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230,000 tools. Last updated 2026-06-24 11:03

"Merchant Data Analysis Creation" matching MCP tools:

  • List merchant knowledge base documents (uploads + scraped URLs). Use to discover what raw sources exist for the LLM-wiki pattern. Pass `updatedAfter` for delta sync. Content bytes are fetched separately via GET /v6/merchant/ai/knowledge/{id}/content — this tool returns metadata only.
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  • Staged, read-only health diagnosis: server reachability -> merchant API key -> admin JWT -> payment readiness (wallets + listener workers). Returns ranked likely causes with exact fix commands for the first failing stage. Run this FIRST when anything PayRam-related fails.
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  • List AirShelf merchants you can request a quote from (name, slug, product count). Use the returned slug as the `merchant` argument to request_quote.
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  • Pre-payment clearance for agents. Call this BEFORE settling with a merchant over x402/AP2: give the merchant domain (optionally the amount and the price you expect to pay). Onyx assembles a single hard clearance — PROCEED / REVIEW / HOLD — from its Ed25519-signed observation log: Onyx-Verified status, live TLS/reachability/off-domain-redirect facts, domain age, and observed-vs-expected price. Facts with methods disclosed, signed and verifiable; Onyx never asserts the merchant is honest — it ensures you read real signed ground-truth before you move money. The check agents run at the payment chokepoint. (price: $0.05 USDC, tier: standard)
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  • [Analysis] Create a TREND bench report seeded from a reference benchResult plus a TrendReportTagsSelector — the backend pulls other benchResults from the same project that carry ALL the given tags and plots them on the trend axis. Mirrors the OctoPerf UI's trend creation flow (POST default-report then PUT with a TrendReportConfig). Returns the new report's id, name, description, benchResultIds (just the reference at create-time; the rest is materialised by the backend on each read), tags, lastModified and a `url` deep-link to the analysis page.
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  • Mandatory initialization step for any session against the Blockscout MCP server. Returns server reference data plus the `blockscout-analysis` skill pointer and URI resolution rule. MANDATORY FOR AI AGENTS: Call this tool first in every session. The returned payload identifies where the operating rules and analysis framework live and how to read referenced skill files before executing further tool calls.
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Matching MCP Servers

  • F
    license
    -
    quality
    C
    maintenance
    Provides comprehensive statistical analysis tools for industrial data including time series analysis, correlation calculations, stationarity tests, outlier detection, causal analysis, and forecasting capabilities. Enables data quality assessment and statistical modeling through a FastAPI-based MCP architecture.
    Last updated
    5

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  • French public-data MCP: cross-ref health, demographics, business, geo & real-estate.

  • data.ny.gov — New York State open-data Socrata portal

  • Update an existing official rules document. Use fetch_rules first to get the rules_token. UPDATABLE FIELDS: Only these fields can be modified: title, document_content, abbreviated_rules_shopify. NOT UPDATABLE: sweepstakes association, primary status, creation date, and any other field NOT listed above cannot be changed after creation. Do NOT tell the user they can update fields that are not supported by this endpoint. If they ask to change something not updatable, explain it cannot be modified after creation. # update_rule ## When to use Update an existing official rules document. Use fetch_rules first to get the rules_token. UPDATABLE FIELDS: Only these fields can be modified: title, document_content, abbreviated_rules_shopify. NOT UPDATABLE: sweepstakes association, primary status, creation date, and any other field NOT listed above cannot be changed after creation. Do NOT tell the user they can update fields that are not supported by this endpoint. If they ask to change something not updatable, explain it cannot be modified after creation. ## Pre-calls required 1. fetch_sweepstakes if the user gave you a sweepstakes name instead of a token ## Parameters to validate before calling - sweepstakes_token (string, required) — The sweepstakes token (UUID format) - rules_token (string, required) — The rules token to update (UUID format) - title (string, optional) — New title for the rules document (max 100 characters) - document_content (string, optional) — New HTML content for the rules (max 1,000,000 characters) - abbreviated_rules_shopify (string, optional) — Abbreviated rules for Shopify integration (max 1,000,000 characters)
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  • Mandatory initialization step for any session against the Blockscout MCP server. Returns server reference data plus the `blockscout-analysis` skill pointer and URI resolution rule. MANDATORY FOR AI AGENTS: Call this tool first in every session. The returned payload identifies where the operating rules and analysis framework live and how to read referenced skill files before executing further tool calls.
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  • Query marketing data and analyze any website — analytics, SEO, advertising, e-commerce, CRM, social media, site health & brand identity, competitive intelligence, content creation, and data visualization. Always use a single call, even when the question spans multiple data sources or channels (e.g., GA4 + Google Search Console + Google Ads + CRM). The server auto-routes internally to all needed sources and returns a combined response with the same depth and granularity as individual queries — do NOT split multi-source or multi-channel questions into separate calls.
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  • Retrieves bank account details and recent transaction history via a connected bank API integration. Returns a list of transactions for the specified account, or for all linked accounts when no account ID is provided. Use bank_accounts when an agent needs to inspect account balances, review recent spending, categorise transactions, or reconcile records against a specific bank account. Prefer open_banking_transactions when the integration uses a PSD2 Open Banking provider (TrueLayer) covering 300+ UK and European banks — open_banking_transactions returns richer transaction metadata including merchant names, categories, and running balances. Prefer stripe_payments when the source of payments is a Stripe merchant account rather than a retail bank account. This tool requires a valid bank API credential to be configured on the server.
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  • Retrieves payment and charge records from a Stripe merchant account. Returns a list of payment records filtered by the requested query type. Use stripe_payment_records when an agent needs to review recent charges, refunds, disputes, or subscription payments from a Stripe account. This is a lightweight variant of stripe_payments — it returns a simple records array rather than the full structured Stripe response with customer details, metadata, and pagination cursors. Prefer stripe_payments when the agent needs complete Stripe charge objects including customer IDs, payment method details, metadata fields, and processing status breakdowns. Prefer open_banking_transactions or bank_accounts when the payment data source is a bank account rather than a Stripe merchant account. Requires a Stripe API key to be configured on the server.
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  • List merchant knowledge base documents (uploads + scraped URLs). Use to discover what raw sources exist for the LLM-wiki pattern. Pass `updatedAfter` for delta sync. Content bytes are fetched separately via GET /v6/merchant/ai/knowledge/{id}/content — this tool returns metadata only.
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  • World Bank open data — 1600+ development indicators for 200+ countries. Returns most-recent values and 5-year trend for any indicator by country. Covers GDP, population, inflation, unemployment, FDI, debt, exports, CO₂, life expectancy, Gini, internet penetration, ease of doing business, and more. Accepts ticker-style aliases (gdp, inflation, unemployment) or full WB indicator codes. Sourced from api.worldbank.org — free, no key required. Use for country risk, macro comparisons, policy analysis, and development economics.
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  • Parse a receipt or invoice document into structured fields. Uses a quality AI model for accuracy. Returns: { invoice: { merchant, date (YYYY-MM-DD), line_items[], subtotal, tax, total }, cited: { <field>: { value, confidence: "high"|"medium"|"low", citations: [{ quote, paragraphs[] }] } } }
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  • Is AgentMarketSignal working? Check the real-time status of all 5 AI data pipelines (whale tracking, technical analysis, derivatives, narrative sentiment, market data) and the signal fusion engine. Returns last run times, durations, and any errors.
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  • Permanently delete a short creation request and all generated videos. Credits are NOT refunded. This action is irreversible.
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  • Query general salary data by job title and geographic location. Returns average salary, salary range, number of data points, and median compensation. Use for career planning, negotiation benchmarking, or compensation analysis across roles and regions.
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  • Retrieve WHOIS registration data: registrar, creation/expiry dates, nameservers, status. Use to verify domain ownership, age, expiration; for full audit use domain_report. Free: 30/hr, Pro: 500/hr. Returns {domain, whois: {registrar, creation_date, expiry_date, updated_date, name_servers, status, raw_length, error}, summary}.
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  • Get the detailed response for a specific product ID. Use this after discover_products or find_similar_products when you need merchant description, store info, all images, SKU-level availability variants, SKU, colorKey/size matrix, exact variant prices/compareAtPrice in the requested currency, and the direct link to purchase.
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  • Full account profile: email, Telegram link status, current balance, lifetime spend, total orders, active API keys, and account creation date.
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