Hosted MCP server · #39 most used on Smithery
Gapup MCP — 270+ Agent-payable AI Tools
getgapup/gapup-mcp
270+ agent-payable C-suite expertises (competitive intel, SEC filings, sanctions multi-jurisdiction, KYC, pentest scope, clinical evidence GRADE-graded, real-estate deals EU-first, ESG, NAICS classifier, patent landscape, research paper Q&A). x402 USDC/EURC micro-payments. Free tier 100 calls/mo, no credit card. Dual-audience (human/agent).
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- 10k
- Tools
- 271
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- 6mo ago
Get started
Add it to your agent
npx -y @smithery/cli@latest install getgapup/gapup-mcp --client claudeSwap --client claude for cursor, vscode, windsurf or another client. The CLI asks for any required settings.
claude mcp add --transport http gapup-mcp-270-agent-payable-ai-t https://server.smithery.ai/getgapup/gapup-mcp/mcpA hosted server: nothing to install. Run /mcp in Claude Code to sign in if it asks.
[mcp_servers.gapup-mcp-270-agent-payable-ai-t]
url = "https://server.smithery.ai/getgapup/gapup-mcp/mcp"Add to ~/.codex/config.toml.
{
"mcpServers": {
"gapup-mcp-270-agent-payable-ai-t": {
"url": "https://server.smithery.ai/getgapup/gapup-mcp/mcp"
}
}
}Add to ~/.cursor/mcp.json.
{
"servers": {
"gapup-mcp-270-agent-payable-ai-t": {
"type": "http",
"url": "https://server.smithery.ai/getgapup/gapup-mcp/mcp"
}
}
}Add to .vscode/mcp.json.
gemini mcp add --transport http gapup-mcp-270-agent-payable-ai-t https://server.smithery.ai/getgapup/gapup-mcp/mcpSaved to .gemini/settings.json.
What it can do
80 of 271 tools
content_catalog4 paramsBrowse the Gapup gold-standard content catalogue — video games, films, TV series and music. Returns franchises with their works (title, r…
Browse the Gapup gold-standard content catalogue — video games, films, TV series and music. Returns franchises with their works (title, release year). When to use this tool: an agent needs structured, audited metadata for a cultural franchise, wants to resolve a title to a canonical entity, or browses a domain's catalogue before requesting enrichment. Inputs: a content domain and an optional case-insensitive name filter. Each franchise id can be passed to content_enrichment for its fine-grained
| Parameter | Type | Description |
|---|---|---|
name | string | Optional case-insensitive substring filter on franchise name |
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
limit | integer | Maximum number of franchises to return (default 20) |
domain | string | Content domain to browse |
content_enrichment3 paramsReturn the enriched tag profile of a content entity — the Gapup moat. Each tag carries a facet (genre, theme, play-mode, perspective…), a…
Return the enriched tag profile of a content entity — the Gapup moat. Each tag carries a facet (genre, theme, play-mode, perspective…), a confidence score, a corroboration score and its full provenance (which sources corroborated it, when). The response also carries an entity-level provenance block (average confidence, data freshness). When to use this tool: an agent has a franchise or work id (from content_catalog) and needs a fine-grained, machine-readable, verifiable characterisation for matc
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
entity_id | string | Entity id from content_catalog (e.g. 'music-daft-punk', 'film-the-dark-knight-collection:the-dark-knight') |
entity_type | string | Whether the id is a franchise or a work (default franchise) |
content_discovery5 paramsDiscover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `que…
Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped sho
| Parameter | Type | Description |
|---|---|---|
tag | string | Tag label to match precisely (e.g. 'thriller', 'co-op'). Mutually exclusive with `query`. |
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
limit | integer | Maximum franchises to return (default 25) |
query | string | Free-text intent for semantic search (e.g. 'melancholic synth-pop about heartbreak'). Mutually exclusive with `tag`. |
domain | string | Content domain to search within |
content_similar4 paramsFind content entities similar to a given one. For embedded franchises this uses SEMANTIC vector similarity (pgvector) over the enrichment…
Find content entities similar to a given one. For embedded franchises this uses SEMANTIC vector similarity (pgvector) over the enrichment profile — surfacing entities that feel alike even when their tags differ literally. Falls back to shared enrichment-tag overlap for works or non-embedded entities. Each result carries a similarity score and its entity-level freshness/confidence (verifiable, sourced). When to use this tool: an agent wants recommendations or lookalikes for a franchise or work. I
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
limit | integer | |
entity_id | string | Entity id from content_catalog |
entity_type | string |
content_taxonomy2 paramsReturn the enrichment taxonomy of a content domain — every tag grouped by facet (genre, theme, mood, play-mode…). When to use this tool: …
Return the enrichment taxonomy of a content domain — every tag grouped by facet (genre, theme, mood, play-mode…). When to use this tool: an agent needs the controlled vocabulary to filter, classify or query content. Input: a domain.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
domain | string | Content domain |
content_audience_profile3 paramsReturn the audience targeting profile of a content entity — its enrichment tags reframed as audience facets with confidence, corroboratio…
Return the audience targeting profile of a content entity — its enrichment tags reframed as audience facets with confidence, corroboration and full provenance (verifiable, sourced). The response also carries an entity-level provenance block (average confidence, data freshness). When to use this tool: an ad-tech or marketing agent needs a machine-readable, verifiable audience descriptor for a franchise or work. Input: an entity_id and its type.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
entity_id | string | Entity id from content_catalog |
entity_type | string |
content_provenance3 paramsAudit the full data provenance of a content entity — all its enrichment tags with their extraction source, corroboration score, source li…
Audit the full data provenance of a content entity — all its enrichment tags with their extraction source, corroboration score, source list and last verification date, plus an entity-level freshness summary. Use this tool before citing or relying on enriched content data in a high-stakes context (ad targeting, editorial, analysis). Inputs: entity_id (required) and entity_type (franchise or work).
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
entity_id | string | Entity id from content_catalog (e.g. 'video-game-elden-ring') |
entity_type | string | Whether the id is a franchise or a work (default: franchise) |
content_compare4 paramsCompare the tag profiles of two content entities (franchises or works) and measure how similar they are. Returns a Jaccard similarity sco…
Compare the tag profiles of two content entities (franchises or works) and measure how similar they are. Returns a Jaccard similarity score, the list of shared tags, the tags unique to each entity, and a breakdown of shared tags by facet. When to use this tool: an agent needs to compare two franchises or works (e.g. 'how similar are Dark Souls and Elden Ring?', 'what do Street Fighter and Mortal Kombat have in common?', 'on which axes do these two games differ?'), find positioning overlap, ident
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
entity_a | string | Id of the first entity from content_catalog (e.g. 'game-dark-souls', 'music-daft-punk'). |
entity_b | string | Id of the second entity from content_catalog (e.g. 'game-elden-ring', 'music-justice'). |
entity_type | string | Whether both ids are franchises or works (applies to both). Defaults to 'franchise'. |
content_ranking9 paramsReturn the TOP-ranked content entities in a category, by a chosen criterion — the direct answer to superlative / decision queries: 'best …
Return the TOP-ranked content entities in a category, by a chosen criterion — the direct answer to superlative / decision queries: 'best video games', 'top RPGs', 'cheapest games', 'best value RPGs', 'best FPS playable right now', 'most popular music artists'. Criteria: critic_score, popularity, price, value (critic score per unit price). `direction` flips it (asc = cheapest/lowest first). `available_only` restricts to entities currently buyable. Sliceable by genre and release-year window; every
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
genre | string | Optional genre filter, e.g. 'RPG', 'FPS', 'thriller' |
limit | integer | Number of ranked results (default 20) |
domain | string | Content domain to rank within |
year_to | integer | Optional latest release year |
criterion | string | critic_score (0-100, default) · popularity · price · value (critic score per unit price) |
direction | string | desc = best/highest first (default); asc = cheapest/lowest/least first. Defaults to asc for price. |
year_from | integer | Optional earliest release year |
available_only | boolean | If true, restrict to entities currently available to buy/play (default false) |
ftg_market_gap3 paramsReturn the import/production market-gap opportunities for a country — commodities where local demand outpaces local supply. Each opportun…
Return the import/production market-gap opportunities for a country — commodities where local demand outpaces local supply. Each opportunity carries the gap value (USD/year), the gap volume (tonnes/year), a 0-100 opportunity score and the potential margin. When to use this tool: an agent needs to know what a country structurally under-produces or over-imports, for trade sourcing, import/export or local-production investment decisions. Input: a country (ISO-2 code or name).
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
limit | integer | Maximum opportunities to return (default 20) |
country | string | Country ISO-2 code (e.g. 'SN', 'KE') or name (e.g. 'Senegal') |
ftg_production_methods2 paramsReturn the production methods for a commodity — each with a description, ordered process steps, pros/cons and a popularity rank. Methods …
Return the production methods for a commodity — each with a description, ordered process steps, pros/cons and a popularity rank. Methods are commodity-canonical: one curated set per commodity, reusable across every country. When to use this tool: an agent evaluates HOW a commodity is produced or processed, compares techniques, or builds a production plan. Input: a commodity slug or name.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
commodity | string | Commodity slug or name (e.g. 'rice', 'tomato', 'cashew') |
ftg_sourcing_buyers4 paramsReturn verified local buyers in a country — companies sourcing a given commodity, with buyer type, city, website, annual volume range and…
Return verified local buyers in a country — companies sourcing a given commodity, with buyer type, city, website, annual volume range and certification requirements. When to use this tool: an agent builds a sourcing or export shortlist, or needs real B2B demand contacts in a market. Input: a country and an optional commodity filter.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
limit | integer | Maximum buyers to return (default 20) |
country | string | Country ISO-2 code or name |
commodity | string | Optional commodity slug to filter buyers by |
ftg_opportunity_scout3 paramsRank the best countries for a given commodity — where the market gap, opportunity score and potential margin are highest. Cross-country s…
Rank the best countries for a given commodity — where the market gap, opportunity score and potential margin are highest. Cross-country scouting. When to use this tool: an agent has a commodity and needs to know WHERE to sell, export to or set up local production. Input: a commodity name.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
limit | integer | Maximum countries to return (default 20) |
commodity | string | Commodity name (e.g. 'rice', 'soybean', 'poultry') |
ftg_business_plan2 paramsReturn the business plan for a market-gap opportunity — direct-trade or local-production, with CAPEX, OPEX, ROI, payback period, automati…
Return the business plan for a market-gap opportunity — direct-trade or local-production, with CAPEX, OPEX, ROI, payback period, automation level and the full plan. Cache-first: returns the stored plan when available, otherwise reports that generation is required (the FTG platform produces plans on demand). When to use this tool: an agent has an opportunity_id (from ftg_market_gap) and needs the investable plan. Input: an opportunity_id.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
opportunity_id | string | Opportunity id obtained from ftg_market_gap |
ftg_production_economics4 paramsReturn production cost benchmarks (CAPEX/OPEX per unit, value ranges, scenarios, quality tiers) and agronomic yields (t/ha, cycles per ye…
Return production cost benchmarks (CAPEX/OPEX per unit, value ranges, scenarios, quality tiers) and agronomic yields (t/ha, cycles per year) for a commodity. When to use this tool: an agent sizes the economics of producing a commodity. Input: a commodity, with an optional country.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
limit | integer | |
country | string | Optional country ISO code or name |
commodity | string | Commodity name or slug |
ftg_investor_directory3 paramsReturn investors from the FTG directory — VC, PE and impact funds with type, firm, website, ticket-size range, sectors and stages of inte…
Return investors from the FTG directory — VC, PE and impact funds with type, firm, website, ticket-size range, sectors and stages of interest. When to use this tool: an agent builds a fundraising shortlist. Input: optional country and limit.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
limit | integer | |
country | string | Optional country ISO code or name |
ftg_country_regulations4 paramsReturn import, trade and production regulations for a country — category, title, summary and source. When to use this tool: an agent chec…
Return import, trade and production regulations for a country — category, title, summary and source. When to use this tool: an agent checks regulatory or compliance requirements before trading or producing in a market. Input: a country, with an optional category.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
limit | integer | |
country | string | Country ISO code or name |
category | string | Optional regulation category filter |
ftg_business_ideas3 paramsReturn vetted, automation-scored business ideas from the FTG idea bank — each with an autonomy score, monetization model and conservative…
Return vetted, automation-scored business ideas from the FTG idea bank — each with an autonomy score, monetization model and conservative/median/optimistic MRR projections. When to use this tool: an agent or founder wants ranked, buildable business ideas. Input: optional category and limit.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
limit | integer | |
category | string | Optional category filter |
ftg_country_study2 paramsReturn the in-depth FTG country study — multi-part structured analysis of a country's trade and production landscape. When to use this to…
Return the in-depth FTG country study — multi-part structured analysis of a country's trade and production landscape. When to use this tool: an agent needs deep country context before a sourcing, export or investment decision. Input: a country.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
country | string | Country ISO code or name |
ftg_seller_catalog4 paramsReturn seller catalogues registered on FTG — exporters and producers with their commodity, monthly capacity, certifications and target ex…
Return seller catalogues registered on FTG — exporters and producers with their commodity, monthly capacity, certifications and target export markets. When to use this tool: an agent builds a supplier or sourcing shortlist. Input: optional seller country and commodity.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
limit | integer | |
country | string | Optional seller country ISO code or name |
commodity | string | Optional commodity filter |
competitor_intel4 paramsLLM-narrated competitive-intelligence BRIEFING — for human consumption (board meeting, pitch prep). Pair tool: `competitive_deep_dive` fo…
LLM-narrated competitive-intelligence BRIEFING — for human consumption (board meeting, pitch prep). Pair tool: `competitive_deep_dive` for raw structured multi-source data (agent-shaped JSON). Returns: recent competitor moves with severity (critical/high/medium/low), prioritised signals, pricing-radar comparison, 3-6 quantified recommendations (impact in € or %, 7/30/90/180-day horizons), and an 8-12 slide presenter script. Use when the buyer wants a narrative briefing or a deck. Inputs: your co
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
focus | string | Optional — what the buyer wants to track first (e.g. pricing moves, hiring patterns) |
competitors | array | 1-10 competitors to analyze |
selfCompany | object | Your company info |
trend_watcher4 paramsMonitor emerging trends, regulatory shifts and adoption signals for a given market sector. Returns 5-12 trend cards, each with a momentum…
Monitor emerging trends, regulatory shifts and adoption signals for a given market sector. Returns 5-12 trend cards, each with a momentum score (rising/stable/declining), a 3-month and 12-month outlook, opportunity windows, and recommended actions. When to use this tool: the user asks what is heating up in a market, wants to time a product roadmap or content calendar, or needs an early read on a sector. Inputs: a sector to monitor and 3-8 keywords defining the watch perimeter. Delivered by Manue
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
focus | string | Optional context (geography, language target, comparator window, etc.) |
sector | string | Sector to monitor (e.g. 'B2B SaaS productivity', 'EU fintech', 'climate-tech hardware') |
keywords | array | 3-8 keywords describing the watch perimeter |
partnership_synergies6 paramsIdentify and rank strategic partnership opportunities for a company. Returns 5-12 high-fit partnership targets, each scored on revenue li…
Identify and rank strategic partnership opportunities for a company. Returns 5-12 high-fit partnership targets, each scored on revenue lift, time-to-impact, integration complexity and regulatory risk, with a rationale and a recommended first-step outreach playbook. When to use this tool: the user wants business-development or alliance ideas, or M&A target screening before deeper due diligence. Inputs: the user's own company and the strategic axis to unlock through partnership (e.g. enter a new m
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
focus | string | |
constraints | object | |
selfCompany | object | |
strategicAxis | string | What strategic axis to unlock through partnership (e.g. 'enter US market via distribution', 'leverage AI infra without rebuild') |
currentPartnerships | array | Existing alliances to factor in |
pitch_deck_storyline5 paramsBuild a complete investor pitch-deck storyline for a company. Returns an 8-20 slide narrative tailored to the target audience (seed-vc / …
Build a complete investor pitch-deck storyline for a company. Returns an 8-20 slide narrative tailored to the target audience (seed-vc / series-a-vc / growth-vc / strategic / bank / grant) — each slide carrying a title, key points, a speaker note and a visual hint — plus a Q&A bank of 10-15 likely board questions and traps to avoid. Output is deck JSON ready to export to Google Slides, Notion or Pitch.com. When to use this tool: the user is preparing a fundraise, a board meeting, or an investor
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
company | object | |
audience | string | Target audience — adapts tone + emphasis + Q&A bank |
keyFacts | array | Hard facts to weave into the deck (traction numbers, milestones, awards) |
slideCount | integer | 12 = standard VC deck, 15 = bank-friendly with annexes, 20 = growth/strategic |
carbon_footprint_calculator8 paramsCalculate a company's greenhouse-gas footprint under the GHG Protocol (Scope 1 + 2 + 3, in tCO2eq, tier-2 accuracy ±20%). Returns the emi…
Calculate a company's greenhouse-gas footprint under the GHG Protocol (Scope 1 + 2 + 3, in tCO2eq, tier-2 accuracy ±20%). Returns the emissions breakdown, hotspot identification, 5-8 reduction levers each with capex and payback, an SBTi-aligned reduction trajectory over 5-25 years, the 15 Scope-3 categories in detail, and CSRD/ESRS reporting readiness. When to use this tool: the user needs a carbon assessment for CSRD compliance pre-audit, green-finance access, or supplier ESG scorecards. Inputs
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
focus | string | |
company | object | |
perimeter | object | |
scope1Sources | array | |
scope2Sources | array | |
reductionTargets | object | |
scope3Activities | array |
market_research_brief4 paramsGenerate a structured, sourced market research brief on any market, sector or industry. Returns a machine-readable note with six sections…
Generate a structured, sourced market research brief on any market, sector or industry. Returns a machine-readable note with six sections: an executive overview, a market-size estimate (with assumptions and sources — no invented figures), key players, demand & technology trends, risk factors, and a traceable source list. When to use this tool: an agent needs to assess a new market, validate a business opportunity, prepare a pitch, or benchmark a sector before a strategic decision. Data is assemb
| Parameter | Type | Description |
|---|---|---|
geo | string | Optional geography to scope the brief (country name, region, or continent — e.g. 'France', 'Southeast Asia') |
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
topic | string | Market or sector to research (e.g. 'electric vehicle batteries', 'B2B SaaS CRM Europe', 'telemedicine Africa') |
sector | string | Optional parent sector to disambiguate the topic (e.g. 'healthcare', 'energy', 'software') |
competitive_deep_dive4 paramsGold-standard competitive deep dive — STRUCTURED multi-source data (no LLM narrative). Pair tool: `competitor_intel` for LLM-narrated boa…
Gold-standard competitive deep dive — STRUCTURED multi-source data (no LLM narrative). Pair tool: `competitor_intel` for LLM-narrated board briefing + slide script. Aggregates Wikipedia, Yahoo Finance, SEC EDGAR, Wayback Machine, DuckDuckGo, HackerNews, domain scraping — all keyless. Returns agent-shaped JSON: KPIs (funding, employees, revenue, market cap), P0/P1/P2 competitive signals, pricing radar, competitor comparison matrix, Wayback timeline, positioning (sector/industry/icp_hypothesis/moa
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
depth | string | Research depth: 'easy' = Wikipedia + DDG (fast, ~15s); 'medium' = + Yahoo Finance + EDGAR + Wayback (default, ~45s); 'hard' = + HackerNews + domain surfaces + competitor deep dive (~120s) |
company | string | Name or domain of the target company (e.g. 'Salesforce', 'notion.so', 'HubSpot CRM') |
competitors | array | Optional list of competitor names or domains to include in the comparison matrix (max 5) |
competitive_deep_dive_async3 paramsAsync variant of competitive_deep_dive. Returns immediately (<200ms) with a job_id. The research runs in the background (p50≈25s, p95≈30s…
Async variant of competitive_deep_dive. Returns immediately (<200ms) with a job_id. The research runs in the background (p50≈25s, p95≈30s for depth=medium). Poll the result with competitive_deep_dive_result(job_id) after the eta_seconds hint. Use this instead of competitive_deep_dive when the agent cannot wait >15s for a response. Inputs: same as competitive_deep_dive — company (required), competitors (optional list, max 5), depth (easy/medium/hard, default medium). Async tool — register a webho
| Parameter | Type | Description |
|---|---|---|
depth | string | Research depth: 'easy'≈15s, 'medium'≈30s (default), 'hard'≈60s |
company | string | Name or domain of the target company (e.g. 'Salesforce', 'notion.so') |
competitors | array | Optional list of competitor names or domains to include in the comparison matrix (max 5) |
competitive_deep_dive_result1 paramPoll the result of a competitive_deep_dive_async job. Returns status=pending while running, status=completed with the full report once do…
Poll the result of a competitive_deep_dive_async job. Returns status=pending while running, status=completed with the full report once done, status=failed on error, or status=not_found if the job_id is unknown or expired (TTL 24h). Call this after the eta_seconds hint returned by competitive_deep_dive_async.
| Parameter | Type | Description |
|---|---|---|
job_id | string | The job_id returned by competitive_deep_dive_async |
kyc_screener_batch2 paramsAsync batch variant of kyc_screener. Accepts 1-100 names and returns immediately (<300ms) with a job_id. The screening runs in the backgr…
Async batch variant of kyc_screener. Accepts 1-100 names and returns immediately (<300ms) with a job_id. The screening runs in the background (up to 10 parallel KYC calls). Poll the result with kyc_screener_batch_result(job_id) after the eta_seconds hint. Each entry can specify name, type (person/company/any), and an optional birthdate hint. Use for bulk client onboarding, UBO list screening, or periodic AML refresh batches. Async tool — register a webhook via `webhooks_manage(register, url, [jo
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
names | array | List of entities to screen (1-100). Each entry requires at minimum a name. |
kyc_screener_batch_result1 paramPoll the result of a kyc_screener_batch job. Returns status=pending while running, status=completed with the full array of KYC results on…
Poll the result of a kyc_screener_batch job. Returns status=pending while running, status=completed with the full array of KYC results once done, status=failed on error, or status=not_found if the job_id is unknown or expired (TTL 24h). Call this after the eta_seconds hint returned by kyc_screener_batch.
| Parameter | Type | Description |
|---|---|---|
job_id | string | The job_id returned by kyc_screener_batch (prefix: kycb_) |
ai_governance_full_report_async7 paramsAudit EU AI Act complet (Règlement UE 2024/1689) — implémentation native audit-grade. Classifie le système IA selon les 4 tiers de risque…
Audit EU AI Act complet (Règlement UE 2024/1689) — implémentation native audit-grade. Classifie le système IA selon les 4 tiers de risque (unacceptable/high_risk/limited_risk/minimal_risk/gpai) sur la base de l'Annexe III et de l'Article 5. Produit : (1) classification tier + justification + articles applicables, (2) checklist conformité Articles 9-15 + 50 + 53-55, (3) gaps documentation Annexe IV, (4) mapping ISO 42001, (5) deadlines EU AI Act 2025-2029, (6) estimation coût et effort, (7) top 1
| Parameter | Type | Description |
|---|---|---|
company_size | string | Taille entreprise : startup (≤50), smb (51-250), mid (251-1000), large (1001-5000), enterprise (>5000) |
data_sources | array | Sources de données utilisées par le système IA |
affected_persons | array | Catégories de personnes affectées par les décisions du système (ex: candidats, employés, clients) |
geographic_scope | array | Zones géographiques de déploiement (ex: 'EU', 'France', 'Global') |
intended_purpose | string | Finalité prévue du système IA : à quoi sert-il concrètement |
deployment_context | string | Contexte de déploiement : interne (usage employés), public, B2B, B2C |
ai_system_description | string | Description détaillée du système IA : ce qu'il fait, comment il fonctionne, quelles décisions il prend |
ai_governance_full_report_result1 paramPoll the result of an ai_governance_full_report_async job. Returns status=pending while running, status=completed with the full EU AI Act…
Poll the result of an ai_governance_full_report_async job. Returns status=pending while running, status=completed with the full EU AI Act governance audit report once done (risk_tier, compliance checklist Articles 9-15/50/53-55, Annex IV documentation gaps, ISO 42001 alignment, deadlines 2025-2029, cost estimate, top-10 recommendations P0/P1/P2, compliance_score), status=failed on error, or status=not_found if the job_id is unknown or expired (TTL 24h). Call this after the eta_seconds hint retur
| Parameter | Type | Description |
|---|---|---|
job_id | string | The job_id returned by ai_governance_full_report_async (prefix: aigfr_) |
abm_lookalike_account_finder4 paramsAs a CMO, discover 50 B2B accounts that closely match your top 10 customers' tech stacks and firmographics. This tool analyzes public web…
As a CMO, discover 50 B2B accounts that closely match your top 10 customers' tech stacks and firmographics. This tool analyzes public web data including robots.txt and OpenGraph metadata to identify lookalike accounts for targeted ABM campaigns. Input your top customer domains and desired firmographic filters to receive a ranked list of potential targets with matching technologies and company attributes.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
tech_stack_keywords | array | Specific technologies to match in lookalike accounts |
firmographic_filters | object | |
top_customer_domains | array | List of top 10 customer domains to use as seed accounts |
affiliate_fraud_clickstream_detector4 paramsAnalyzes affiliate clickstream data from Common Crawl to flag potential fraud patterns (duplicate IPs, rapid clicks, device spoofing). De…
Analyzes affiliate clickstream data from Common Crawl to flag potential fraud patterns (duplicate IPs, rapid clicks, device spoofing). Designed for CMOs to validate affiliate traffic quality and prevent budget waste. Inputs: affiliate network name and date range. Outputs: fraud probability score, suspicious IP list, and pattern analysis. Keywords: affiliate fraud detection, clickstream analysis, marketing attribution, traffic validation.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
threshold | number | Fraud probability threshold (0.1-0.99) |
date_range | object | |
affiliate_network | string | Name of the affiliate network to analyze (e.g., 'CJ Affiliate', 'Rakuten') |
africa_trade_barrier_breaker5 paramsAs a COO, analyze non-tariff trade barriers (NTBs) across African trade corridors using WITS and UNCTAD STAT data. Input origin/destinati…
As a COO, analyze non-tariff trade barriers (NTBs) across African trade corridors using WITS and UNCTAD STAT data. Input origin/destination countries and product HS codes to receive barrier mapping with severity scores and actionable mitigation strategies. Returns structured risk assessment, regulatory compliance gaps, and supply chain optimization recommendations. Pass async:true to avoid timeout.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
hs_code | string | 6-digit Harmonized System product code |
origin_country | string | ISO 3-letter country code for export origin |
destination_country | string | ISO 3-letter country code for import destination |
include_regulatory_details | boolean | Whether to include detailed regulatory text in output |
africa_trade_finance_esg_rater4 paramsAs a COO, evaluate ESG compliance of African trade finance providers using World Bank WITS trade statistics and CDP climate disclosure da…
As a COO, evaluate ESG compliance of African trade finance providers using World Bank WITS trade statistics and CDP climate disclosure data. Input the financial institution's name or identifier, and receive an ESG rating with breakdown across environmental, social, and governance dimensions. Ideal for due diligence on trade partners or portfolio risk assessment. Pass async:true to avoid timeout.
| Parameter | Type | Description |
|---|---|---|
year | number | Assessment year (2018-2023) |
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
countryCode | string | ISO 2-letter country code (e.g., 'ZA' for South Africa) |
institutionName | string | Full name of the trade finance provider (e.g., 'Standard Bank Group') |
africa_trade_preference_arbitrage6 paramsAnalyzes AGOA (African Growth and Opportunity Act) and EBA (Everything But Arms) trade preference arbitrage opportunities for COOs evalua…
Analyzes AGOA (African Growth and Opportunity Act) and EBA (Everything But Arms) trade preference arbitrage opportunities for COOs evaluating export strategies. Compares tariff rates, trade volumes, and preference utilization across eligible African countries using WITS and OECD trade data. Returns structured analysis of potential duty savings, market access advantages, and compliance requirements. — pass async:true REQUIRED to avoid x402 timeout.
| Parameter | Type | Description |
|---|---|---|
year | integer | Reference year for trade data |
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
hs_code | string | 6-10 digit Harmonized System product code |
exporting_country | string | ISO 2-letter country code of African exporter |
importing_country | string | ISO 2-letter country code of target market (US/EU) |
preference_scheme | string | Trade preference scheme to analyze |
africa_trade_preference_optimizer6 paramsAs a COO, analyze AGOA/EBA duty savings opportunities with HS code-level trade route optimization. Input origin country, destination coun…
As a COO, analyze AGOA/EBA duty savings opportunities with HS code-level trade route optimization. Input origin country, destination country, and HS code to receive duty savings estimates, optimal trade routes, and preference utilization recommendations. Uses UN Comtrade trade flow data, WCO tariff schedules, and African Union trade agreement rules. Ideal for export market evaluation, supply chain optimization, and trade agreement compliance analysis. Keywords: AGOA, EBA, duty savings, trade opt
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
hsCode | string | 6-10 digit Harmonized System code (e.g., '010121' for live horses) |
quantity | number | Estimated annual export quantity in units |
valueUsd | number | Estimated annual export value in USD |
originCountry | string | ISO 3166-1 alpha-3 country code of export origin (e.g., 'KEN' for Kenya) |
destinationCountry | string | ISO 3166-1 alpha-3 country code of import destination (e.g., 'USA' for United States) |
ai_act_incident_response6 paramsGenerates EU AI Act incident response playbooks with regulator notification templates for risk management teams. Inputs include incident …
Generates EU AI Act incident response playbooks with regulator notification templates for risk management teams. Inputs include incident severity, AI system type, and affected stakeholders. Outputs structured playbook steps, regulator notification drafts, and compliance checklists. Essential for high-risk AI system breaches requiring formal EU notification — pass async:true REQUIRED to avoid x402 timeout. Keywords: AI Act compliance, incident response, regulator notification, risk management, IS
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
severity | string | |
incident_type | string | |
ai_system_type | string | |
incident_description | string | |
affected_stakeholders | array |
ai_act_training_data_audit4 paramsAs a CTO, audit AI training datasets for EU AI Act compliance with bias detection and regulatory risk assessment. Inputs: dataset identif…
As a CTO, audit AI training datasets for EU AI Act compliance with bias detection and regulatory risk assessment. Inputs: dataset identifier (Hugging Face ID or URL) and optional risk thresholds. Outputs: compliance score, bias metrics, regulatory warnings, and source references. Ideal for pre-deployment risk evaluation. Pass async:true to avoid timeout.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
dataset_id | string | Hugging Face dataset identifier or direct URL to dataset |
risk_threshold | number | |
include_bias_metrics | boolean |
banking_fee_negotiator7 paramsAs a CFO-focused tool, banking_fee_negotiator analyzes your bank's fee structures (account maintenance, wire transfers, credit lines) and…
As a CFO-focused tool, banking_fee_negotiator analyzes your bank's fee structures (account maintenance, wire transfers, credit lines) and provides data-driven negotiation recommendations. Input your current fees and bank details to receive benchmark comparisons from World Bank and ECB SDW, along with specific levers to reduce costs. Ideal for optimizing treasury operations and improving financial efficiency. Keywords: bank fees, cost optimization, treasury management, financial benchmarking, neg
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
industry | string | Industry classification (e.g., 'manufacturing', 'retail') |
bank_country | string | ISO 2-letter country code of the bank |
credit_line_fee | number | Current annual credit line fee percentage |
wire_transfer_fee | number | Current domestic wire transfer fee in USD |
international_wire_fee | number | Current international wire transfer fee in USD |
account_maintenance_fee | number | Current monthly account maintenance fee in USD |
bond_covenant_monitor3 paramsAs a CFO, monitor bond covenant compliance by analyzing leverage ratios (debt-to-equity, debt-to-EBITDA) and interest coverage ratios usi…
As a CFO, monitor bond covenant compliance by analyzing leverage ratios (debt-to-equity, debt-to-EBITDA) and interest coverage ratios using real-time financial data. Input a company's ticker symbol and optional covenant thresholds to receive compliance status, key financial metrics, and SEC filing references. Ideal for proactive debt management and regulatory compliance tracking. Keywords: bond covenants, leverage ratio, interest coverage, debt compliance, SEC filings, financial health.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
ticker | string | Company ticker symbol (e.g., 'AAPL') |
covenantThresholds | object |
brand_equity_voice_share_calculator5 paramsCalculates brand equity voice share for CMOs by analyzing mentions across 500K+ news articles and forums from Common Crawl and Wayback Ma…
Calculates brand equity voice share for CMOs by analyzing mentions across 500K+ news articles and forums from Common Crawl and Wayback Machine. Inputs include brand name, competitors, and time range. Outputs voice share percentage, sentiment distribution, and top sources. Ideal for competitive benchmarking and brand visibility tracking. Pass async:true to avoid timeout.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
brand | string | |
time_range | object | |
competitors | array | |
include_forums | boolean |
cloud_cost_ri_optimizer6 paramsAnalyzes AWS and Azure cloud pricing data alongside RIPE regional demand trends to generate Reserved Instance purchase recommendations fo…
Analyzes AWS and Azure cloud pricing data alongside RIPE regional demand trends to generate Reserved Instance purchase recommendations for CTOs. Inputs include target cloud provider, instance family, region, and desired commitment term. Outputs include cost savings percentage, optimal RI quantity, and regional demand insights. Ideal for reducing cloud spend with data-driven decisions. Keywords: cloud cost optimization, reserved instances, AWS pricing, Azure pricing, RIPE demand trends.
| Parameter | Type | Description |
|---|---|---|
term | string | |
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
region | string | |
utilization | number | |
cloud_provider | string | |
instance_family | string |
comp_benchmark_geo_delta6 paramsCompares local compensation benchmarks against HQ standards for CHROs, adjusting for cost-of-living and tax differentials. Inputs include…
Compares local compensation benchmarks against HQ standards for CHROs, adjusting for cost-of-living and tax differentials. Inputs include job role, local and HQ locations, and salary range. Outputs include adjusted benchmark delta, cost-of-living multiplier, and tax impact. Keywords: compensation benchmark, geographic pay equity, cost-of-living adjustment, tax differential analysis.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
jobRole | string | Standardized job role (e.g., 'Software Engineer III') |
currency | string | ISO 4217 currency code (e.g., 'USD') |
baseSalary | number | Current base salary in local currency |
hqLocation | string | HQ location (ISO 3166-2 code or city, country) |
localLocation | string | Local work location (ISO 3166-2 code or city, country) |
content_evergreen_score_analyzer4 paramsEvaluates content evergreen potential for CMOs by analyzing historical traffic patterns and backlink authority. Takes a content URL and o…
Evaluates content evergreen potential for CMOs by analyzing historical traffic patterns and backlink authority. Takes a content URL and optional time range, returns an evergreen score (0-100), traffic trend analysis, and backlink profile. Ideal for content strategy planning, SEO optimization, and identifying high-value evergreen assets. Uses Wayback Machine and Common Crawl public APIs.
| Parameter | Type | Description |
|---|---|---|
url | string | Content URL to analyze |
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
toDate | string | End date for historical analysis (YYYY-MM-DD) |
fromDate | string | Start date for historical analysis (YYYY-MM-DD) |
incident_response_evidence_collector5 paramsAs a CTO, gather forensic evidence (logs, network flows, MITRE TTPs) from public breach reports and threat intelligence sources to suppor…
As a CTO, gather forensic evidence (logs, network flows, MITRE TTPs) from public breach reports and threat intelligence sources to support incident response post-mortems. Inputs include incident identifiers, date ranges, or MITRE technique IDs. Outputs structured evidence with attack patterns, indicators of compromise, and source references. — pass async:true REQUIRED to avoid x402 timeout.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
date_range | object | |
incident_id | string | Unique identifier for the incident (e.g., CVE, GitHub Advisory ID) |
mitre_technique_ids | array | List of MITRE ATT&CK technique IDs (e.g., T1059) |
include_network_flows | boolean |
ip_contract_clause_extractor4 paramsFor CHRO use: analyzes employment contract text to identify and extract IP-related clauses such as invention assignment, confidentiality,…
For CHRO use: analyzes employment contract text to identify and extract IP-related clauses such as invention assignment, confidentiality, non-compete, and patent rights. Returns structured data with clause types, risk levels, and relevant legal context. Ideal for contract review workflows, compliance checks, and IP protection strategy. Sources: USPTO PatFT and EPO Espacenet public datasets. Keywords: employment contract, IP clause, invention assignment, confidentiality agreement, non-compete, pa
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
contractText | string | Full text of the employment contract to analyze |
jurisdiction | string | Country/state jurisdiction for legal context (e.g., 'US-CA', 'DE') |
includeContext | boolean | Whether to include legal context for each clause |
ip_employee_invention_tracker6 paramsFor CHROs: tracks employee patent filings and flags unassigned inventions. Input employee name or ID to retrieve their patent application…
For CHROs: tracks employee patent filings and flags unassigned inventions. Input employee name or ID to retrieve their patent applications from USPTO and WIPO databases. Returns list of inventions with assignment status, filing dates, and potential ownership gaps. Useful for IP audits, inventor onboarding, and compliance checks. Keywords: patents, IP ownership, employee inventions, USPTO, WIPO.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
endDate | string | Filter patents filed before this date (YYYY-MM-DD) |
startDate | string | Filter patents filed after this date (YYYY-MM-DD) |
employeeId | string | Internal employee ID (optional if name provided) |
companyName | string | Exact legal name of company for assignment check |
employeeName | string | Full name of employee to track (e.g., 'John Doe') |
labor_law_alert_geo4 paramsProvides CHROs with daily alerts on new labor law changes by jurisdiction (state/country). Inputs include jurisdiction (ISO country/state…
Provides CHROs with daily alerts on new labor law changes by jurisdiction (state/country). Inputs include jurisdiction (ISO country/state code) and optional date range. Outputs structured legislative updates with summaries, effective dates, and source links. Useful for compliance monitoring, risk assessment, and policy adjustments. Keywords: labor law, compliance, legislation, jurisdiction, CHRO, HR policy.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
since | string | Optional start date for changes (YYYY-MM-DD). Defaults to 7 days ago. |
until | string | Optional end date for changes (YYYY-MM-DD). Defaults to today. |
jurisdiction | string | ISO 3166-1 alpha-2 country code or ISO 3166-2 state/province code (e.g., 'US-CA', 'FR') |
lnd_ai_skill_forecast4 paramsForecasts AI skill demand trends for CHROs by analyzing patent filings (USPTO PatFT) and job postings (BLS API). Returns 12-month skill d…
Forecasts AI skill demand trends for CHROs by analyzing patent filings (USPTO PatFT) and job postings (BLS API). Returns 12-month skill demand projections with confidence scores, helping HR leaders prioritize workforce upskilling. Inputs: target AI skills (e.g., 'machine learning', 'NLP'), geographic focus (US state/country), and forecast horizon. Outputs include skill growth rates, patent filing trends, and job posting volumes. Keywords: AI workforce planning, skill gap analysis, talent strateg
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
region | string | Geographic focus (US state code or 'US' for national, e.g., 'CA', 'US') |
skills | array | List of AI-related skills to forecast (e.g., ['machine learning', 'computer vision']) |
horizon_months | number | Forecast horizon in months (3-24, default 12) |
lnd_skill_taxonomy_builder5 paramsGenerates a dynamic skill taxonomy for CHROs by cross-referencing patent filings (USPTO), job postings (BLS), and learning & development …
Generates a dynamic skill taxonomy for CHROs by cross-referencing patent filings (USPTO), job postings (BLS), and learning & development data (OECD). Inputs include industry codes, job roles, or skill clusters; outputs structured skill hierarchies with demand trends and competency gaps. Essential for workforce transformation, talent pipeline optimization, and future-proofing organizational capabilities. — pass async:true REQUIRED to avoid x402 timeout.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
jobRole | string | Target job role or occupation (e.g., 'Data Scientist') |
industry | string | NAICS industry code or sector name (e.g., '541511' for IT services) |
timeRange | string | Time range for trend analysis |
skillCluster | string | Optional skill cluster to focus taxonomy (e.g., 'AI/ML') |
logistics_esg_incident_tracker6 paramsTracks real-time ESG incidents in logistics networks for COOs, including supply chain disruptions, regulatory violations, and sustainabil…
Tracks real-time ESG incidents in logistics networks for COOs, including supply chain disruptions, regulatory violations, and sustainability risks. Inputs: geographic region, incident type (e.g., emissions, labor, deforestation), and time range. Outputs: structured incident data with severity, location, and source verification. Uses CDP open data and UNCTAD STAT for comprehensive coverage. Keywords: ESG, logistics, supply chain, sustainability, compliance, risk management.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
region | string | Geographic region filter (e.g., 'Europe', 'Asia', 'Global') |
endDate | string | End date for incident search (ISO 8601) |
severity | string | Minimum severity level to include |
startDate | string | Start date for incident search (ISO 8601) |
incidentType | string | Type of ESG incident to track |
ma_arbitrage_hunter6 paramsAs a CFO, identify cross-border M&A arbitrage opportunities by comparing target company valuations across different jurisdictions. Inputs…
As a CFO, identify cross-border M&A arbitrage opportunities by comparing target company valuations across different jurisdictions. Inputs include target company ticker, primary and secondary jurisdictions, and valuation metrics. Outputs include valuation gaps, FX-adjusted multiples, and jurisdiction-specific premiums/discounts. Uses real-time ECB FX rates, Yahoo Finance market data, and SEC EDGAR filings for public companies. Ideal for quick assessment of potential arbitrage in M&A scenarios.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
sector | string | Industry sector for peer comparison (e.g., 'Technology') |
targetTicker | string | Target company ticker symbol (e.g., 'AAPL') |
valuationMetric | string | Valuation multiple to use for comparison |
primaryJurisdiction | string | Primary jurisdiction for valuation comparison (e.g., 'US') |
secondaryJurisdiction | string | Secondary jurisdiction for valuation comparison (e.g., 'DE') |
ma_tax_efficiency_mapper6 paramsFor CFOs evaluating cross-border M&A deals: analyzes tax efficiency by mapping withholding tax rates, transfer pricing regulations, and p…
For CFOs evaluating cross-border M&A deals: analyzes tax efficiency by mapping withholding tax rates, transfer pricing regulations, and permanent establishment risks across specified jurisdictions. Inputs include acquirer/target jurisdictions, deal structure, and transaction value. Outputs jurisdiction-specific tax exposure, efficiency scores, and risk flags. Uses World Bank Tax Rates API, IMF SDR data, and SEC EDGAR filings for corporate tax disclosures. — pass async:true REQUIRED to avoid x402
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
deal_structure | string | Type of M&A transaction structure |
transaction_value | number | Deal value in USD millions |
target_jurisdiction | string | ISO 3166-1 alpha-3 country code of the target entity |
acquirer_jurisdiction | string | ISO 3166-1 alpha-3 country code of the acquiring entity |
include_transfer_pricing | boolean | Whether to analyze transfer pricing risks |
manufacturing_esg_compliance_mapper5 paramsAs a COO, quickly identify ESG compliance gaps across manufacturing facilities using EPA TRI emissions data and GRI sustainability standa…
As a COO, quickly identify ESG compliance gaps across manufacturing facilities using EPA TRI emissions data and GRI sustainability standards. Input facility identifiers or geographic regions to receive a prioritized remediation roadmap with risk scores, regulatory violations, and suggested corrective actions. Ideal for sustainability reporting, regulatory risk assessment, and operational improvement planning. Keywords: ESG compliance, manufacturing facilities, EPA TRI, GRI standards, sustainabil
| Parameter | Type | Description |
|---|---|---|
year | number | Reporting year (default: current year - 1) |
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
region | string | Geographic region (state, county, or ZIP code) for facility search |
includeGri | boolean | Include GRI standards analysis (default: true) |
facilityIds | array | List of EPA facility identifiers (e.g., TRIFID) |
manufacturing_waste_heatmap5 paramsGenerates manufacturing waste heatmaps for COOs using EPA TRI and FAOSTAT data. Input manufacturing site identifiers or geographic region…
Generates manufacturing waste heatmaps for COOs using EPA TRI and FAOSTAT data. Input manufacturing site identifiers or geographic regions to analyze waste streams, emissions, and resource inefficiencies. Outputs include waste intensity maps, circular economy opportunity rankings, and cost-saving potential. Ideal for sustainability strategy and operational efficiency improvements. Pass async:true to avoid timeout.
| Parameter | Type | Description |
|---|---|---|
year | number | Analysis year (2010-2023) |
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
region | string | Geographic region (country code or sub-national region) for aggregated analysis |
site_ids | array | List of manufacturing site identifiers (EPA TRI IDs or FAO facility codes) |
waste_types | array | Specific waste types to analyze (e.g., ['metals', 'chemicals', 'energy']) |
observability_log_pattern_miner6 paramsAs a CTO, extract anomalous log patterns from public breach reports (e.g., Verizon DBIR) and MITRE ATT&CK techniques to optimize SIEM rul…
As a CTO, extract anomalous log patterns from public breach reports (e.g., Verizon DBIR) and MITRE ATT&CK techniques to optimize SIEM rules and observability pipelines. Inputs include threat actor groups, MITRE tactics (e.g., 'TA0005'), or log sources (e.g., 'AWS CloudTrail'). Outputs structured patterns with MITRE mappings, prevalence scores, and detection recommendations. Ideal for reducing false positives and improving breach detection coverage. Pass async:true to avoid timeout.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
tactic | string | MITRE ATT&CK tactic ID (e.g., 'TA0005') |
technique | string | MITRE ATT&CK technique ID (e.g., 'T1059') |
log_source | string | Log source type (e.g., 'AWS CloudTrail', 'Windows Event Log') |
max_results | integer | |
threat_actor | string | Threat actor group name (e.g., 'APT29') |
observability_metric_anomaly_detector5 paramsAs a CTO, quickly identify anomalous cloud metrics (CPU, latency, memory) by comparing your infrastructure against AWS public benchmarks …
As a CTO, quickly identify anomalous cloud metrics (CPU, latency, memory) by comparing your infrastructure against AWS public benchmarks and CVE-linked hardware risks. Input your observed metrics (e.g., CPU utilization, request latency) and receive a risk assessment with potential root causes. Ideal for performance troubleshooting, security hardening, and capacity planning. Keywords: cloud observability, anomaly detection, CVE hardware risks, AWS benchmark comparison.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
region | string | |
metricType | string | |
instanceType | string | |
observedValue | number |
patent_ownership_audit4 paramsAudits patent ownership for employees or contractors, identifying gaps where inventors may not have properly assigned patent rights to th…
Audits patent ownership for employees or contractors, identifying gaps where inventors may not have properly assigned patent rights to the company. Designed for CHROs to ensure IP compliance and mitigate legal risks. Inputs: employee/contractor names or IDs, optional date range. Outputs: list of patents, ownership status, flagged gaps, and assignment details. Sources: USPTO PatFT and EPO Espacenet public records. Keywords: patent audit, IP compliance, employee inventions, contractor agreements,
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
dateRange | object | Optional date range for patent filings |
employeeIds | array | List of employee or contractor IDs (optional if names provided) |
employeeNames | array | List of employee or contractor full names to audit |
payment_rails_cost_analyzer6 paramsAs a CFO, compare cross-border payment rail costs (SWIFT, SEPA, local ACH, stablecoins) with FX conversion fees and settlement times. Inp…
As a CFO, compare cross-border payment rail costs (SWIFT, SEPA, local ACH, stablecoins) with FX conversion fees and settlement times. Input source/destination countries and amount, receive cost breakdown, FX rates, and settlement time estimates. Uses ECB FX rates and World Bank remittance price data for accurate cost analysis. Ideal for optimizing international payment strategies and reducing transaction expenses.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
amount | number | Transaction amount in source currency |
source_country | string | ISO 3166-1 alpha-2 country code of payment origin |
source_currency | string | ISO 4217 currency code of source amount |
destination_country | string | ISO 3166-1 alpha-2 country code of payment destination |
destination_currency | string | ISO 4217 currency code of destination amount |
procurement_okr_esg_aligner4 paramsAligns procurement OKRs with ESG targets for COOs using GRI standards and EU TED procurement benchmarks. Inputs include procurement objec…
Aligns procurement OKRs with ESG targets for COOs using GRI standards and EU TED procurement benchmarks. Inputs include procurement objectives and ESG focus areas (e.g., carbon reduction, supplier diversity). Outputs structured alignment scores, gap analysis, and actionable recommendations. Essential for COOs integrating sustainability into procurement strategy. Keywords: procurement, ESG, GRI, EU TED, OKR alignment, sustainability metrics.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
esgFocusAreas | array | |
industrySector | string | |
procurementObjectives | array |
procurement_six_sigma_waste_hunter6 paramsAnalyzes procurement waste for COOs using Six Sigma DMAIC framework and EU TED tender data. Identifies non-value-added activities, overpr…
Analyzes procurement waste for COOs using Six Sigma DMAIC framework and EU TED tender data. Identifies non-value-added activities, overprocessing, and inefficiencies in procurement workflows. Inputs include procurement category, time period, and organizational unit. Outputs waste classification, cost impact estimates, and process improvement recommendations. — pass async:true REQUIRED to avoid x402 timeout.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
time_period | string | Time period for analysis (e.g., '2023-01-01/2023-12-31') |
six_sigma_tool | string | |
include_ted_data | boolean | |
organizational_unit | string | Specific business unit or department (e.g., 'EMEA', 'Global Operations') |
procurement_category | string | Specific procurement category to analyze (e.g., 'IT hardware', 'facilities') |
social_engagement_velocity_tracker3 paramsTracks hourly social engagement velocity (likes, shares, comments) across Twitter, LinkedIn, and Reddit for CMOs. Inputs include platform…
Tracks hourly social engagement velocity (likes, shares, comments) across Twitter, LinkedIn, and Reddit for CMOs. Inputs include platform handles/subreddits and time range. Outputs engagement metrics, velocity trends, and platform-specific insights. Ideal for real-time marketing performance monitoring and competitive benchmarking. Keywords: social media analytics, engagement tracking, marketing KPIs, CMO dashboard.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
hours | number | |
platforms | array |
social_influencer_fake_follower_detector3 paramsAnalyzes up to 10 social media influencers for fake followers by checking engagement velocity patterns (Trends24) and RSS feed anomalies.…
Analyzes up to 10 social media influencers for fake followers by checking engagement velocity patterns (Trends24) and RSS feed anomalies. Returns authenticity scores, follower growth spikes, and suspicious activity flags. Optimized for CMOs evaluating influencer partnerships. Includes keywords: influencer marketing, fake follower detection, engagement analysis, social media audit.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
platform | string | Social media platform of the influencers |
influencerHandles | array | Array of up to 10 social media handles (e.g., ['@influencer1', 'user2']) |
sovereign_data_breach_impact5 paramsEstimates financial impact of a data breach across three jurisdictions (US, EU, UK) for CFO strategic planning. Inputs include breach siz…
Estimates financial impact of a data breach across three jurisdictions (US, EU, UK) for CFO strategic planning. Inputs include breach size, industry sector, and affected jurisdictions. Outputs include direct costs, regulatory fines, reputational damage, and cyber insurance premium adjustments. Ideal for cross-border risk assessment, financial contingency planning, and board-level reporting. Keywords: data breach cost, regulatory fines, cyber insurance, financial risk, cross-jurisdiction impact.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
industry | string | Industry sector of the affected organization |
records_lost | number | Number of records compromised in the breach |
jurisdictions | array | Jurisdictions where the breach has legal or financial impact |
detection_time_days | number | Time in days to detect the breach |
sre_slo_breach_predictor3 paramsAs a CTO, predict potential SLO breaches 24 hours in advance by analyzing public incident reports and MITRE ATT&CK techniques. Input your…
As a CTO, predict potential SLO breaches 24 hours in advance by analyzing public incident reports and MITRE ATT&CK techniques. Input your service's critical components and reliability thresholds to receive breach probability scores, top contributing TTPs, and recommended mitigations. Uses MITRE ATT&CK, GitHub Advisories, and Cloudflare Radar data. Pass async:true to avoid timeout.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
time_window_hours | number | |
service_components | array |
talent_contract_risk_mapper5 paramsFor CHROs: analyzes employee contracts for non-compete, IP assignment, and confidentiality clauses, comparing against state labor laws an…
For CHROs: analyzes employee contracts for non-compete, IP assignment, and confidentiality clauses, comparing against state labor laws and jurisdiction-specific precedents. Returns risk levels, conflicting statutes, and suggested revisions. Uses USPTO PatFT, CourtListener, and EUR-Lex for legal cross-referencing. Ideal for contract reviews, compliance audits, or policy updates.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
jurisdiction | string | State or country jurisdiction (e.g., 'California', 'Germany') |
contract_text | string | Full text of the employee contract or clause section to analyze |
employee_role | string | Job title or role classification (e.g., 'Software Engineer', 'Executive') |
effective_date | string | Contract effective date (YYYY-MM-DD) |
talent_legal_dashboard6 paramsGenerates a real-time legal risk dashboard for CHROs, covering contracts, intellectual property, and labor law compliance. Inputs include…
Generates a real-time legal risk dashboard for CHROs, covering contracts, intellectual property, and labor law compliance. Inputs include jurisdiction, employee count, and risk thresholds; outputs include risk scores, actionable alerts, and source citations. Ideal for proactive legal risk management and compliance monitoring. Pass async:true to avoid timeout.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
includeIP | boolean | |
jurisdiction | string | |
employeeCount | number | |
riskThreshold | number | |
includeLaborLaw | boolean |
talent_litigation_exposure5 paramsEstimates litigation exposure risk for CHROs by analyzing past employee lawsuits, settlement amounts, and industry benchmarks. Inputs inc…
Estimates litigation exposure risk for CHROs by analyzing past employee lawsuits, settlement amounts, and industry benchmarks. Inputs include company location, industry code, and employee count range. Returns exposure score, average settlement amounts, lawsuit frequency trends, and risk factors. Ideal for legal risk assessment, HR strategy planning, and board-level reporting. Pass async:true to avoid timeout.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
industry_code | string | NAICS industry code (e.g., '541511' for IT services) |
employee_count | number | Current number of employees |
lookback_years | number | Number of years to analyze |
company_location | string | State or region where company operates (e.g., 'CA', 'New York') |
talent_poaching_risk5 paramsAnalyzes employee poaching risk for CHROs by evaluating LinkedIn profile activity (job searches, profile views) and comparing compensatio…
Analyzes employee poaching risk for CHROs by evaluating LinkedIn profile activity (job searches, profile views) and comparing compensation against BLS benchmarks. Returns a ranked list of high-risk employees with risk scores and suggested retention actions. Ideal for proactive talent retention strategies. Keywords: employee retention, poaching risk, compensation benchmark, LinkedIn activity, CHRO analytics.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
location | string | Geographic location filter (e.g., 'San Francisco, CA') |
department | string | Department filter (e.g., 'Engineering', 'Sales') |
min_tenure_months | number | Minimum tenure in months to include in analysis |
benchmark_job_title | string | Specific job title for compensation benchmarking |
trade_finance_eligibility5 paramsEvaluates trade finance eligibility for CFOs by analyzing counterparty risk and jurisdiction using World Bank and BIS data. Inputs includ…
Evaluates trade finance eligibility for CFOs by analyzing counterparty risk and jurisdiction using World Bank and BIS data. Inputs include counterparty country code (ISO 3166-1 alpha-3) and industry sector. Returns risk scores, eligibility flags, and financing terms. Ideal for assessing letters of credit, export credit agency guarantees, and other trade finance instruments. Keywords: trade finance, counterparty risk, jurisdiction risk, letters of credit, ECA guarantees.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
industrySector | string | |
annualTradeVolumeUSD | number | |
counterpartyCountryCode | string | |
counterpartyCreditRating | string |
vendor_esg_blacklist_monitor4 paramsAs a COO, quickly check if a vendor is blacklisted for ESG non-compliance using CDP and GRI data. Input the vendor's legal name or identi…
As a COO, quickly check if a vendor is blacklisted for ESG non-compliance using CDP and GRI data. Input the vendor's legal name or identifier to receive their ESG risk score, blacklist status, and compliance violations. Returns structured data including CDP disclosure score, GRI alignment, and any regulatory flags. Ideal for vendor due diligence, risk assessment, and sustainability reporting. Keywords: ESG, vendor risk, compliance, CDP, GRI, sustainability, blacklist.
| Parameter | Type | Description |
|---|---|---|
year | number | Reporting year (default: current year) |
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
vendorId | string | Optional identifier (e.g., LEI, DUNS) |
vendorName | string | Legal name of the vendor to check |
vendor_esg_diversity_scanner4 paramsFor COOs: scans vendor ESG reports to identify suppliers lacking diversity disclosures in GRI or CDP filings. Input a supplier name or id…
For COOs: scans vendor ESG reports to identify suppliers lacking diversity disclosures in GRI or CDP filings. Input a supplier name or identifier to receive a structured assessment of gender, ethnicity, and board diversity metrics. Returns compliance gaps, missing data flags, and source references from CDP open data and GRI standards. Ideal for vendor risk assessment and ESG compliance tracking.
| Parameter | Type | Description |
|---|---|---|
year | number | Reporting year to check (default: current year) |
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
supplierId | string | CDP or GRI identifier for the supplier (e.g., CDP company ID) |
supplierName | string | Exact or partial name of the supplier to scan |
vertical_ai_agent_governance6 paramsGenerates a comprehensive vertical AI agent workforce integration plan for CHROs, including governance frameworks, human-AI collaboration…
Generates a comprehensive vertical AI agent workforce integration plan for CHROs, including governance frameworks, human-AI collaboration metrics, and upskilling recommendations. Inputs: industry vertical, workforce size, and current AI adoption level. Outputs: role-specific AI integration roadmaps, skill gap analysis, and performance benchmarks. Uses O*NET skill taxonomies and Gartner AI adoption trends. For best results with large datasets, pass async:true to avoid timeout.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
industry | string | |
target_roles | array | |
workforce_size | number | |
ai_adoption_level | string | |
include_benchmarks | boolean |
vuln_exploitability_forecast4 paramsAs a CTO, assess the exploitability risk of CVEs using EPSS scores and cloud asset exposure data. Input a CVE ID (e.g., CVE-2021-44228) t…
As a CTO, assess the exploitability risk of CVEs using EPSS scores and cloud asset exposure data. Input a CVE ID (e.g., CVE-2021-44228) to receive exploitability likelihood, affected cloud services, and threat intelligence context. Returns structured risk metrics for prioritization. Sources: CVE NVD, OpenCVE, GitHub Advisories. Pass async:true to avoid timeout.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
cveId | string | |
cloudProvider | string | |
includeDetails | boolean |
vuln_patch_priority_engine4 paramsAs a CTO, quickly prioritize unpatched CVEs by combining exploitability scores (EPSS) with cloud asset criticality. Input a list of CVE I…
As a CTO, quickly prioritize unpatched CVEs by combining exploitability scores (EPSS) with cloud asset criticality. Input a list of CVE IDs and your AWS service types (e.g., EC2, RDS) to receive a ranked patching order with risk scores and estimated cloud impact. Uses public NVD, OpenCVE, and AWS pricing data. Ideal for vulnerability management and cloud security posture improvement.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
cveIds | array | List of CVE identifiers to analyze (e.g., ["CVE-2021-44228", "CVE-2023-3824"]) |
maxResults | number | Maximum number of prioritized CVEs to return (default: 10) |
awsServices | array | AWS service types affected by these CVEs (e.g., ["EC2", "RDS", "Lambda"]) |
x402_liquidity_monitor4 paramsMonitors real-time x402-USDC liquidity depth across 12 decentralized and centralized exchanges, providing slippage alerts and depth analy…
Monitors real-time x402-USDC liquidity depth across 12 decentralized and centralized exchanges, providing slippage alerts and depth analysis for CFO liquidity risk assessment. Inputs include slippage thresholds and exchange selection; outputs liquidity depth, price impact estimates, and warning flags. Essential for optimizing trade execution and managing liquidity exposure. Keywords: liquidity monitoring, slippage analysis, DEX/CEX depth, x402-USDC pair, CFO financial tooling.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
exchanges | array | List of exchanges to monitor (defaults to all 12 if empty) |
depthLevels | array | Liquidity depth levels to analyze (percentage from mid-price) |
slippageThreshold | number | Maximum acceptable slippage percentage (0-100) |
x402_payment_flow_analyzer5 paramsAs a CTO, analyze USDC payment flows involving x402 addresses to assess counterparty risk, trace transaction paths, and evaluate regulato…
As a CTO, analyze USDC payment flows involving x402 addresses to assess counterparty risk, trace transaction paths, and evaluate regulatory exposure. Input a wallet address or transaction hash to receive risk scores, flow diagrams, and compliance flags from Chainalysis and TRM Labs public APIs. Ideal for due diligence, fraud detection, and compliance reporting. Pass async:true to avoid timeout.
| Parameter | Type | Description |
|---|---|---|
async | boolean | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts. |
depth | number | Hops to trace in payment flow |
txHash | string | USDC transaction hash to trace |
address | string | Ethereum wallet address to analyze |
includeRiskScore | boolean | Include counterparty risk scoring |
Ready-made
Prompts
competitive_briefGenerate a board-ready competitive brief on a company using multi-source MCP tools (competitive_deep_dive, market_sizing, trend_watcher, competitor_intel).kyc_due_diligenceRun full KYC + corporate registry + court filings check on a company or individual (kyc_screener, corporate_registry_lookup, court_filings_multi, web_search_multilang).ma_target_screenPipeline M&A target screening: financials + IP + litigation + ESG (ma_deal_screener, patent_landscape, court_filings_multi, supplier_esg_audit, due_diligence_dossier).ai_act_readinessFull EU AI Act readiness assessment for an AI system (ai_governance_pilot or ai_governance_full_report_async, privacy_compliance_audit, sustainability_reporting_pilot for GPAI models).country_market_entryMarket entry brief for a country: regulations + tenders + clinical/IP landscape if applicable (ftg_country_study, ftg_country_regulations, gov_procurement_multi, corporate_registry_lookup, market_entrclimate_risk_portfolioClimate risk scoring for a portfolio of properties or assets (weather_climate_intel, carbon_roadmap, action_plan_esg, matrice_materialite).research_meta_reviewSystematic review meta-synthesis on a scientific question (sci_literature_search, patent_landscape, web_search_multilang).compliance_full_auditEnd-to-end compliance audit: GDPR + AI Act + ESRS + KYC + court filings (privacy_compliance_audit, ai_governance_pilot, esrs_narrative_builder, kyc_screener, court_filings_multi, matrice_materialite).
Readable data
Resources
Tools catalog with pricingComplete list of 143+ tools with tier, price (USDC), name, and description. Updated on server start.x402 pricing tiersFull x402 pricing grid T0-T6 (commodity $0.002 → batch flagship $1.50) with per-tool breakdown.OFAC SDN latest snapshotLatest OFAC Specially Designated Nationals list metadata — version, fetch date, entry count, checksum. Refreshed weekly.Combined sanctions metadataAggregated metadata across 6+ sanctions sources (OFAC/UN/EU/UK_HMT/SECO_CH/OSFI_CA/AUSTRAC_AU): entry counts, versions, overlap matrix.Last 24h metricsAnonymised server telemetry for the last 24 hours: total calls, error rate, average latency, top callers.Per-tool metricsPer-tool breakdown: call count, error count, avg/p50/p95 latency for the last 24 hours.External connectors healthHealth status of all external data connectors (Wikipedia, Yahoo Finance, EDGAR, court filings, patent, weather, …): last success timestamp, consecutive errors.Gapup-hub circuit breaker stateCircuit breaker state (CLOSED/OPEN/HALF_OPEN) per gapup-hub endpoint, with failure counts and last success/failure timestamps.Cache statisticsCache backend (redis|memory), hit/miss counters, size. Reflects REDIS_URL presence at server start.Tool aliases mapMap of canonical tool names to alternative keywords agents may use when searching the catalogue. Use to discover tools via synonyms.Deep health reportFull structured health report: build, telemetry, cache, external connectors, memory, disk, PM2 uptime. overall: healthy|degraded|unhealthy.Recent health alertsLast 20 alerts fired by the health monitor (P0/P1/P2), with severity, rule, message, timestamps.Job progress eventsRing buffer of the last 50 progress notifications for a given job_id. Replace {job_id} with the actual job identifier (e.g. gapup://jobs/cdd_1234567890_abc123/progress). Useful for agents that reconneTool deprecation noticesActive deprecation notices for tools in the deprecated or sunset phase. Agents should check this resource before building integrations on tools that may be sunset soon. Returns: total, deprecated_counActive A/B price experimentsList of active pricing A/B experiments (tool, variants, allocation_strategy, started_at). When an experiment is active on a tool, the effective price may differ from the static pricing grid. Results pPlatform uptime reportPlatform uptime report for the requested period (default 7d). Includes uptime_pct, incidents array, latency percentiles (p50/p95/p99), and per-service breakdown. Use ?period=24h|7d|30d|90d.Intent routing mapStatic mapping of intent patterns to recommended tools and pre-designed workflow chains. 15 pre-built chains covering the most frequent agent use cases: M&A due diligence, KYC/sanctions screening, ESGAgent cohort analysis — last 90 daysCohort retention analysis for the last 90 days grouped by signup_week. Includes per-cohort: agent_count, retention buckets (D1/D7/D30/D60/D90/D180), calls per agent (median/p25/p75), revenue_usd, churPerformance regression report — last 7 days vs prior weekWeek-over-week performance regression analysis per tool. Compares current 7-day window vs prior 7-day baseline on three axes: p95 latency (P1 alert if >+20%), error rate (P0 alert if >+5pts), traffic/