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 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 <key>" -H "Content-Type: application/json" -d '{"url":"https://youtu.be/...","fields":["metadata","transcript"]}' https://framefetch.net
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-03.
Scan details: Circle-IR · 2026-09-03 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- social-media
- Source
- Smithery
- Author type
- human
- Last scanned
- 2026-09-03
- Updated
- 2026-09-03
Use via MCP
Resolve framefetch from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.