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Card snapshot

docs.pinecone.io · 2026-07-09 10:53:35 UTC · a0305a9363fc9906e31457885983eee1820a1770585a47ac218f71e8f6be7196

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, semantic search, RAG systems, or knowledge retrieval features. Reach for Pinecone when you need to store embeddings, query by similarity, implement multitenancy with namespaces, or combine multiple search signals (semantic + keyword). Also use for managing indexes, upserting data, and optimizing search relevance in production AI applications.",
      "tags": [],
      "url": "https://docs.pinecone.io/.well-known/agent-skills/pinecone/skill.md"
    }
  ]
}