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640,871 tools. Updated 2026-10-05 10:36

"Understanding Unstructured Data or Concepts" matching MCP tools:

  • Keyword search over a local Markdown index for langchain, llamaindex, ollama, or xrpl; returns compact chunks and never live-crawls. Use for concepts, symbols, or questions; hitCount 0 means no match — shorten the query. Do not use for stack traces (diagnose_framework_error), import/package lookup (resolve_symbol), or copy-paste current syntax (fetch_latest_syntax). Paid tools/call: $0.001 USDC or 1000 drops XRP.
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  • Heista's creative direction engine — same engine the Creative Director specialist runs internally, exposed over MCP. ONE-SHOT: give a brief, get N finished creative outputs. For back-and-forth refinement, or output shapes the `medium` enum below does not cover, use chat_with_creative_worlds instead. OUTPUT SHAPE switches on the `medium` arg: • omitted → N territory cards (default exploration). Each card sits on different psychology / craft / feel / world axis coordinates so the set spans the creative space rather than orbiting one insight. Card has: name, campaign line, 5-8 sentence pitch, one-sentence strategic bet, resolved axis state names, creative-director rationale. • `tvc` → N TVC scripts (15-90s — hook, arc, resolve, sound design, end line). • `billboard` / `ooh` / `print` → N out-of-home concepts (visual concept + line + placement rationale). • `social` → N social-video concepts (hook + format type + middle beat + payoff, optimised for Reels / TikTok / Shorts). • `activation` / `experiential` → N activation concepts (space design + user journey + peak moment + takeaway artifact). • `audio` → N sonic / radio concepts (sonic scene + voice + audio arc). • `campaign` → N full campaign platforms (insight → big idea → strategy → visual world → production roadmap). The engine can also produce manifesto / copy, naming, packaging, PR stunts, content series, brand positioning, partnerships — these output shapes are NOT in the medium enum, so use chat_with_creative_worlds when the user wants one of those. USE WHEN: user says "give me ideas / options / directions / territories", "what angles work for...", "show me three / five ways to...", "write a TVC for...", "draft billboard concepts for...", "I need fresh thinking on...". DO NOT USE to refine one existing direction (use chat tool), to critique work, for OKRs / internal docs / strategy decks, or anything outside advertising creative direction. INPUTS: brief (the creative problem, free text), count (2-6 concepts), optional brand_id (from list_brands or any create_powersource_* — when provided the engine grounds output in the brand's buyer tensions, voice, and selling points), optional medium (above), optional lens_hint (apply a playbook or signature move as a creative constraint), idempotency_key (safely retryable for 5 minutes). Returns the finished creative output as narrative text PLUS a structured array of resolved axis coordinates for programmatic use. Metered — typically 3-15 credits per call depending on count and brand context size. Charged after success on actual token usage.
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  • Paid ($0.006 USDC). Pull the fields you define out of unstructured text as JSON. Anything the text does not state comes back null, never invented. Use to turn emails, invoices, contracts or listings into structured data. To get a web page's text first use genesis402_web_extract. The field descriptions steer the extraction, so include units and formats (e.g. "ISO date", "number in USD"). Returns one JSON object with exactly your keys, each holding the extracted value or null. Payment: call once without payment_signature to get the exact price quote (nothing is charged or signed), then call again with the signed payment to receive the result and settlement details.
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  • NO AUTH / PUBLIC / READ-ONLY. Resolves one shared parameter preset for a dataset, returning native variables and expressions to use in /timeseries or /runs request bodies. Use this first for common natural-language concepts such as 2 metre temperature or 10 metre wind instead of guessing dataset-native codes such as TMP. This tool does not execute the request, query weather values, or return forecast data.
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  • Build a task-specific, token-budgeted context pack from the most relevant pages: lexical rank, human-reviewed knowledge preferred, stale/deprecated concepts penalized, plus the top hits' link neighbors. Use it before multi-page product or coding work instead of many search/get_page calls.
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  • One call, pick your field groups — resolves a slug OR any identifier and returns exactly the groups you ask for, instead of chaining get_provider + get_provider_rating + get_provider_artifacts + get_provider_onboarding. Groups: profile, onboarding, artifacts, rating, insights. Understanding plan — the base groups moved with the rest of the discovery layer on 2026-08-31. Priced B2 (cross-catalog synthesis) — $0.05 per call under pay-as-you-go; included in Understanding and Influence. See apis://prices.
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  • Oregon DMV MCP — live wait times at all 60 Oregon DMV field offices, plus the office

  • Turn documents into structured, AI-ready data by parsing, enriching, chunking, and embedding.

  • Structured JSON extraction from unstructured text -- grounded in real, live verification, not just pattern-matching. Pulls requested fields, nulls anything missing, never guesses. Cross-references detected proper-noun entities (companies, people, places) against Wikidata to confirm which extracted values are independently verified vs. unconfirmed. SPENDS your balance -- requires authentication (OAuth). Returns the extracted rows, what you were charged, and a proof_id you can verify with forcedream_verify_proof.
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  • START HERE for market-level questions. Every scored population of providers in the catalog — tags, industries, regions, areas and VC portfolios — as one browsable index. Filter by kind, minimum population, or promotion tier (report/brief/data). Then call cohort_stats for the distribution, cohort_rankings for the leaderboard. Priced B1 (single-entity synthesis) — $0.01 per call under pay-as-you-go; included in Understanding and Influence. See apis://prices.
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  • AUTHORITATIVE full XBRL fundamentals dump for a US public company. Send the company as `cik` — that argument takes a TICKER ("NVDA") or a CIK ("320193"), and `ticker` / `ticker_or_cik` are accepted as aliases for it. Returns every reported financial metric (hundreds of concepts: revenue, net income, assets, liabilities, EPS, cash flow lines, segment breakdowns) with annual and historical values pulled straight from the company's SEC filings — the official numbers, not estimates. Use when you need the complete fundamental picture vs. one metric (for one metric use edgar_company_concept). Leads with latest_annual — revenue, net income, assets, cash, EPS for the most recent fiscal year, resolved to whichever XBRL concept the filer currently reports under — and flags retired concepts (e.g. a pre-ASC-606 Revenues tag) as stale so a 2010 figure is never mistaken for current. Large payload; agents typically use this once to discover available concepts then narrow to edgar_company_concept for follow-up queries. For just the headline figures plus the recent filings list, edgar_company_snapshot is the smaller one-call answer.
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  • Get aggregate statistics about missions on the HomeVisto platform. Returns total counts, status breakdown, and average bounty information. Useful for understanding platform activity.
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  • Search supported XBRL financial concepts by keyword, statement group, or taxonomy. Use before secedgar_get_financials, secedgar_compare_companies, or secedgar_fetch_frames to discover the right friendly name, or pass a raw XBRL tag (e.g., "NetIncomeLoss") to reverse-lookup which friendly names map to it. Empty search with no filters returns the full catalog.
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  • Read-only. Use first when the agent needs Dreamlit product guidance, prompting guidance, approved workspace context, project setup, schema hints, workflow state, or relevant app URLs. Returns a compact context pack with concepts, recommended tool flow, actor/workspace/project data, optional authoring context, optional workflow context, and appUrls. Do not use this to create, update, publish, or unpublish workflows.
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  • Simulate int8 or int4 quantization of float32 embedding vectors. Reduces storage by 4x (int8) or 8x (int4). Returns quantized values, scale factor, and precision loss (MSE). Useful for understanding vector DB compression trade-offs.
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  • Check subscription status, plan details, billing cycle, and feature access. Useful for understanding what the business can and cannot do on their current plan.
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  • Get XBRL-structured financial facts for a company (revenue, operating income, net income, cash, assets, etc.). Accepts common-name aliases ('revenue', 'eps') OR XBRL concepts ('Revenues', 'EarningsPerShareDiluted'). Returns one row per (fiscal_year, fiscal_period), preferring latest-filed when amendments exist.
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  • Turn unstructured text (emails, invoices, listings, bios) into structured JSON conforming to your JSON Schema — reply is parse-validated with an automatic retry, so you get JSON or a clean failure. $0.01/call via x402.
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  • Delete an angle. Its concepts are deleted with it; ads keep their stamp (dangling but queryable). Scoped to the active Space — see set_active_space to switch, or pass space_id to override for this one call.
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    Destructive
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  • Fetch the full Markdown of one document by its site path (for example /docs/concepts/embeddings-101), as returned by search_docs.
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  • Map an API name to the current package, install line, import, and call shape (ChatOpenAI, create_agent, VectorStoreIndex, xrpToDrops, …). Use when you know the symbol but not where it lives. Prefer search_ai_framework_docs for concepts and fetch_latest_syntax for topic snippets. Paid tools/call: $0.001 USDC or 1000 drops XRP; catalog-backed.
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  • Retrieve the full profile and complete parliamentary membership history of a specific MEP by their numeric CODICT identifier. Returns the MEP's name, date of birth, gender, and all committee, political group, intergroup, and delegation memberships with start/end dates and roles. Use the meps.list tool to look up MEP identifiers. Useful for understanding an MEP's committee responsibilities, political affiliations over time, and interparliamentary delegation work. Data source: European Parliament Open Data API v2 — CC BY 4.0, no auth required.
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