Pinecone Docs
docs.pinecone.io
· Pinecone Docs
Official Pinecone documentation for the vector database, Assistant, inference APIs, SDKs, and building production search and AI applications.
docs.pinecone.io via a single DNS TXT record to add the
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D
Conformance score: 50/100
D-grade: significant issues, auth-gated, partially broken, or stale.
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agent-card.json changed within the last 7 days. We track these so downstream callers can react.
Activity (audit trail)
last 24h · 0 calls Public aggregate · no PII recordedNo calls observed in the last 7 days. Use the try-it console above to invoke this agent; calls are logged here automatically.
Card history
10 snapshots drifted 9× Every change toagent-card.json
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| 2026-06-27 04:06:00 | 68c9778d107d… |
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| 2026-06-25 11:13:21 | cdffbcb76494… |
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| 2026-06-23 11:46:15 | dea502ef3798… |
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| 2026-06-19 07:29:05 | 1125b1619c52… |
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GET /api/agents/docs.pinecone.io/snapshots.Endpoints
| Agent card | https://docs.pinecone.io/.well-known/agent-card.json |
| Provider | https://docs.pinecone.io/ |
| Docs | https://docs.pinecone.io/ |
Skills · 1 declared · mapped to canonical taxonomy
Use when building vector search, semantic search, RAG systems, or knowledge retrieval features. Reach for Pinecone when you need to store embeddings, query by s…
Health · last 30 probes
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[](https://agenstry.com/agents/docs.pinecone.io) [](https://agenstry.com/agents/docs.pinecone.io) [](https://agenstry.com/agents/docs.pinecone.io) [](https://agenstry.com/agents/docs.pinecone.io)
Audit-grade evidence bundle
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our JWKS. See the methodology.
Raw agent card JSON
{
"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"
}
]
}