Card snapshot
docs.pinecone.io
·
2026-07-15 10:39:20 UTC
·
e1636fbd2e1f0d2855912b5d776a8c2452ac211915e1f0343dcc62e7e7015ad2
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, knowledge retrieval, or AI agents that need to store and query embeddings. Reach for Pinecone when you need to index large volumes of vectors, implement multitenancy with namespaces, combine semantic search with metadata filtering, or integrate vector search into production applications.",
"tags": [],
"url": "https://docs.pinecone.io/.well-known/agent-skills/pinecone/skill.md"
}
]
}