_complexity": 11, "median_sources_cited": 6, "median_quantified_claims": 41 }, "complementary_endpoints": [ "battle-cards-live", "discovery-prep", "proposal-generator", "meddic-scoring", "champion-mapping" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"sequences\",\"abTestVariants\",\"bestPractices\",\"toolsRecommended\",\"kpiBenchmarks\",\"doNotDo\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T09:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub → CFO + CRO B2B SaaS France — Séquence 6 touches multi-canal · Taux réponse +180%\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/paid-ads-optimizer", "slug": "paid-ads-optimizer", "tags": [ "cmo-prep", "marketing-strategy", "brand-watch" ], "title": "Paid ads optimization — audience segments + bid strategy playbook", "category": "data", "mcp_tool": "paid-ads-optimizer", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly marketing review prep", "Pre-board brand performance briefing", "Campaign ROI post-mortem", "Competitive positioning refresh", "Investor deck marketing section" ], "workflows": [ "launch-readiness" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/paid-ads-optimizer/schema", "sla_uptime": "99.5%", "subcategory": "marketing-intelligence", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Spendesk\",\n \"sector\": \"Fintech B2B / SaaS\"\n },\n \"campaigns\": [\n {\n \"platform\": \"google\",\n \"monthlyBudgetEur\": 28000,\n \"currentRoas\": 2.1,\n \"objective\": \"Génération de leads SQLs\"\n },\n {\n \"platform\": \"linkedin\",\n \"monthlyBudgetEur\": 12000,\n \"currentRoas\": 1.4,\n \"objective\": \"Lead gen DAF/CFO PME-ETI\"\n },\n {\n \"platform\": \"meta\",\n \"monthlyBudgetEur\": 5000,\n \"currentRoas\": 0.9,\n \"objective\": \"Brand awareness & retargeting\"\n }\n ],\n \"totalMonthlyBudgetEur\": 45000,\n \"targetMetric\": \"cac\",\n \"audienceDescription\": \"DAF, CFO, Responsables Achats — PME/ETI 50-500 salariés France, Allemagne, Espagne. Deal moyen €18k, cycle 3 mois, SQL target 70/mo.\"\n}", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 16.2, "output_complexity": 9, "median_sources_cited": 10, "median_quantified_claims": 75 }, "complementary_endpoints": [ "positioning-strategist", "content-engine", "abm-architect", "trend-watcher", "competitor-intel" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"auditByCampaign\",\"budgetReallocation\",\"audienceSegments\",\"scenarios\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2025-04-09T12:34:56.789Z\",\n \"caseLabel\": \"Spendesk (Google + LinkedIn + Meta + TikTok + Twitter · €45k/mo) — €9k/mo gaspillés identifiés · ROAS LinkedIn ×2.4 · 6 campagnes × 4 segments analysés\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/positioning-strategist", "slug": "positioning-strategist", "tags": [ "cmo-prep", "marketing-strategy", "brand-watch" ], "title": "Positioning strategy — category POV + differentiated messaging", "category": "data", "mcp_tool": "positioning-strategist", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly marketing review prep", "Pre-board brand performance briefing", "Campaign ROI post-mortem", "Competitive positioning refresh", "Investor deck marketing section" ], "workflows": [ "launch-readiness" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/positioning-strategist/schema", "sla_uptime": "99.5%", "subcategory": "marketing-intelligence", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Halcyon Fintech\",\n \"sector\": \"FinTech paiements\"\n },\n \"product\": {\n \"name\": \"Halcyon Fintech\",\n \"currentTagline\": \"L'intelligence artificielle au service de vos décisions\",\n \"mainFeatures\": [\n \"115 expertises IA spécialisées par rôle C-suite\",\n \"Génération de rapports board-ready en 2-5 minutes\",\n \"Architecture BYOK (Bring Your Own Key) — 100% données client isolées\",\n \"Personas IA dédiés : Marc (CRO), Manue (CMO), Pierre (CFO), Risquita (Risk)\",\n \"Démos interactives par expertise avec vraies données\",\n \"Intégrations Salesforce/HubSpot/SAP (roadmap Q3)\"\n ]\n },\n \"market\": {\n \"targetSegment\": \"Scale-ups B2B Série A-C (€1-50M ARR) avec équipes C-suite de 2-10 personnes\",\n \"geography\": \"France d'abord, Euro...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 15.4, "output_complexity": 17, "median_sources_cited": 9, "median_quantified_claims": 15 }, "complementary_endpoints": [ "content-engine", "paid-ads-optimizer", "abm-architect", "trend-watcher", "competitor-intel" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"positioningStatement\",\"differentiationAngle\",\"messagingPillars\",\"competitorPositioningMap\",\"battlePlan\",\"doNotSay\",\"sources\",\"competitive_alternatives\",\"unique_attributes\",\"primary_audience\",\"value_themes\",\"positioning_2x2\",\"scenarios\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T11:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub — Positionnement vs Tableau/Pigment/Looker/McKinsey — Angle + 5 piliers + battle plan\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/press-influencer", "slug": "press-influencer", "tags": [ "cmo-prep", "marketing-strategy", "brand-watch" ], "title": "Press & influencer brief — target list + pitch angle + KPIs", "category": "data", "mcp_tool": "press-influencer", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly marketing review prep", "Pre-board brand performance briefing", "Campaign ROI post-mortem", "Competitive positioning refresh", "Investor deck marketing section" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/press-influencer/schema", "sla_uptime": "99.5%", "subcategory": "marketing-intelligence", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Agicap\",\n \"sector\": \"Fintech / SaaS trésorerie\",\n \"website\": \"agicap.com\",\n \"foundedYear\": 2016,\n \"headquartersCity\": \"Lyon\",\n \"employeeCount\": 650,\n \"currentArrEur\": 35000000\n },\n \"announcement\": {\n \"type\": \"fundraising\",\n \"headline\": \"Agicap lève €70M en Série C pour devenir le leader européen du cash management PME\",\n \"keyFacts\": [\n \"Tour Série C de €70M mené par General Atlantic\",\n \"Participation de Greenoaks Capital et investisseurs existants (BlackFin, Speedinvest)\",\n \"15 000 clients PME dans 9 pays européens\",\n \"Croissance ARR +180% sur 12 derniers mois\",\n \"Expansion prévue : UK, Allemagne, Benelux — 200 recrutements en 2026\"\n ],\n \"embargo\": \"2026-05-20T08:00:00.000Z\",\n \"targetDate\": \"202...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 15.7, "output_complexity": 8, "median_sources_cited": 8, "median_quantified_claims": 49 }, "complementary_endpoints": [ "trend-watcher", "competitor-intel", "customer-voice-synth", "market-sizing", "positioning-strategist" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"pressRelease\",\"mediaList\",\"outreachPlan\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-19T10:00:00Z\",\n \"caseLabel\": \"Agicap lève 70M€ Série C — Kit presse complet · 12 contacts médias Tier-1/2/3 · Plan outreach 14j jour par jour · 50M+ impressions cibles\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/pricing-in-deal", "slug": "pricing-in-deal", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "In-deal pricing strategy — discount floor + anchor tactics", "category": "reasoning", "mcp_tool": "pricing-in-deal", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/pricing-in-deal/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Agicap\",\n \"sector\": \"Fintech / SaaS trésorerie\",\n \"productName\": \"Agicap Cash Management Platform\",\n \"pricingModel\": \"per-seat\",\n \"averageContractValueEur\": 22000,\n \"listPriceEur\": 38000,\n \"avgDiscountPct\": 18\n },\n \"deal\": {\n \"prospectName\": \"Groupe Rocher\",\n \"prospectSector\": \"Cosmétique / Distribution\",\n \"prospectSize\": \"enterprise\",\n \"dealSizeEur\": 38000,\n \"currentStage\": \"negotiation\",\n \"competitorsMentioned\": [\n \"Kyriba\",\n \"Cegid TreasuryLine\"\n ],\n \"decisionMakerTitle\": \"Directeur Administratif et Financier\",\n \"budgetConstraintMentioned\": true,\n \"contractLengthMonths\": 24\n },\n \"negotiationContext\": {\n \"firstProposalSentEur\": 38000,\n \"counterOfferEur\": 26000,\n \"mainObjections\": [\n ...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 24.4, "output_complexity": 10, "median_sources_cited": 24, "median_quantified_claims": 63 }, "complementary_endpoints": [ "battle-cards-live", "discovery-prep", "proposal-generator", "meddic-scoring", "champion-mapping" ], "sample_response_excerpt": "{\"_keys\": [\"dealAssessment\",\"pricingScenarios\",\"recommendedScenario\",\"objectionHandlers\",\"negotiationTactics\",\"roiCalculator\",\"closingPlan\",\"kpis\",\"sources\",\"generatedAt\"], \"samples\": {\n \"recommendedScenario\": \"Scénario Équilibré\",\n \"generatedAt\": \"2026-05-09T08:00:00.000Z\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/pricing-strategist", "slug": "pricing-strategist", "tags": [ "cmo-prep", "marketing-strategy", "brand-watch" ], "title": "Pricing strategy analysis — tier architecture + WTP benchmarks", "category": "data", "mcp_tool": "pricing-strategist", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly marketing review prep", "Pre-board brand performance briefing", "Campaign ROI post-mortem", "Competitive positioning refresh", "Investor deck marketing section" ], "workflows": [ "sales-prep-quarterly" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/pricing-strategist/schema", "sla_uptime": "99.5%", "subcategory": "marketing-intelligence", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Vercel\",\n \"sector\": \"B2B SaaS — Frontend cloud + AI infra developer platform\",\n \"arrEur\": 240000000,\n \"currentArpu\": 4800,\n \"customerCount\": 50000\n },\n \"currentPricing\": {\n \"approach\": \"tier-based\",\n \"currentTiers\": [\n \"Hobby (free)\",\n \"Pro $20/seat\",\n \"Enterprise\"\n ],\n \"painPoints\": \"Pro tier saturé sur compute usage — top 30% Pro customers consomment 80% du compute. Enterprise tier opaque (custom pricing) freine self-serve upgrade. Pas de team-tier intermédiaire entre Pro $20 et Enterprise > $5k/mo. AI/edge functions usage explosif Q1 2026 mais pas pricing dédié.\"\n },\n \"competitors\": [\n {\n \"name\": \"Netlify\",\n \"pricingApproach\": \"tier-based\",\n \"anchorPriceEur\": 19,\n \"notes\": \"Free + Pro $19 ...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 16.7, "output_complexity": 11, "median_sources_cited": 15, "median_quantified_claims": 43 }, "complementary_endpoints": [ "competitor-intel", "trend-watcher", "customer-voice-synth", "market-sizing", "positioning-strategist" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"methodology\",\"marketContext\",\"scenarios\",\"recommendedScenario\",\"migrationPlan\",\"risks\",\"quickWins\"], \"samples\": {\n \"generatedAt\": \"2026-05-07T05:50:00.000Z\",\n \"caseLabel\": \"Vercel Pricing Strategy 2026 — Hybrid (tier+usage) recommandé · ARPU +28% target · 4 tiers + AI usage metering\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/privacy-compliance-audit", "slug": "privacy-compliance-audit", "tags": [ "risk-mgmt", "compliance", "cyber" ], "title": "Privacy compliance audit — GDPR gap analysis + remediation plan", "category": "data", "mcp_tool": "privacy-compliance-audit", "languages": [ "fr" ], "use_cases": [ "Quarterly risk committee prep", "Pre-audit compliance brief", "Cyber risk board presentation", "Regulatory change impact analysis", "Third-party risk screening" ], "workflows": [ "risk-compliance-scan" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/privacy-compliance-audit/schema", "sla_uptime": "99.5%", "subcategory": "risk-compliance", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Lemlist SAS\",\n \"sector\": \"SaaS outreach B2B (cold email + LinkedIn automation + multichannel sales engagement)\",\n \"fte\": 120,\n \"revenueEur\": 18000000,\n \"country\": \"France\",\n \"jurisdictions\": [\n \"FR-EU\",\n \"UK\",\n \"US-CA\",\n \"BR\"\n ],\n \"hasDpo\": false,\n \"dpaNotifications\": \"Aucune notification APD à ce jour. Pas de DPO nommé formellement (obligation RGPD Art. 37 à évaluer). Plainte reçue de l'ICO UK concernant les pratiques de cold email (2024, en cours).\"\n },\n \"processingActivities\": [\n {\n \"name\": \"Collecte et stockage de données de contact prospects B2B\",\n \"description\": \"Import de listes CSV de prospects (nom, email pro, titre de poste, entreprise, LinkedIn URL) par les clients SaaS pour lancer des sé...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 97.9, "output_complexity": 15, "median_sources_cited": 13, "median_quantified_claims": 83 }, "complementary_endpoints": [ "cyber-risk-auditor", "fraud-detector", "kyc-screener", "ai-governance-pilot", "sustainability-reporting-pilot" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"processingRegister\",\"dpiaAssessments\",\"frameworkGapMatrix\",\"top15Gaps\",\"remediationPlan\",\"cookiesConsentAudit\",\"dsarWorkflow\",\"crossBorderTransfers\",\"sanctionsExposure\",\"sources\",\"presenterScript\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T10:00:00.000Z\",\n \"caseLabel\": \"Lemlist SAS — SaaS outreach B2B, transferts UE→US Schrems II, RGPD + CCPA + LGPD + UK GDPR\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/process-mapping", "slug": "process-mapping", "tags": [ "coo-prep", "ops-strategy", "process" ], "title": "Process mapping pack — BPMN diagram + bottleneck identification", "category": "reasoning", "mcp_tool": "process-mapping", "languages": [ "fr" ], "use_cases": [ "Quarterly operations review prep", "Pre-board ops performance briefing", "Process efficiency analysis", "Capacity planning decision brief", "Vendor performance scorecard" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/process-mapping/schema", "sla_uptime": "99.5%", "subcategory": "operations-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Decathlon France\",\n \"sector\": \"Retail sportswear / multi-sport big-box\",\n \"fte\": 24000,\n \"locations\": 1700,\n \"toolStack\": [\n \"SAP S/4HANA\",\n \"Salesforce Service Cloud\",\n \"Microsoft 365\",\n \"PowerBI\",\n \"Adyen\",\n \"Klaviyo\",\n \"Decathlon ID (in-house CRM)\",\n \"Zendesk (pilote)\",\n \"Mirakl (marketplace)\",\n \"Lengow (feeds)\"\n ]\n },\n \"processes\": [\n {\n \"processId\": \"RTN-01\",\n \"processName\": \"Retour produit en magasin (avec ou sans ticket)\",\n \"description\": \"Un client se présente en caisse retours pour rendre un produit acheté online ou en magasin. L'équipe vérifie l'achat, contrôle l'état du produit, choisit reprise / échange / avoir, mouvemente le stock et déclenche le remboursement....", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 30.8, "output_complexity": 9, "median_sources_cited": 7, "median_quantified_claims": 53 }, "complementary_endpoints": [ "anti-demissions-hr", "knowledge-base-auto", "process-mining", "onboarding-salaries", "vendor-management" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"methodology\",\"processes\",\"globalRecommendations\",\"quickWins\",\"presenterScript\"], \"samples\": {\n \"generatedAt\": \"2026-05-06T22:00:00.000Z\",\n \"caseLabel\": \"Decathlon France — 3 processes cartographiés (Retour magasin · OOS linéaire · SAV produit défectueux)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/process-mining", "slug": "process-mining", "tags": [ "coo-prep", "ops-strategy", "process" ], "title": "Process mining analysis — deviation patterns + efficiency wins", "category": "reasoning", "mcp_tool": "process-mining", "languages": [ "fr", "ar", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly operations review prep", "Pre-board ops performance briefing", "Process efficiency analysis", "Capacity planning decision brief", "Vendor performance scorecard" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/process-mining/schema", "sla_uptime": "99.5%", "subcategory": "operations-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"companyName\": \"Granite Manufacturing\",\n \"employeeCount\": 22,\n \"topProcesses\": [\n {\n \"name\": \"Onboarding client\",\n \"department\": \"Customer Success\",\n \"estimatedDurationDays\": 21,\n \"stepCount\": 18,\n \"involvedRoles\": [\n \"CS Manager\",\n \"CTO\",\n \"CEO\"\n ],\n \"currentPain\": \"21 jours pour onboarder un client — trop long, le client perd de l'intérêt et l'AE doit gérer les relances CEO. 6 étapes manuelles (configuration BYOK, kick-off, formation, go-live check, QBR).\"\n },\n {\n \"name\": \"Cycle de clôture mensuel\",\n \"department\": \"Finance\",\n \"estimatedDurationDays\": 8,\n \"stepCount\": 24,\n \"involvedRoles\": [\n \"CEO\",\n \"Finance Controller (à recruter)\",\n \"Comptable externe\"\n ],\n ...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 22.7, "output_complexity": 15, "median_sources_cited": 20, "median_quantified_claims": 57 }, "complementary_endpoints": [ "anti-demissions-hr", "knowledge-base-auto", "onboarding-salaries", "process-mapping", "vendor-management" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"processScorecard\",\"topBottlenecks\",\"totalWasteEurPerYear\",\"optimizationRoadmap\",\"automationOpportunities\",\"sources\",\"process_maps\",\"bottleneck_analysis\",\"savings_quantification\",\"process_map\",\"throughput_chart\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T11:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub — 4 process · €285k gaspillage identifié · 8 bottlenecks · 5 automations\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/procurement-spend-optim", "slug": "procurement-spend-optim", "tags": [ "cfo-prep", "financial-modeling", "treasury" ], "title": "Procurement spend optimizer — category savings + contract levers", "category": "data", "mcp_tool": "procurement-spend-optim", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly financial review prep", "Pre-audit financial health check", "Board financial dashboard", "Cash-flow risk assessment", "Investor relations financial narrative" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/procurement-spend-optim/schema", "sla_uptime": "99.5%", "subcategory": "financial-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Aircall\",\n \"sector\": \"B2B SaaS — Communication / Voice infrastructure\",\n \"fte\": 700,\n \"revenueEur\": 220000000,\n \"totalAnnualSpendEur\": 64000000\n },\n \"spendCategories\": [\n {\n \"category\": \"Cloud infrastructure (AWS + Twilio + telcos)\",\n \"annualSpendEur\": 22000000,\n \"supplierCount\": 18,\n \"description\": \"Twilio voice infrastructure dominant + AWS compute/storage\"\n },\n {\n \"category\": \"SaaS tools (sales + marketing + ops + dev)\",\n \"annualSpendEur\": 8500000,\n \"supplierCount\": 65,\n \"description\": \"Salesforce, HubSpot, Notion, Linear, Datadog, Segment, etc.\"\n },\n {\n \"category\": \"Marketing & Advertising (paid acquisition)\",\n \"annualSpendEur\": 12500000,\n \"supplierCount\": 25,\n \"des...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 17.9, "output_complexity": 11, "median_sources_cited": 7, "median_quantified_claims": 34 }, "complementary_endpoints": [ "margin-doctor-finance", "funding-hunter", "audit-pre-flight", "treasury-optimizer", "working-capital" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"methodology\",\"spendOverview\",\"kraljicMatrix\",\"topSuppliers\",\"topLevers\",\"governanceFramework\",\"quickWins\"], \"samples\": {\n \"generatedAt\": \"2026-05-07T01:30:00.000Z\",\n \"caseLabel\": \"Aircall — spend €64M optimization · 20 leviers · -€7.2M opex/an target (-11.3%)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/proposal-generator", "slug": "proposal-generator", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "Proposal auto-generator — executive summary + ROI calculator", "category": "reasoning", "mcp_tool": "proposal-generator", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/proposal-generator/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Eastgate Real Estate\",\n \"sector\": \"Immobilier commercial\"\n },\n \"prospect\": {\n \"name\": \"Spendesk\",\n \"sector\": \"SaaS gestion des dépenses professionnelles\",\n \"contactName\": \"Johanna Dupont\",\n \"contactTitle\": \"Head of Finance\"\n },\n \"offer\": {\n \"productName\": \"Eastgate Real Estate — Pack Finance CFO\",\n \"pricing\": \"€299/mois (accès illimité Marc + Élodie CFO team)\",\n \"mainBenefits\": [\n \"Prévisions cash-flow 18 mois avec précision 94%\",\n \"Clôture mensuelle automatisée — 5 jours → 2 jours\",\n \"Alertes churn et signaux de renouvellement 60 jours avant\",\n \"Dashboard KPI CFO en temps réel\"\n ],\n \"useCase\": \"Spendesk a 1200 clients PME en gestion des dépenses. L'équipe Finance interne (8 personnes) passe 40% de son t...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 12.8, "output_complexity": 8, "median_sources_cited": 7, "median_quantified_claims": 75 }, "complementary_endpoints": [ "battle-cards-live", "discovery-prep", "meddic-scoring", "champion-mapping", "pricing-in-deal" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"sections\",\"roiSummary\",\"nextSteps\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T08:00:00.000Z\",\n \"caseLabel\": \"Spendesk × Gapup Hub — Proposition 8 sections · ROI 3Y €1.8M · Payback 4 mois · 5 next steps actionnables\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/qa-pre-flight", "slug": "qa-pre-flight", "tags": [ "fundraising", "vc-prep", "pitch" ], "title": "QA pre-flight pack — release risk checklist + regression map", "category": "reasoning", "mcp_tool": "qa-pre-flight", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Fundraising round preparation", "VC investor shortlist screening", "Cap table dilution modeling", "Term sheet negotiation prep", "Post-money valuation scenario analysis" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/qa-pre-flight/schema", "sla_uptime": "99.5%", "subcategory": "fundraising-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Agicap\",\n \"sector\": \"Fintech / Cash management SaaS\",\n \"currentArrEur\": 28000000,\n \"teamSize\": 350,\n \"founded\": 2016\n },\n \"round\": {\n \"stage\": \"serie-c\",\n \"targetEur\": 70000000,\n \"leadInvestorProfile\": \"Fonds Tier-1 EU (Balderton, Accel, Index) ou cross-over US (GV, Bessemer, General Catalyst)\"\n },\n \"founderContext\": {\n \"pitch\": \"Agicap est le leader européen du cash management pour les PME. Nous remplaçons les tablettes Excel et les prévisions de trésorerie manuelles par une plateforme IA temps réel connectée à 350+ banques EU. €28M ARR, 7 000 clients PME, 15 pays.\",\n \"knownWeaknesses\": [\n \"Churn annuel à 18% — supérieur à la médiane SaaS B2B (12%)\",\n \"ARPU moyen €4 000/an faible par rapport au TAM adressable\",\n ...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 23.8, "output_complexity": 8, "median_sources_cited": 4, "median_quantified_claims": 50 }, "complementary_endpoints": [ "pitch-deck-storyline", "bp-narratif", "cap-table-strategist", "earnings-reviewer", "investor-list" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"qaBank\",\"trapQuestions\",\"preparationPlan\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2025-06-12T10:00:00Z\",\n \"caseLabel\": \"Agicap Série C €70M — 30 Q&A stratégiques · 8 questions pièges · Plan de préparation 21 jours\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/qbr-auto", "slug": "qbr-auto", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "QBR auto-pack — health score + risk flags + renewal narrative", "category": "reasoning", "mcp_tool": "qbr-auto", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [ "customer-success-renewal" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/qbr-auto/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Vantage Telecom\",\n \"sector\": \"Télécommunications B2B\"\n },\n \"customer\": {\n \"name\": \"Alan\",\n \"sector\": \"InsurTech — Assurance santé\",\n \"tier\": \"strategic\",\n \"contractValueEur\": 11988,\n \"contractStartDate\": \"2025-10-01\"\n },\n \"period\": {\n \"quarter\": \"Q1\",\n \"year\": 2026\n },\n \"metrics\": {\n \"npsScore\": 8.2,\n \"usageRate\": 74,\n \"supportTickets\": 3,\n \"featureAdoptionPct\": 61,\n \"renewalDateDays\": 183\n },\n \"wins\": [\n \"CFO Pierre a généré 8 rapports FP&A + 2 market-sizing en Q1 — économie estimée 3 études McKinsey à €40k = €120k\",\n \"Onboarding BYOK Alan en 4 min — zéro ticket support sur setup\",\n \"CRO Marc (Alan) a utilisé win-loss-decoder sur 12 deals — win rate +11 points en 6 semaines\",\n \"Intégration workflow...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 13.2, "output_complexity": 11, "median_sources_cited": 3, "median_quantified_claims": 38 }, "complementary_endpoints": [ "save-plays", "upsell-hunter", "renewal-optimizer", "battle-cards-live", "discovery-prep" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"healthScore\",\"quarterHighlights\",\"challengesAndActions\",\"roadmapNextQuarter\",\"expansionOpportunity\",\"renewalOutlook\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T11:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub × Alan — QBR Q1 2026 · Health score 82/100 · Upsell €18k détecté · Renewal low risk · 5 milestones Q2\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/recruiting-architect", "slug": "recruiting-architect", "tags": [ "chro-prep", "hr-strategy", "performance" ], "title": "Recruiting architecture — sourcing funnel + hiring velocity KPIs", "category": "data", "mcp_tool": "recruiting-architect", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly people review prep", "Pre-board HR dashboard", "Talent retention risk briefing", "Compensation benchmarking", "Culture & engagement audit" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/recruiting-architect/schema", "sla_uptime": "99.5%", "subcategory": "people-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Stripe France\",\n \"sector\": \"Fintech B2B SaaS — Payment infrastructure + financial services\",\n \"fte\": 750,\n \"fundingStage\": \"Late stage (private)\",\n \"location\": \"Paris, France\",\n \"employerBrandStrength\": \"strong\"\n },\n \"roles\": [\n {\n \"roleId\": \"ENG-01\",\n \"roleTitle\": \"Senior Software Engineer (Backend)\",\n \"roleType\": \"engineering\",\n \"seniority\": \"senior\",\n \"department\": \"Core Platform\",\n \"targetStartDate\": \"2026-09-01\",\n \"teamSizeReporting\": 0,\n \"keyMissionPoints\": \"Build payment routing engine v3 — dette technique sur le routing legacy, refonte distributed system de zéro.\"\n },\n {\n \"roleId\": \"ENG-02\",\n \"roleTitle\": \"Staff Software Engineer (Infrastructure)\",\n \"roleType\": \"enginee...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 19.9, "output_complexity": 12, "median_sources_cited": 4, "median_quantified_claims": 23 }, "complementary_endpoints": [ "enps-auto", "internal-communication", "ld-architect", "diversity-inclusion-metrics" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"methodology\",\"marketContext\",\"roleProfiles\",\"sourcingChannels\",\"employerBrandPlan\",\"candidateExperience\",\"pipelineGovernance\",\"quickWins\"], \"samples\": {\n \"generatedAt\": \"2026-05-06T23:50:00.000Z\",\n \"caseLabel\": \"Stripe France — 12 postes Q3 2026 · plan recrutement multi-canaux + employer brand + frameworks · time-to-hire cible 50j\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/renewal-optimizer", "slug": "renewal-optimizer", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "Renewal optimizer — uplift tactics + multi-year incentive design", "category": "reasoning", "mcp_tool": "renewal-optimizer", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [ "customer-success-renewal" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/renewal-optimizer/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Belmont SaaS\",\n \"sector\": \"Plateforme SaaS verticale\"\n },\n \"product\": {\n \"name\": \"Belmont SaaS\",\n \"avgContractLengthMonths\": 12\n },\n \"accounts\": [\n {\n \"id\": \"R001\",\n \"name\": \"Kyriba\",\n \"arrEur\": 3588,\n \"renewalInDays\": 42,\n \"tier\": \"enterprise\",\n \"healthScore\": 45,\n \"npsScore\": 6.2,\n \"usageRatePct\": 38,\n \"lastEngagementDays\": 28,\n \"churnSignals\": [\n \"Champion changé de poste\",\n \"Usage en baisse depuis 2 mois\",\n \"Pas de réponse aux 2 derniers emails\"\n ]\n },\n {\n \"id\": \"R002\",\n \"name\": \"Qonto\",\n \"arrEur\": 3588,\n \"renewalInDays\": 67,\n \"tier\": \"enterprise\",\n \"healthScore\": 91,\n \"npsScore\": 9.1,\n \"usageRatePct\": 88,\n \"last...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 15.3, "output_complexity": 13, "median_sources_cited": 3, "median_quantified_claims": 43 }, "complementary_endpoints": [ "save-plays", "qbr-auto", "upsell-hunter", "battle-cards-live", "discovery-prep" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"arrAtRisk\",\"arrLikelyRenewed\",\"renewalForecast\",\"playbook\",\"sources\",\"renewalPipeline\",\"riskTiering\",\"playbooks\",\"expansionOpportunities\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T11:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub — Renewals 10 comptes · €89k ARR à 90j · 3 comptes at-risk · Playbook 6 scénarios\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/reputation-engine", "slug": "reputation-engine", "tags": [ "cmo-prep", "marketing-strategy", "brand-watch" ], "title": "Reputation monitoring engine — sentiment map + response playbook", "category": "data", "mcp_tool": "reputation-engine", "languages": [ "fr" ], "use_cases": [ "Quarterly marketing review prep", "Pre-board brand performance briefing", "Campaign ROI post-mortem", "Competitive positioning refresh", "Investor deck marketing section" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/reputation-engine/schema", "sla_uptime": "99.5%", "subcategory": "marketing-intelligence", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"brand\": \"PayShield\",\n \"keywords\": [\n \"PayShield\",\n \"payshield.io\",\n \"PayShield fraud\",\n \"PayShield support\",\n \"PayShield pricing\",\n \"PayShield vs Stripe\",\n \"PayShield RGPD\",\n \"PayShield data breach\",\n \"payshield avis\"\n ],\n \"channels\": [\n \"twitter\",\n \"linkedin\",\n \"g2\",\n \"trustpilot\",\n \"news\",\n \"reddit\"\n ],\n \"industry\": \"Fintech / SaaS paiements B2B\",\n \"historicalCrises\": [\n \"Incident de maintenance non-planifié en novembre 2025 ayant causé 4h d'indisponibilité — couverture négative Fintech Mag FR\",\n \"Départ public du CTO en mars 2026 — 3 tweets de commentateurs VC sur la stabilité de l'équipe\"\n ]\n}", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 48.3, "output_complexity": 18, "median_sources_cited": 8, "median_quantified_claims": 103 }, "complementary_endpoints": [ "trend-watcher", "competitor-intel", "customer-voice-synth", "market-sizing", "positioning-strategist" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"signalsCaptured\",\"crisisPlaybooks\",\"mediaTrainingRecommendations\",\"monitoringStack\",\"presenterScript\",\"reputationScoreCurrent\",\"topicSentimentMap\",\"competitorBenchmark\",\"stakeholderPerception\",\"crisisRiskFlags\",\"actionPlan\",\"quickWins\",\"sources\",\"scenarios\"], \"samples\": {\n \"generatedAt\": \"2026-05-14T09:00:00.000Z\",\n \"caseLabel\": \"PayShield — Monitoring réputation Q2 2026 (twitter, linkedin, g2+)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/revops-architect", "slug": "revops-architect", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "RevOps architecture plan — funnel metrics + tech-stack audit", "category": "reasoning", "mcp_tool": "revops-architect", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [ "revops-foundation" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/revops-architect/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Qonto\",\n \"sector\": \"Fintech / Néobanque B2B\",\n \"currentArrEur\": 200000000,\n \"teamSize\": 1400,\n \"salesMotion\": \"hybrid\"\n },\n \"revenueTeam\": {\n \"sdrs\": 40,\n \"aes\": 80,\n \"csms\": 80,\n \"hasRevOpsFunction\": true,\n \"revOpsHeadcount\": 4\n },\n \"currentStack\": [\n {\n \"tool\": \"Salesforce\",\n \"category\": \"crm\",\n \"satisfaction\": \"ok\"\n },\n {\n \"tool\": \"Marketo\",\n \"category\": \"marketing-automation\",\n \"satisfaction\": \"poor\"\n },\n {\n \"tool\": \"Outreach\",\n \"category\": \"sdr-tool\",\n \"satisfaction\": \"good\"\n },\n {\n \"tool\": \"Looker\",\n \"category\": \"analytics\",\n \"satisfaction\": \"ok\"\n },\n {\n \"tool\": \"Gainsight\",\n \"category\": \"cs-platform\",\n \"satisfaction\": \"...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 14.4, "output_complexity": 11, "median_sources_cited": 5, "median_quantified_claims": 54 }, "complementary_endpoints": [ "cross-sell-reco", "comp-plan-architect", "sales-pipeline-forecast", "battle-cards-live", "discovery-prep" ], "sample_response_excerpt": "{\"_keys\": [\"revOpsAudit\",\"functionalArchitecture\",\"initiatives\",\"stackRecommendations\",\"dataGovernancePlan\",\"revenueForecasting\",\"kpis\",\"estimatedRevenueImpactEur\",\"revOpsMaturityBenchmark\",\"sources\",\"generatedAt\"], \"samples\": {\n \"estimatedRevenueImpactEur\": 4200000,\n \"generatedAt\": \"2026-05-14T08:00:00.000Z\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/rfp-tender-architect", "slug": "rfp-tender-architect", "tags": [ "coo-prep", "ops-strategy", "process" ], "title": "RFP/tender architect — evaluation criteria + scoring matrix", "category": "reasoning", "mcp_tool": "rfp-tender-architect", "languages": [ "fr", "ar", "en", "pt" ], "use_cases": [ "Quarterly operations review prep", "Pre-board ops performance briefing", "Process efficiency analysis", "Capacity planning decision brief", "Vendor performance scorecard" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/rfp-tender-architect/schema", "sla_uptime": "99.5%", "subcategory": "operations-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"clientCompany\": \"DINUM — Direction interministérielle du numérique\",\n \"rfpType\": \"public\",\n \"rfpScope\": \"Marché public de fourniture et intégration d'une plateforme IA souveraine pour l'automatisation du traitement documentaire au sein des administrations de l'État (analyse de dossiers, extraction de données, résumé automatique, recherche sémantique). Durée : 3 ans. Hébergement SecNumCloud obligatoire.\",\n \"ourPositioning\": \"Stack LLM open-source souverain (Mistral + Llama) déployé on-premise ou cloud qualifié SecNumCloud. Références : ANSSI, Ministère de l'Intérieur (500k docs/mois). Équipe 12 ingénieurs dont 4 docteurs en NLP. Certifiés ISO 27001 + HDS.\",\n \"competitorsLikely\": [\n \"Atos / Bull\",\n \"Sopra Steria\",\n \"Capgemini\",\n \"Talan\"\n ],\n \"budgetRange\": \"€1,5M - ...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 47.3, "output_complexity": 18, "median_sources_cited": 4, "median_quantified_claims": 92 }, "complementary_endpoints": [ "anti-demissions-hr", "knowledge-base-auto", "process-mining", "onboarding-salaries", "process-mapping" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"winThemes\",\"rfpResponseSections\",\"pricingStrategy\",\"competitorComparison\",\"risksAndMitigations\",\"presenterScript\",\"bidNoBidGate\",\"captureStrategy\",\"complianceMatrix\",\"responseProductionPlan\",\"redTeamReview\",\"submissionChecklist\",\"sources\",\"quickWins\"], \"samples\": {\n \"generatedAt\": \"2026-05-14T08:30:00.000Z\",\n \"caseLabel\": \"RFP DINUM — Réponse public · Plateforme IA souveraine\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/rse-policy-builder", "slug": "rse-policy-builder", "tags": [ "esg-csrd", "sustainability", "carbon" ], "title": "RSE policy builder — double materiality + stakeholder mapping", "category": "data", "mcp_tool": "rse-policy-builder", "languages": [ "fr" ], "use_cases": [ "CSRD annual reporting preparation", "Board ESG dashboard", "Carbon trajectory review", "Supplier ESG audit prep", "SBTi alignment verification" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/rse-policy-builder/schema", "sla_uptime": "99.5%", "subcategory": "esg-csrd", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"TechCorp\",\n \"sector\": \"SaaS B2B — logiciels de gestion RH et paie pour PME/ETI\",\n \"fte\": 500,\n \"revenueEur\": 60000000,\n \"country\": \"France\",\n \"foundedYear\": 2012\n },\n \"values\": [\n \"Transparence radicale\",\n \"Impact positif mesurable\",\n \"Inclusion et diversité\",\n \"Responsabilité partagée\",\n \"Innovation durable\"\n ],\n \"ambitions\": \"Devenir la scale-up tech française de référence en matière de RSE d'ici 2027 : obtenir EcoVadis Gold, décrocher le label Entreprise à mission, réduire notre empreinte carbone Scope 1+2 de 40% en 2027, atteindre 40% de femmes dans le leadership et être reconnus Top Employer.\",\n \"currentInitiatives\": [\n \"Télétravail 3 jours/semaine généralisé depuis 2022 (-35% trajets domicile-travail)\",\n \"Offse...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 41.7, "output_complexity": 20, "median_sources_cited": 15, "median_quantified_claims": 94 }, "complementary_endpoints": [ "carbon-footprint-calculator", "action-plan-esg", "carbon-roadmap", "esrs-narrative-builder", "supplier-esg-audit" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"visionStatement\",\"governance\",\"pillars\",\"responsibleProcurement\",\"stakeholderEngagement\",\"actionPlan36Months\",\"communicationPlan\",\"risks\",\"deploymentRoadmap\",\"sources\",\"policyArchitecture\",\"perTopicPolicies\",\"implementationPlan\",\"monitoringMechanism\",\"stakeholderConsultation\",\"quickWins\"], \"samples\": {\n \"generatedAt\": \"2025-06-15T09:00:00.000Z\",\n \"caseLabel\": \"TechCorp SAS — Politique RSE 2025-2028 (500 FTE, €60M CA, SaaS B2B France)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/sales-enablement-architect", "slug": "sales-enablement-architect", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "Sales enablement blueprint — content map + readiness scorecard", "category": "reasoning", "mcp_tool": "sales-enablement-architect", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/sales-enablement-architect/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Spendesk\",\n \"sector\": \"Fintech B2B / SaaS gestion dépenses\",\n \"productName\": \"Spendesk Spend Management Platform\",\n \"averageDealSizeEur\": 22000,\n \"salesCycleMonths\": 3,\n \"teamSize\": 500\n },\n \"salesTeam\": {\n \"totalReps\": 45,\n \"sdrs\": 18,\n \"aes\": 27,\n \"avgRampMonths\": 5,\n \"avgQuotaAttainmentPct\": 67,\n \"avgTimeOnAdminPct\": 38,\n \"topPerformerPct\": 22,\n \"bottomPerformerPct\": 31\n },\n \"currentEnablement\": {\n \"hasPlaybook\": false,\n \"hasCrm\": true,\n \"crmName\": \"Salesforce\",\n \"hasOnboarding\": true,\n \"onboardingDurationWeeks\": 3,\n \"trainingFrequency\": \"quarterly\",\n \"contentLibraryExists\": false,\n \"battlecardsExist\": false\n },\n \"gaps\": [\n \"Pas de playbook formalisé — chaque AE vend différemment\",\n ...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 20.1, "output_complexity": 10, "median_sources_cited": 22, "median_quantified_claims": 71 }, "complementary_endpoints": [ "battle-cards-live", "discovery-prep", "proposal-generator", "meddic-scoring", "champion-mapping" ], "sample_response_excerpt": "{\"_keys\": [\"enablementAudit\",\"enablementModules\",\"playbookOutline\",\"onboardingProgram\",\"battlecards\",\"technologyStack\",\"expectedImpact\",\"kpis\",\"sources\",\"generatedAt\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T08:00:00.000Z\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/sales-pipeline-forecast", "slug": "sales-pipeline-forecast", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "Pipeline forecast model — stage-weighted ARR + call accuracy", "category": "reasoning", "mcp_tool": "sales-pipeline-forecast", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [ "revops-foundation" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/sales-pipeline-forecast/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Doctolib Enterprise\",\n \"sector\": \"Healthtech B2B SaaS — solutions praticiens et établissements de santé\",\n \"fte\": 3000,\n \"arrCurrentEur\": 320000000,\n \"quotaTeamEur\": 12000000\n },\n \"pipeline\": {\n \"period\": \"Q2 2026 (Apr-Jun)\",\n \"deals\": [\n {\n \"dealId\": \"DOC-101\",\n \"account\": \"AP-HP — Assistance Publique Hôpitaux de Paris\",\n \"segment\": \"enterprise\",\n \"amountEur\": 1800000,\n \"currentStage\": \"negotiation\",\n \"daysInCurrentStage\": 28,\n \"expectedCloseDate\": \"2026-06-15\",\n \"ownerRep\": \"Sophie Martel\",\n \"productsScope\": [\n \"Doctolib Hospitals\",\n \"Patient Portal\",\n \"Telemedicine\"\n ],\n \"championIdentified\": true,\n \"economicBuyerAccess\"...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 22.4, "output_complexity": 12, "median_sources_cited": 3, "median_quantified_claims": 41 }, "complementary_endpoints": [ "cross-sell-reco", "comp-plan-architect", "revops-architect", "battle-cards-live", "discovery-prep" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"methodology\",\"scenarios\",\"forecastByDeal\",\"stageVelocity\",\"topDealsAtRisk\",\"coachingPriorities\",\"revopsRecommendations\",\"quickWins\"], \"samples\": {\n \"generatedAt\": \"2026-05-06T22:30:00.000Z\",\n \"caseLabel\": \"Doctolib Enterprise — pipeline Q2 2026 · 8 deals enterprise/mid-market · €7.4M total weighted\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/save-plays", "slug": "save-plays", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "Save-play playbook — at-risk accounts + retention scripts", "category": "reasoning", "mcp_tool": "save-plays", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [ "customer-success-renewal" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/save-plays/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Riverstone Media\",\n \"sector\": \"Média & édition digitale\"\n },\n \"account\": {\n \"name\": \"Kyriba\",\n \"arrEur\": 11988,\n \"churnReason\": \"Notre nouveau DAF estime que les rapports ne sont pas assez customisables pour notre workflow interne SAP. Il veut une intégration native, pas un outil séparé.\",\n \"signals\": [\n \"Champion historique (Pascal, ex-CFO) a changé de poste il y a 6 semaines\",\n \"Usage en baisse de 78% à 32% sur le dernier mois\",\n \"Nouveau DAF (Jean-Philippe) n'a jamais utilisé Gapup\",\n \"Email d'annulation reçu le 05/05/2026 — préavis 30 jours\",\n \"3 tickets support ouverts non résolus depuis 15 jours\"\n ],\n \"championName\": \"Jean-Philippe Marchand (DAF)\",\n \"daysToChurn\": 30\n },\n \"product\": {\n \"name\": \"R...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 11.9, "output_complexity": 8, "median_sources_cited": 4, "median_quantified_claims": 55 }, "complementary_endpoints": [ "qbr-auto", "upsell-hunter", "renewal-optimizer", "battle-cards-live", "discovery-prep" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"rootCauseAnalysis\",\"savePlan\",\"concessions\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T08:30:00.000Z\",\n \"caseLabel\": \"Kyriba — Plan sauvetage 30j · ARR €11.988 · Champion parti · Script 6 actions × 4 concessions · 42% save rate\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/strategic-options-analyzer", "slug": "strategic-options-analyzer", "tags": [ "cso-prep", "strategy", "m-and-a" ], "title": "Strategic options analysis — 5 scenarios + risk-weighted NPV", "category": "reasoning", "mcp_tool": "strategic-options-analyzer", "languages": [ "fr" ], "use_cases": [ "Annual strategy review preparation", "M&A target screening", "Geographic expansion decision brief", "Board strategy session pre-read", "Competitive scenario planning" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/strategic-options-analyzer/schema", "sla_uptime": "99.5%", "subcategory": "corporate-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Aircall\",\n \"url\": \"https://aircall.io\",\n \"pitch\": \"SaaS téléphonie B2B cloud-native, intégré aux CRM (Salesforce, HubSpot, Pipedrive). Solution pour équipes commerciales et support : numéros virtuels, analytics appels, IVR, coaching IA. 17 000 clients en 2024, 500+ FTE après restructuration (licenciements 25% en 2023).\",\n \"stage\": \"series-c\",\n \"countryHQ\": \"France (Paris) + US (New York)\",\n \"foundedYear\": 2014,\n \"currentArrEur\": 110000000,\n \"headcountNow\": 500\n },\n \"strategicContext\": {\n \"triggerEvent\": \"2023 : Aircall lève €119M Série D (2021) puis subit la correction SaaS : licenciements 25%, ARR growth ralentit à ~15% vs 80% peak. Marché voix B2B disrupté par IA conversationnelle (Gong, Chorus, puis Bland.ai, Vapi). Question boa...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 42.3, "output_complexity": 12, "median_sources_cited": 13, "median_quantified_claims": 146 }, "complementary_endpoints": [ "partnership-synergies", "deal-structurer", "capital-strategy", "growth-path-architect", "geographic-expansion" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"recommendedOptionId\",\"recommendationRationale\",\"options\",\"scenarios\",\"decisionMatrix\",\"plan100Days\",\"methodology\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T08:00:00.000Z\",\n \"caseLabel\": \"Aircall — 5 options stratégiques post-Série D (2023-2024)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/supplier-esg-audit", "slug": "supplier-esg-audit", "tags": [ "esg-csrd", "sustainability", "carbon" ], "title": "Supplier ESG audit brief — Tier-1 risk scores + remediation plan", "category": "data", "mcp_tool": "supplier-esg-audit", "languages": [ "fr" ], "use_cases": [ "CSRD annual reporting preparation", "Board ESG dashboard", "Carbon trajectory review", "Supplier ESG audit prep", "SBTi alignment verification" ], "workflows": [ "csrd-readiness" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/supplier-esg-audit/schema", "sla_uptime": "99.5%", "subcategory": "esg-csrd", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"TechCorp\",\n \"sector\": \"SaaS B2B — logiciels de gestion RH et paie pour PME/ETI\",\n \"fte\": 500,\n \"revenueEur\": 60000000,\n \"country\": \"France\"\n },\n \"suppliers\": [\n {\n \"name\": \"CloudHosting Europe\",\n \"sector\": \"Infrastructure cloud & hébergement\",\n \"country\": \"Pays-Bas\",\n \"annualSpendEur\": 480000,\n \"tier\": \"Tier 1\",\n \"existingCertifications\": [\n \"ISO 27001\",\n \"ISO 14001\"\n ],\n \"knownIssues\": \"Alimentation datacenter encore 40% gaz naturel (transition en cours)\"\n },\n {\n \"name\": \"DevStudio Maroc\",\n \"sector\": \"Développement logiciel offshore\",\n \"country\": \"Maroc\",\n \"annualSpendEur\": 720000,\n \"tier\": \"Tier 1\",\n \"knownIssues\": \"Pas de politique diversité formell...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 33.5, "output_complexity": 16, "median_sources_cited": 7, "median_quantified_claims": 85 }, "complementary_endpoints": [ "action-plan-esg", "carbon-roadmap", "esrs-narrative-builder", "carbon-footprint-calculator", "diversity-inclusion-metrics" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"portfolioOverview\",\"supplierScores\",\"remediationPlans\",\"monitoringFramework\",\"alerts\",\"supplierTiering\",\"esgScorecards\",\"scope3Emissions\",\"humanRightsRiskMap\",\"monitoringCadence\",\"quickWins\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2025-06-15T09:30:00.000Z\",\n \"caseLabel\": \"TechCorp — Audit ESG fournisseurs 2025 (5 fournisseurs, €1.37M spend, Tier 1 focus)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/sustainability-report", "slug": "sustainability-report", "tags": [ "esg-csrd", "sustainability", "carbon" ], "title": "Sustainability report draft — GRI/ESRS aligned + exec narrative", "category": "data", "mcp_tool": "sustainability-report", "languages": [ "fr", "en" ], "use_cases": [ "CSRD annual reporting preparation", "Board ESG dashboard", "Carbon trajectory review", "Supplier ESG audit prep", "SBTi alignment verification" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/sustainability-report/schema", "sla_uptime": "99.5%", "subcategory": "esg-csrd", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"GreenLoop Solutions\",\n \"sector\": \"Économie circulaire IT — refurb laptops & solutions IT durables B2B\",\n \"fte\": 95,\n \"revenueEur\": 18000000,\n \"mission\": \"Faire durer le matériel IT des entreprises 3× plus longtemps qu'un cycle neuf classique, en remplaçant la logique d'obsolescence par un service complet de reconditionnement, leasing et reverse logistics.\",\n \"foundedYear\": 2018,\n \"country\": \"France\"\n },\n \"existingLabels\": [\n \"EcoVadis Silver\"\n ],\n \"targetLabels\": [\n \"B-Corp\",\n \"EcoVadis Gold\",\n \"Lucie 26000\"\n ],\n \"pillars\": {\n \"environmental\": {\n \"kpis\": \"12 000 laptops reconditionnés en 2025 (+30% vs 2024) · 4 800 tCO2eq évitées vs neuf · 78% de matières premières économisées par rapport au neuf\",\n \"actions\"...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 33.4, "output_complexity": 13, "median_sources_cited": 29, "median_quantified_claims": 100 }, "complementary_endpoints": [ "carbon-footprint-calculator", "action-plan-esg", "carbon-roadmap", "esrs-narrative-builder", "supplier-esg-audit" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"purposeStatement\",\"threePillars\",\"impactDashboard\",\"labelStatus\",\"stakeholderVoices\",\"circularStory\",\"improvementCommitments\",\"clientFriendlyHighlights\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T15:00:00.000Z\",\n \"caseLabel\": \"GreenLoop Solutions — rapport durabilité B-Corp 2025 (95 FTE, €18M CA)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/sustainability-reporting-pilot", "slug": "sustainability-reporting-pilot", "tags": [ "risk-mgmt", "compliance", "cyber" ], "title": "Sustainability reporting pilot — CSRD readiness gap + sprint plan", "category": "data", "mcp_tool": "sustainability-reporting-pilot", "languages": [ "fr" ], "use_cases": [ "Quarterly risk committee prep", "Pre-audit compliance brief", "Cyber risk board presentation", "Regulatory change impact analysis", "Third-party risk screening" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/sustainability-reporting-pilot/schema", "sla_uptime": "99.5%", "subcategory": "risk-compliance", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"AlphaTech Industries SAS\",\n \"sector\": \"Fabrication de composants électroniques\",\n \"naceCode\": \"26.1\",\n \"fte\": 380,\n \"revenueEur\": 82000000,\n \"listedStatus\": \"private-large\",\n \"country\": \"France\"\n },\n \"targetFrameworks\": [\n \"CSRD\",\n \"GRI\",\n \"TCFD\"\n ],\n \"dataInputs\": {\n \"governance\": {\n \"boardComposition\": \"9 administrateurs dont 4 indépendants et 4 femmes (44%)\",\n \"csoSeniorityYears\": 3,\n \"esgCommittee\": true,\n \"internalControls\": \"ISO 9001:2015 et ISO 14001:2015 certifiés\"\n },\n \"environmental\": {\n \"scope1Tco2eq\": 1850,\n \"scope2Tco2eqLocation\": 4200,\n \"scope2Tco2eqMarket\": 2100,\n \"scope3Tco2eq\": 28000,\n \"energyMixPct\": {\n \"gridFR\": 45,\n \"gas\": 30,\n \"rene...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 39.8, "output_complexity": 12, "median_sources_cited": 12, "median_quantified_claims": 83 }, "complementary_endpoints": [ "carbon-footprint-calculator", "action-plan-esg", "carbon-roadmap", "esrs-narrative-builder", "supplier-esg-audit" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"complianceScore\",\"doubleMateriality\",\"esrsSections\",\"kpisEsg\",\"improvementPlan\",\"auditReadiness\",\"regulatoryAlerts\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-05T14:00:00.000Z\",\n \"caseLabel\": \"AlphaTech Industries SAS — premier rapport CSRD wave 2 (exercice 2025)\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/tax-optimization", "slug": "tax-optimization", "tags": [ "cfo-prep", "financial-modeling", "treasury" ], "title": "Tax optimization brief — effective rate levers + R&D credit audit", "category": "data", "mcp_tool": "tax-optimization", "languages": [ "fr", "ar", "de", "en", "es", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly financial review prep", "Pre-audit financial health check", "Board financial dashboard", "Cash-flow risk assessment", "Investor relations financial narrative" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/tax-optimization/schema", "sla_uptime": "99.5%", "subcategory": "financial-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Pennylane\",\n \"sector\": \"SaaS B2B — Comptabilité + Finance\",\n \"stage\": \"serie-c\",\n \"legalForm\": \"SAS\"\n },\n \"financials\": {\n \"annualRevenueEur\": 35000000,\n \"ebitdaEur\": -8000000,\n \"rdSpendEur\": 12000000,\n \"payrollEur\": 22000000,\n \"currentTaxRateEffectivePct\": 0\n },\n \"jurisdictions\": [\n \"France\",\n \"Allemagne\",\n \"Espagne\"\n ],\n \"activities\": [\n \"Développement logiciel SaaS comptabilité et finance pour PME et experts-comptables\",\n \"R&D IA pour automatisation de la réconciliation bancaire et catégorisation automatique\",\n \"Support et formation clients (experts-comptables partenaires)\",\n \"Commercial et marketing EU-6\",\n \"Intégrations API bancaires et ERP\"\n ],\n \"currentTaxOptimizations\": [\n \"Statut JEI (Jeune...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 18, "output_complexity": 14, "median_sources_cited": 21, "median_quantified_claims": 49 }, "complementary_endpoints": [ "margin-doctor-finance", "funding-hunter", "audit-pre-flight", "treasury-optimizer", "working-capital" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"disclaimer\",\"kpis\",\"executiveSummary\",\"effectiveTaxRateCurrent\",\"effectiveTaxRateTarget\",\"potentialSavingEur\",\"opportunities\",\"rdTaxCredit\",\"ipBoxRegime\",\"implementationPlan\",\"complianceWarnings\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-14T10:00:00.000Z\",\n \"caseLabel\": \"Pennylane — Fiscalité optimisée · CIR €1.2M · IP Box France 10% · 6 mécanismes · Économie totale €2.4M/an\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/term-sheet-negotiation", "slug": "term-sheet-negotiation", "tags": [ "fundraising", "vc-prep", "pitch" ], "title": "Term sheet negotiation brief — key clauses + founder safeguards", "category": "reasoning", "mcp_tool": "term-sheet-negotiation", "languages": [ "fr", "ar", "de", "en", "es", "pt", "zh-CN" ], "use_cases": [ "Fundraising round preparation", "VC investor shortlist screening", "Cap table dilution modeling", "Term sheet negotiation prep", "Post-money valuation scenario analysis" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/term-sheet-negotiation/schema", "sla_uptime": "99.5%", "subcategory": "fundraising-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Agicap\",\n \"sector\": \"SaaS trésorerie & cash-flow B2B\"\n },\n \"round\": {\n \"stage\": \"Série C\",\n \"amountMEur\": 50,\n \"leadInvestor\": \"Accel Partners\",\n \"preMoneyValuation\": 250\n },\n \"termSheetClauses\": [\n {\n \"clause\": \"Valorisation pre-money\",\n \"currentText\": \"Pre-money valuation de €250M avec un invest de €50M (post-money €300M).\"\n },\n {\n \"clause\": \"Liquidation preference\",\n \"currentText\": \"1× non-participating liquidation preference pour tous les investisseurs Série C.\"\n },\n {\n \"clause\": \"Anti-dilution\",\n \"currentText\": \"Broad-based weighted average anti-dilution protection pour les investisseurs Série C.\"\n },\n {\n \"clause\": \"Board composition\",\n \"currentText\": \"Board : 2 fondateurs,...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 23.4, "output_complexity": 16, "median_sources_cited": 12, "median_quantified_claims": 82 }, "complementary_endpoints": [ "pitch-deck-storyline", "bp-narratif", "cap-table-strategist", "earnings-reviewer", "investor-list" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"clauseAnalysis\",\"overallScore\",\"negotiationStrategy\",\"sources\",\"scenarios\",\"economic_terms\",\"control_terms\",\"redlines_priorities\",\"walkaway_thresholds\",\"comparable_deals\",\"term_comparison_table\",\"dilution_waterfall\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T10:30:00.000Z\",\n \"caseLabel\": \"Agicap Série C €50M — 8 clauses analysées · 3 rouges · Score fondateur 62/100 → plan pour 81\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/treasury-optimizer", "slug": "treasury-optimizer", "tags": [ "cfo-prep", "financial-modeling", "treasury" ], "title": "Treasury optimization plan — cash pooling + FX hedge strategy", "category": "data", "mcp_tool": "treasury-optimizer", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly financial review prep", "Pre-audit financial health check", "Board financial dashboard", "Cash-flow risk assessment", "Investor relations financial narrative" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/treasury-optimizer/schema", "sla_uptime": "99.5%", "subcategory": "financial-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Alan\",\n \"sector\": \"InsurTech — Assurance santé B2B SaaS\",\n \"stage\": \"serie-f\"\n },\n \"cashPosition\": {\n \"totalCashEur\": 380000000,\n \"operationalReserveMonths\": 18,\n \"monthlyBurnEur\": 8500000,\n \"currencies\": [\n \"EUR\",\n \"GBP\"\n ]\n },\n \"constraints\": {\n \"maxLockupDays\": 90,\n \"riskAppetite\": \"conservative\",\n \"bankPartners\": [\n \"BNP Paribas\",\n \"Société Générale\",\n \"Barclays\"\n ]\n },\n \"horizon\": \"12mo\"\n}", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 14.2, "output_complexity": 11, "median_sources_cited": 10, "median_quantified_claims": 61 }, "complementary_endpoints": [ "margin-doctor-finance", "funding-hunter", "audit-pre-flight", "working-capital", "tax-optimization" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"currentStateAnalysis\",\"proposedAllocation\",\"expectedYieldImprovement\",\"implementation\",\"cashFlowCalendar\",\"fxRiskAssessment\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-14T10:00:00.000Z\",\n \"caseLabel\": \"Alan — Trésorerie €380M post-Série F · 5 instruments · Yield +145bp · +€5.5M/an · Calendrier 12 mois\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/upsell-hunter", "slug": "upsell-hunter", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "Upsell opportunity hunter — usage signals + expansion talk track", "category": "reasoning", "mcp_tool": "upsell-hunter", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [ "customer-success-renewal" ], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/upsell-hunter/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Quantic Learning\",\n \"sector\": \"EdTech formation pro\"\n },\n \"product\": {\n \"name\": \"Quantic Learning\",\n \"availableUpsells\": [\n \"Bundle Risk Manager (3 expertises)\",\n \"Bundle Finance Pro (3 expertises)\",\n \"All-Access upgrade\",\n \"Siège supplémentaire (×10)\",\n \"White-label partenaire\"\n ]\n },\n \"accounts\": [\n {\n \"id\": \"A001\",\n \"name\": \"Alan\",\n \"currentArrEur\": 11988,\n \"tier\": \"strategic\",\n \"contractRenewalDays\": 183,\n \"usageRatePct\": 74,\n \"npsScore\": 8.2,\n \"activeUsers\": 12,\n \"maxContractUsers\": 15,\n \"lastEngagementDays\": 3,\n \"signals\": [\n \"CISO CC sur rapports cyber\",\n \"Budget Risk H1 non utilisé\",\n \"EU-IA-Act deadline Q3\"\n ]\n },\n {\n ...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 20.4, "output_complexity": 9, "median_sources_cited": 7, "median_quantified_claims": 71 }, "complementary_endpoints": [ "save-plays", "qbr-auto", "renewal-optimizer", "battle-cards-live", "discovery-prep" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"topOpportunities\",\"signalFramework\",\"totalUpsellPotentialEur\",\"playbook\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T11:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub — Upsell 8 comptes · €127k potentiel · Top 3 : Agicap+Alan+Qonto · 6 signaux universels · Playbook 7 étapes\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/vendor-management", "slug": "vendor-management", "tags": [ "coo-prep", "ops-strategy", "process" ], "title": "Vendor management scorecard — performance KPIs + renegotiation levers", "category": "reasoning", "mcp_tool": "vendor-management", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly operations review prep", "Pre-board ops performance briefing", "Process efficiency analysis", "Capacity planning decision brief", "Vendor performance scorecard" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.138, "price_usdc": 0.15, "schema_url": "https://hub.gapup.io/api/agent/vendor-management/schema", "sla_uptime": "99.5%", "subcategory": "operations-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Qonto\",\n \"sector\": \"Fintech / Néobanque B2B\",\n \"totalVendorSpendEur\": 2400000\n },\n \"vendors\": [\n {\n \"name\": \"Salesforce\",\n \"category\": \"CRM\",\n \"annualSpendEur\": 280000,\n \"contractEndDate\": \"2026-08-31\",\n \"satisfactionScore\": 7,\n \"criticalityLevel\": \"critical\",\n \"singleSource\": false\n },\n {\n \"name\": \"Datadog\",\n \"category\": \"Monitoring / Observabilité\",\n \"annualSpendEur\": 195000,\n \"contractEndDate\": \"2026-06-30\",\n \"satisfactionScore\": 9,\n \"criticalityLevel\": \"critical\",\n \"singleSource\": false\n },\n {\n \"name\": \"Intercom\",\n \"category\": \"Support client\",\n \"annualSpendEur\": 165000,\n \"contractEndDate\": \"2026-09-30\",\n \"satisfactionScore\": 6,\n \"c...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 13.7, "output_complexity": 9, "median_sources_cited": 5, "median_quantified_claims": 52 }, "complementary_endpoints": [ "anti-demissions-hr", "knowledge-base-auto", "process-mining", "onboarding-salaries", "process-mapping" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"vendorScorecard\",\"savingsOpportunities\",\"renewalCalendar\",\"sources\",\"riskMatrix\"], \"samples\": {\n \"generatedAt\": \"2026-05-08T10:00:00.000Z\",\n \"caseLabel\": \"Qonto (12 fournisseurs · €2.4M/an) — €290k économies identifiées · 4 renégociations prioritaires\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/vendor-risk-assessor", "slug": "vendor-risk-assessor", "tags": [ "risk-mgmt", "compliance", "cyber" ], "title": "Vendor risk assessment — tiered risk scores + contract controls", "category": "data", "mcp_tool": "vendor-risk-assessor", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly risk committee prep", "Pre-audit compliance brief", "Cyber risk board presentation", "Regulatory change impact analysis", "Third-party risk screening" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/vendor-risk-assessor/schema", "sla_uptime": "99.5%", "subcategory": "risk-compliance", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Sterling Pharma\",\n \"sector\": \"Pharmaceutique\",\n \"isRegulated\": false\n },\n \"assessmentPurpose\": \"annual-review\",\n \"riskFramework\": [\n \"cyber\",\n \"financial\",\n \"operational\",\n \"regulatory\",\n \"concentration\"\n ],\n \"vendors\": [\n {\n \"id\": \"V001\",\n \"name\": \"Anthropic\",\n \"category\": \"LLM provider\",\n \"annualSpendEur\": 180000,\n \"criticality\": \"critical\",\n \"dataAccess\": true,\n \"soc2\": true,\n \"iso27001\": false,\n \"contractExpiryMonths\": 12,\n \"knownIssues\": [\n \"Dépendance unique LLM principal\",\n \"Politique usage data ambiguë\",\n \"Rate limits en production\"\n ]\n },\n {\n \"id\": \"V002\",\n \"name\": \"Vercel\",\n \"category\": \"Hosting / CDN\",\n \"annualSpendEu...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 21, "output_complexity": 9, "median_sources_cited": 7, "median_quantified_claims": 67 }, "complementary_endpoints": [ "ai-governance-pilot", "sustainability-reporting-pilot", "privacy-compliance-audit", "contract-risk-scanner", "cyber-risk-auditor" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"riskHeatmap\",\"portfolioSummary\",\"concentrationRisks\",\"remediationRoadmap\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T11:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub — 10 fournisseurs · €265k spend · 6 dimensions risque · 3 critiques · Concentration LLM majeur · 5 remédiations priorisées\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/win-loss-decoder", "slug": "win-loss-decoder", "tags": [ "cro-prep", "sales-playbook", "revenue-ops" ], "title": "Win/loss decoder — pattern analysis + top 3 fix actions", "category": "reasoning", "mcp_tool": "win-loss-decoder", "languages": [ "fr", "ar", "de", "en", "es", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly revenue review prep", "Pre-QBR pipeline analysis", "Sales team onboarding playbook", "Deal coaching on live opportunity", "Board-ready forecast briefing" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.092, "price_usdc": 0.1, "schema_url": "https://hub.gapup.io/api/agent/win-loss-decoder/schema", "sla_uptime": "99.5%", "subcategory": "sales-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Meridian Travel\",\n \"sector\": \"SaaS IA décisionnelle C-suite\",\n \"stage\": \"seed\"\n },\n \"product\": {\n \"name\": \"Meridian Travel — All-Access\",\n \"category\": \"SaaS IA décisionnelle\",\n \"avgContractValueEur\": 11988\n },\n \"deals\": [\n {\n \"id\": \"D001\",\n \"outcome\": \"won\",\n \"dealValueEur\": 11988,\n \"durationDays\": 14,\n \"competitor\": \"McKinsey Lilli\",\n \"notes\": \"CFO Pennylane — a fait une démo benchmark vs Lilli, ROI immédiat démontré\"\n },\n {\n \"id\": \"D002\",\n \"outcome\": \"lost\",\n \"dealValueEur\": 3588,\n \"durationDays\": 22,\n \"lostReason\": \"Budget gelé Q1 — arbitrage CTO en faveur d'une tool interne\",\n \"competitor\": \"Notion AI\"\n },\n {\n \"id\": \"D003\",\n \"outcome\": \"won\",\n \"d...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 19.2, "output_complexity": 12, "median_sources_cited": 12, "median_quantified_claims": 61 }, "complementary_endpoints": [ "battle-cards-live", "discovery-prep", "proposal-generator", "meddic-scoring", "champion-mapping" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"winRate\",\"topWinDrivers\",\"topLossDrivers\",\"competitorAnalysis\",\"dealCycleInsights\",\"icp\",\"playbook\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-09T11:00:00.000Z\",\n \"caseLabel\": \"Gapup Hub — Win/Loss 32 deals Q1 2026 · Win rate 59% → 68% potentiel · 8 drivers gain · 8 drivers perte · Playbook 8 actions CRO\"\n}}" }, { "url": "https://hub.gapup.io/api/agent/working-capital", "slug": "working-capital", "tags": [ "cfo-prep", "financial-modeling", "treasury" ], "title": "Working capital optimizer — DSO/DPO/DSI levers + cash cycle", "category": "data", "mcp_tool": "working-capital", "languages": [ "fr", "ar", "de", "en", "es", "hi-IN", "it", "pt", "zh-CN" ], "use_cases": [ "Quarterly financial review prep", "Pre-audit financial health check", "Board financial dashboard", "Cash-flow risk assessment", "Investor relations financial narrative" ], "workflows": [], "currencies": [ "USDC", "EURC" ], "price_eurc": 0.184, "price_usdc": 0.2, "schema_url": "https://hub.gapup.io/api/agent/working-capital/schema", "sla_uptime": "99.5%", "subcategory": "financial-strategy", "quality_floor": { "success_rate_min": 0.95, "p50_latency_ms_max": 90000 }, "pricing_signal": { "strategy": "tracked_median_minus_15", "floor_usdc": 0.02, "ceiling_usdc": 0.5 }, "sample_request": "{\n \"company\": {\n \"name\": \"Agicap\",\n \"sector\": \"SaaS B2B — Cash flow management\",\n \"stage\": \"serie-c\"\n },\n \"financials\": {\n \"annualRevenueEur\": 28000000,\n \"currentCashEur\": 62000000,\n \"accountsReceivableEur\": 5600000,\n \"accountsPayableEur\": 1800000,\n \"currentDsoDays\": 52,\n \"currentDpoDays\": 23\n },\n \"challenges\": [\n \"DSO de 52 jours — certains clients grands comptes paient à 90 jours malgré contrats 30 jours\",\n \"Pas de processus de recouvrement automatisé — 2 personnes manuellement sur Excel\",\n \"DPO de seulement 23 jours alors que les fournisseurs accepteraient 45-60 jours\",\n \"Expansion Allemagne crée des décalages de trésorerie : paiement en EUR mais charges locales avancées\"\n ],\n \"topCustomers\": [\n \"LVMH\",\n \"Michelin\",\n \"Decathlon\",...", "quality_metrics": { "calls_30d": 0, "last_updated": "2026-05-24T10:25:43.815Z", "p10_latency_ms": 874, "p25_latency_ms": 1129, "p50_latency_ms": 1500, "p75_latency_ms": 1993, "p95_latency_ms": 3000, "p99_latency_ms": 3998, "success_rate_30d": 0.99, "freshness_target_days": 30 }, "freshness_target_days": 30, "output_characteristics": { "median_size_kb": 13.3, "output_complexity": 15, "median_sources_cited": 6, "median_quantified_claims": 61 }, "complementary_endpoints": [ "margin-doctor-finance", "funding-hunter", "audit-pre-flight", "treasury-optimizer", "tax-optimization" ], "sample_response_excerpt": "{\"_keys\": [\"generatedAt\",\"caseLabel\",\"kpis\",\"executiveSummary\",\"currentBfrEur\",\"targetBfrEur\",\"potentialCashReleaseEur\",\"dsoAnalysis\",\"dpoAnalysis\",\"dioAnalysis\",\"quickWins\",\"implementationRoadmap\",\"benchmarks\",\"scenarios\",\"sources\"], \"samples\": {\n \"generatedAt\": \"2026-05-14T10:00:00.000Z\",\n \"caseLabel\": \"Agicap — BFR optimisation · DSO 52→38j · DPO 23→45j · Cash libéré +€2.8M · 8 quick wins · 5 phases\"\n}}" } ], "description": "Sub-vertical C-suite expertise endpoints — 92 live niches, EU sovereign, BYOK-ready. Competitive intel, market analysis, finance, ESG/CSRD, fundraising and more.", "last_updated": "2026-05-24T10:25:44.161Z", "provider_url": "https://hub.gapup.io", "pricing_strategy": "tracked_median_minus_15", "value_proposition": "Fresh, structured intelligence priced 15% below market median, delivered via x402 protocol.", "workflow_templates": [ { "id": "sales-prep-quarterly", "name": "Sales Prep Quarterly", "endpoints": [ "competitor-intel", "battle-cards-live", "pricing-strategist", "champion-mapping" ], "exec_roles": [ "cmo", "cro" ], "description": "Quarterly sales team prep: refresh battle-cards, competitive intel, pricing strategy, and champion mapping for every key account.", "output_format": "JSON multi-document", "primary_use_case": "Q-end sales team prep + battlecards refresh", "estimated_cost_usdc": 0.4, "estimated_runtime_min": 8 }, { "id": "csrd-readiness", "name": "CSRD Readiness Sprint", "endpoints": [ "action-plan-esg", "esrs-narrative-builder", "carbon-roadmap", "supplier-esg-audit" ], "exec_roles": [ "sustainability" ], "description": "Full CSRD/ESG readiness: materiality action plan, ESRS narrative builder, carbon roadmap, and supplier ESG audit in one sequence.", "output_format": "JSON multi-document + ESRS narrative PDF", "primary_use_case": "Pre-CSRD audit compliance sprint", "estimated_cost_usdc": 0.75, "estimated_runtime_min": 15 }, { "id": "fundraising-prep", "name": "Fundraising Prep Pack", "endpoints": [ "pitch-deck-storyline", "investor-shortlist", "cap-table-strategist", "bp-narratif" ], "exec_roles": [ "fundraising" ], "description": "End-to-end fundraising prep: compelling pitch deck storyline, investor shortlist, cap table strategy, and financial narrative (bp-narratif).", "output_format": "JSON multi-document + narrative deck outline", "primary_use_case": "Seed/Series A fundraising prep", "estimated_cost_usdc": 0.8, "estimated_runtime_min": 12 }, { "id": "board-quarterly", "name": "Board Quarterly Pack", "endpoints": [ "market-sizing", "competitor-intel", "trend-watcher", "growth-path-architect" ], "exec_roles": [ "cmo", "cso" ], "description": "Board-ready quarterly pack: market sizing update, competitor moves, trend signals, and growth path options for the board deck.", "output_format": "JSON multi-document", "primary_use_case": "Board meeting prep — strategic context + growth scenarios", "estimated_cost_usdc": 0.53, "estimated_runtime_min": 10 }, { "id": "ma-deal-screening", "name": "M&A Deal Screening", "endpoints": [ "ma-deal-screener", "audit-pre-flight", "earnings-reviewer", "deal-structurer" ], "exec_roles": [ "cso", "cfo" ], "description": "Full M&A target evaluation: deal screener, pre-flight audit, earnings review, and deal structuring options.", "output_format": "JSON multi-document + scoring matrix", "primary_use_case": "M&A target shortlist → term sheet", "estimated_cost_usdc": 0.7, "estimated_runtime_min": 14 }, { "id": "launch-readiness", "name": "Go-To-Market Launch Readiness", "endpoints": [ "positioning-strategist", "abm-architect", "paid-ads-optimizer", "content-engine" ], "exec_roles": [ "cmo" ], "description": "Full GTM launch pack: positioning strategy, ABM architect, paid ads optimizer, and content engine — ready in one workflow.", "output_format": "JSON multi-document", "primary_use_case": "Product launch or new market entry GTM", "estimated_cost_usdc": 0.55, "estimated_runtime_min": 11 }, { "id": "customer-success-renewal", "name": "Customer Success & Renewal Playbook", "endpoints": [ "qbr-auto", "renewal-optimizer", "upsell-hunter", "save-plays" ], "exec_roles": [ "cro" ], "description": "Full CS & renewal cycle: automated QBR, renewal optimizer, upsell hunter, and save plays for at-risk accounts.", "output_format": "JSON multi-document", "primary_use_case": "QBR prep + renewal + upsell + save plays in one pass", "estimated_cost_usdc": 0.38, "estimated_runtime_min": 7 }, { "id": "revops-foundation", "name": "RevOps Foundation", "endpoints": [ "revops-architect", "sales-pipeline-forecast", "comp-plan-architect", "cross-sell-reco" ], "exec_roles": [ "cro" ], "description": "Build the RevOps engine: architect the stack, forecast pipeline, design comp plan, and generate cross-sell recommendations.", "output_format": "JSON multi-document", "primary_use_case": "RevOps stack design + pipeline + incentives + expansion", "estimated_cost_usdc": 0.43, "estimated_runtime_min": 9 }, { "id": "risk-compliance-scan", "name": "Risk & Compliance Full Scan", "endpoints": [ "cyber-risk-auditor", "fraud-detector", "privacy-compliance-audit", "kyc-screener" ], "exec_roles": [ "risk" ], "description": "360° risk scan: cyber posture audit, fraud detection patterns, privacy compliance audit, and KYC screener — all in one workflow.", "output_format": "JSON multi-document + risk heat map", "primary_use_case": "Annual or pre-audit compliance sweep", "estimated_cost_usdc": 0.78, "estimated_runtime_min": 13 }, { "id": "hr-people-strategy", "name": "HR People Strategy Pack", "endpoints": [ "capacity-planning", "comp-plan-architect", "ld-architect", "anti-demissions-hr" ], "exec_roles": [ "chro", "coo" ], "description": "Comprehensive people strategy: capacity planning, comp plan architect, L&D architect, and anti-resignation shield.", "output_format": "JSON multi-document", "primary_use_case": "Annual HR planning cycle: headcount + comp + L&D + retention", "estimated_cost_usdc": 0.57, "estimated_runtime_min": 10 } ] }