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Card snapshot

docs.pinecone.io · 2026-06-24 09:46:42 UTC · 25d103f38a145883fb67ade493752ce7ecae4cf66593d0f8ab484213d98cfbc8

This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.

{
  "name": "Pinecone Docs",
  "description": "Official Pinecone documentation for the vector database, Assistant, inference APIs, SDKs, and building production search and AI applications.",
  "url": "https://docs.pinecone.io/",
  "version": "1.0.0",
  "protocolVersion": "0.3",
  "preferredTransport": "HTTP+JSON",
  "supportedInterfaces": [
    {
      "url": "https://docs.pinecone.io/",
      "protocolBinding": "HTTP+JSON",
      "protocolVersion": "0.3"
    }
  ],
  "provider": {
    "url": "https://docs.pinecone.io/",
    "organization": "Pinecone Docs"
  },
  "documentationUrl": "https://docs.pinecone.io/",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false
  },
  "defaultInputModes": [
    "text/plain"
  ],
  "defaultOutputModes": [
    "text/plain"
  ],
  "skills": [
    {
      "id": "pinecone",
      "name": "Pinecone",
      "description": "Use when building vector search applications, semantic search systems, RAG pipelines, recommendation engines, or full-text search systems. Reach for Pinecone when you need to store, index, and query vectors at scale with metadata filtering, hybrid search, or when you want integrated embedding models to handle vectorization automatically.",
      "tags": [],
      "url": "https://docs.pinecone.io/.well-known/agent-skills/pinecone/skill.md"
    }
  ]
}