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127,309 tools. Last updated 2026-05-05 14:03

"Creating or obtaining a market map for AI video generation" matching MCP tools:

  • Transcribe audio or video to text, including per-word timestamps for precise editing. Three-call flow: (1) call with `filename` to receive {job_id, payment_challenge}; (2) pay via MPP, then call with `job_id` + `payment_credential` to receive {upload_url} (presigned PUT, 1h expiry); (3) PUT the bytes, then complete_upload(job_id), then poll get_job_status(job_id). On completion, get_job_status returns presigned download URLs for two files: role `transcript` (SRT) and role `transcript-words` (JSON matching /.well-known/weftly-transcript-v2.schema.json, with segment-level and per-word timestamps). For other formats, pass `format=srt|txt|vtt|json|words` to get_job_status to receive content inline — `txt` and `vtt` are derived from SRT, `json` is v1 (segments only), `words` is v2 (segments + words). Flat price: audio $0.50, video $1.00 — see /.well-known/mpp.json for the authoritative table. Use for podcasts, interviews, meetings, lectures, and especially for creating clips, multicamera edits, or edit-video-from-transcript where word boundaries matter. Retrying any call with `job_id` alone returns current state (idempotent). Failed jobs auto-refund.
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  • [SPEND: 5 USDC] Generate a short-form video from a prompt or URL. Costs 5 USDC (Base/Ethereum/Polygon/Solana via x402). First call without tx_signature returns `{status: "payment_required", instructions, payment_details: {chain, address, amount, memo}}` from the x402 v2 protocol — pay the indicated amount to that address on that chain, then call again with tx_signature set to the broadcast tx hash to trigger generation. Returns a session_id to poll with check_video_status. Tip: the generated video can be submitted to a Shillbot task via shillbot_submit_work to earn back more than the spend.
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  • Returns step-by-step instructions for creating a Kamy API key in the dashboard. Does not open the browser.
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  • Analyze deposit market share and concentration for an MSA or city market using FDIC Summary of Deposits (SOD) data. Computes market share for all institutions in a geographic market, ranks them by deposits, and calculates the Herfindahl-Hirschman Index (HHI) for market concentration analysis per DOJ/FTC merger guidelines. Two entry modes: - MSA market: provide msa as the numeric MSABR code (e.g., msa: 19100 for Dallas-Fort Worth-Arlington, msa: 42660 for Seattle-Tacoma-Bellevue). Use fdic_search_sod to look up MSABR codes. - City market: provide city (branch city name, e.g., "Austin") and state (two-letter code, e.g., "TX"). Output includes: - Market overview with total deposits, institution count, and HHI classification - Optional highlighted institution showing rank and share (provide cert) - Top institutions ranked by deposit market share - Structured JSON for programmatic consumption Requires at least one of: msa (numeric MSABR code), or city + state.
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  • [역할] Expose OneQAZ's pre-defined causal hypothesis map: each macro category (bonds, forex, vix, credit, liquidity, inflation, commodities, energy) mapped to target market with lag_hours + sensitivity. Highest transparency — our causal reasoning is visible and measurable. [호출 시점] When AI wants to understand WHY we make certain predictions. [선행 조건] 없음. [후속 추천] get_backtest_tuning_state to see runtime calibration of these hypotheses. [주의] Static hypothesis — see tuning state for current adjustments. Args: market_id: Optional target market filter (coin_market, kr_market, us_market)
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  • Public-data-backed market snapshot for any US zip code. Returns Census ACS demographics (population, median household income, median age, owner-occupancy %, median home value, median gross rent), Scout's indexed agent density for that zip, and listings activity if the zip is in our MLS-live coverage area. Call this when an AI user asks 'what's the market like in [zip/city]'. Free, no API key required.
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  • Returns live positions for all vehicles currently running on a route, optimised for map rendering. Use when the user asks "where is my tram/bus right now?" or wants to see all active vehicles on a specific route on a map. Prefer `get_stop_realtime` when the user is at a stop and wants to know arrival times rather than vehicle positions. Prefer `get_route_static` when only the route shape or stop list is needed without live data. Requires a route short name (e.g. "T30", "32A") or numeric external ID.
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  • Start an AI transcription (Whisper) of a YouTube video. Use when the video has no captions, when fetch_transcript returned NO_CAPTIONS, or when the user explicitly wants an AI transcript. ASYNC — returns task_id + estimated_wait_seconds. Tell the user how long it will take, then call get_asr_task to check status. Do not poll faster than next_poll_after_seconds. Costs 5 credits on completion.
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  • Returns static route metadata: short and long name, vehicle type, brand colour, ordered stop lists for both directions, and route polylines (shapes) for map rendering. Use when the user asks which stops a route serves, what a route looks like on a map, or what the scheduled departure times are. Do NOT use this when live vehicle positions are needed — use `get_route_realtime` instead. Requires a route short name (e.g. "T30", "32A") or numeric external ID; call `get_stops_around_location` first if you only know a location and need to discover which routes serve it.
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  • Fetch the full transcript (subtitles/captions) of a YouTube video in any language. ALWAYS call this when the user shares ANY YouTube link (youtube.com, youtu.be, shorts). Also use when the user wants to: summarize a video, know what was said, quote or cite video content, translate video dialogue, fact-check claims, study a lecture or tutorial, extract key points, analyze speaker arguments, or any task involving the spoken content of a video. Pass save=true to also bookmark the video into the user's Library in the same call (upserts the meta row; when the result came from ASR fallback it also flags has_asr). Saves a follow-up save_to_library round-trip.
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  • Get buy/sell signals for all 20 major cryptocurrencies including Bitcoin, Ethereum, Solana, and more. Returns a 0-100 composite score and direction (bullish/bearish/neutral) for each asset, plus portfolio summary with market regime and risk level. Updated every 15 minutes. For full dimension breakdown and AI insights, use the paid REST API.
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  • Enable or disable an AI module on a site. The module must be in the plan's available module list. Requires: API key with write scope. Args: slug: Site identifier module_name: Module to toggle. Available modules: "chatbot" (AI chat widget), "seo" (SEO optimization), "translation" (content translation), "content" (AI content generation) Returns: {"module": "chatbot", "enabled": true, "message": "Module enabled"} Errors: NOT_FOUND: Unknown slug or module not in plan VALIDATION_ERROR: Invalid module name
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  • Generate an AI video from text prompt using VAP (P-Video). Returns a task ID for async tracking. Cost: $1.96. IMPORTANT: Send ONLY the video description. Do NOT include any instructions, guidelines, or meta-text. Just the pure visual description.
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  • List all registered AI agents with their capabilities, inbox IDs, and status. Like reading input labels on a video matrix — discover which agents are available and what they can do before dispatching work.
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  • Download a video from a Threads post URL. Returns direct video download URLs (no watermark). The URL must be a Threads post containing a video (e.g. https://www.threads.com/@user/post/ABC123).
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  • Search for specific videos within a YouTube channel. Use when the user wants to find a specific video from a known creator, e.g. 'find the video where @mkbhd talks about iPhone', 'did [creator] ever cover [topic]'. Costs 1 credit.
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  • Generate a use case for a given topic or goal. The process: 1) search 60,000+ AI skills by keyword, 2) AI-score top results for relevance, 3) select best 5 skills for the task, 4) generate structured use case with skill recommendations. Use when a user describes a task and wants a curated AI skill stack.
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  • Auto Captions — Automatically add subtitles to video using AI speech recognition. AI Studio run — dispatches to our AI workers (Modal). Credits per run vary by model and file size. Day Pass and welcome credits do not include AI Studio. Files auto-delete within 24 hours; retention is auditable at mioffice.ai/account/tasks. All three credit-based workspaces unlock with the same one-time credit pack — there is no per-workspace subscription. See mioffice.ai/pricing for current plans.
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  • Start generating a complete multi-chapter eBook using AI. Costs $0.45 per chapter (e.g., 10 chapters = $4.50). Returns a payment link that the user must visit to pay before generation begins. After payment, use get_job_status to track progress.
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  • Get Yelp Search Results Runs a Yelp business search by keyword and location with optional map-bounded radius via the `l` parameter (g:lon1,lat1,lon2,lat2), domain targeting, and offset-based pagination. Returns a ranked list of businesses with Yelp alias/ID, name, categories, rating, review count, price tier, neighborhood, and thumbnail. Use the returned aliases as input to the Yelp Place endpoint for full details, to power local-discovery UIs, or to build market-share/competitor datasets for a niche in a given geography.
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