framefetch

FrameFetch One API/MCP call gives an agent clean video data across 6 platforms — metadata + insights, a Whisper transcript, and parametric frames (pick fps or…

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Что умеет

  • Framefetch Extract: Extract structured data from ONE public social-video URL (YouTube incl. Shorts, TikTok, Instagram Reels, Pinterest, Reddit). Purpose: turn a video link into metadata (title, author
  • Framefetch Platform Capabilities: Return a JSON matrix of which data types (metadata, insights, transcript, frames) each supported platform provides — YouTube, YouTube Shorts, TikTok, Instagram Reels,

Какие данные видит

Нужен ли аккаунт

Не нужен: сервер работает без входа

FrameFetch

One API/MCP call gives an agent clean video data across 6 platforms — metadata + insights, a Whisper transcript, and parametric frames (pick fps or exact timestamps → pushed to S3). YouTube (incl. Shorts), TikTok, Reddit, Instagram, Pinterest.

Agent-first: typed errors, refund-on-fail, result caching. Pay per call via x402 (USDC on Base) or Stripe.

Endpoints

  • POST /v1/extract — any combination of metadata/insights/transcript/frames in one call
  • POST /v1/metadata · /v1/transcript · /v1/frames — shortcuts
  • GET /v1/platforms — capability matrix · POST /v1/keys — free key + credit

Example

curl -X POST https://framefetch.net/v1/extract -H "Authorization: Bearer " -H "Content-Type: application/json" -d '{"url":"https://youtu.be/...","fields":["metadata","transcript"]}'

https://framefetch.net

Список инструментов сервера (2)

Технические названия из tools/list. Нужны только разработчикам.

framefetch_extractExtract structured data from ONE public social-video URL (YouTube incl. Shorts, TikTok, Instagram Reels, Pinterest, Reddit). Purpose: turn a video link into metadata (title, author, duration, date), insights (views/likes/comments), a transcript (captions, or Whisper when there are none — works on TikTok/Reddit too), and/or parametrically-sampled video frames. When to use: you have a video URL and need its text, stats, or frames for analysis, summarization, or grounding a model. When NOT to use: non-video pages, private/login-walled content, or bulk crawling (one URL per call). Returns: one JSON object containing only the requested fields plus a `cost` block (micro-USD). Frames come back as time-limited signed image URLs. Cost/latency: metadata is sub-cent and fast; transcript is billed per audio-minute and frames per frame (both also incur bandwidth) — request only the fields you need and downscale frames via `width` to control cost. Billing: a free tier covers light use; agents can also pay per call with x402 (USDC) with no account. Example: { "url": "https://www.youtube.com/watch?v=...", "fields": ["metadata","transcript"], "frames": { "mode": "fps", "fps": 1, "width": 480 } }
framefetch_platform_capabilitiesReturn a JSON matrix of which data types (metadata, insights, transcript, frames) each supported platform provides — YouTube, YouTube Shorts, TikTok, Instagram Reels, Pinterest, Reddit. Purpose: check what is available for a platform BEFORE calling framefetch_extract, so you only request supported fields. No input required.