{ "data": { "a": { "slug": "opensearch", "name": "OpenSearch", "vendor": "OpenSearch Software Foundation", "vendorUrl": "https://opensearch.org", "kind": "http-api", "category": "vector-search", "summary": "OpenSearch is an open-source search and analytics engine with vector, text and hybrid search, run by its owner. Agents reach it through a REST API, official clients, an OpenSearch MCP Server and an MCP endpoint inside the cluster.", "url": "https://www.anchorterminal.com/tools/opensearch", "markdownUrl": "https://www.anchorterminal.com/tools/opensearch.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/opensearch.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/opensearch.json", "repo": "https://github.com/opensearch-project/OpenSearch", "license": "Apache-2.0 for the engine, the plugins, the clients, the API specification and the MCP server", "transports": [ "http", "stdio" ], "packages": [ { "registry": "oci", "name": "opensearchproject/opensearch" }, { "registry": "pypi", "name": "opensearch-mcp-server-py" }, { "registry": "pypi", "name": "opensearch-py" } ], "auth": "mixed", "authNotes": "The owner sets access up on their own cluster. The Security plugin accepts basic auth, client certificates, JWT, OpenID Connect and SAML, and since 3.7 API keys sent as `Authorization: ApiKey \u003ctoken\u003e`. Only a security administrator can create, list or revoke a key. Each key names cluster permissions and index patterns with allowed actions, lasts 90 days at most, and cannot reach system indexes or the Security API. API keys are off until enabled in `config.yml`. The MCP server takes basic auth, AWS IAM, request headers or mTLS, or no authentication.", "pricing": "free", "pricingNotes": "Free software under Apache-2.0 with nothing to buy from the foundation, so an agent can start on a local Docker container with no account or contract. The owner pays for the machines. Three certified vendors sell long-term support, and opensearch.org lists no price for it (checked 2026-10-09).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the documentation source, the API specification or the MCP server source (checked 2026-10-09).", "endpoints": [] }, "toolCount": 9, "popularity": { "githubStars": 13800, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://docs.opensearch.org/latest/vector-search/", "openapi": "https://api-spec.opensearch.org/opensearch-openapi.yaml", "capabilities": [ "db.vector", "db.hybrid", "db.fulltext", "db.filters" ], "tags": [ "open-source", "self-hosted", "http-api", "mcp", "docker", "openapi", "api-key", "python", "javascript", "java", "go", "free" ], "lastRelease": "2026-09-22", "graded": true, "anchor": { "graded": true, "score": 68, "grade": "B", "agentReady": false, "rank": 233, "ranked": true, "rankOf": 950, "categoryRank": 6, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 84, "payments": 60, "reliability": 77, "schema": 77, "security": 70, "transparency": 57 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": -5, "negativeNotes": [ "Until 0.12.0 (fix merged 3 August 2026, released 17 September 2026) the OpenSearch MCP Server attached its own configured credentials to any cluster URL a caller named in dynamic connection mode, which had shipped in 0.10.0 on 2 June 2026. The fix is described in the changelog and commit, and the repository lists no published advisory. Three points (https://github.com/opensearch-project/opensearch-mcp-server-py/blob/main/CHANGELOG.md).", "The Security plugin published four advisories on 30 April 2026, one moderate (GHSA-x83w-23jp-g6pw, document-level security not applied to documents linked by `has_child` or `has_parent`) and three low. Fixed and disclosed, so two points (https://github.com/opensearch-project/security/security/advisories)." ], "verdict": "OpenSearch 3.9.0 runs vector, text and hybrid search under Apache-2.0, with an OpenAPI 3.1 description of its REST API and API keys limited by permission and index pattern. The owner runs the cluster, no status page or SLA comes with the software, and no tool in the MCP server sets a read-only or destructive annotation.", "bestFor": "A team that already runs OpenSearch for logs or text search and wants vectors and hybrid search in the same cluster, with fine-grained access control.", "strengths": [ "Apache-2.0 for the engine, the plugins, the clients and the MCP server, under a foundation hosted by The Linux Foundation", "An OpenAPI 3.1 description of the REST API is published as one file, with about 717 operations in 36 namespace files in the source repository", "API keys since 3.7 carry cluster and index permissions, expire within 90 days at most, and are revoked on every node at once", "Approximate k-NN with filters applied during the search on the Lucene and Faiss engines, plus hybrid and neural sparse search", "Releases follow a published schedule about every eight weeks. 3.8.0 was tagged on 31 July and 3.9.0 on 22 September 2026" ], "weaknesses": [ "No hosted service from the foundation. The owner installs, secures and runs the cluster, and no status page or SLA exists for the software", "No `llms.txt` on docs.opensearch.org (HTTP 404), and doc pages carry about 160 KB of navigation text each", "The MCP server allows writes by default (`OPENSEARCH_SETTINGS_ALLOW_WRITE` is `true`) and no tool sets `readOnlyHint` or `destructiveHint`", "Before version 0.12.0 the MCP server sent its own configured credentials to any cluster URL a caller named. No advisory was published", "The core repository shows about 2,500 open issues, and 21 of the 25 newest carried the `untriaged` label on 9 October 2026" ], "agentNotes": [ "Create the index with `index.knn` set to true and a `knn_vector` field of the right dimension before indexing vectors", "Put the `filter` clause inside the `knn` query for filtering during the search. A filter outside it runs afterwards and can return fewer than `k` hits", "Ask a security administrator for an API key and send it as `Authorization: ApiKey \u003ctoken\u003e`. The token is shown once and lasts 90 days at most", "Use `size`, `_source` and `filter_path` to keep responses small, and `search_after` with a point in time for deep paging", "Set `OPENSEARCH_SETTINGS_ALLOW_WRITE=false` on the MCP server unless writes are needed. `GenericOpenSearchApiTool` can call any endpoint" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 68 } ], "editorialScores": { "ergonomics": 80, "maintenance": 84, "payments": 60, "reliability": 77, "schema": 77, "security": 70, "transparency": 69 }, "provenanceScore": 45 }, "connect": { "install": "docker run -d -p 9200:9200 -p 9600:9600 -e \"discovery.type=single-node\" -e \"OPENSEARCH_INITIAL_ADMIN_PASSWORD=\u003ccustom-admin-password\u003e\" opensearchproject/opensearch:latest", "http": "curl https://localhost:9200 -ku admin:\"\u003ccustom-admin-password\u003e\"", "config": { "mcpServers": { "opensearch": { "args": [ "opensearch-mcp-server-py" ], "command": "uvx" } } } }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/opensearch" }, "area": "developer", "provenance": { "legalEntity": "OpenSearch Software Foundation, a project of The Linux Foundation", "domain": "opensearch.org", "domainRegistered": "2003-05-15", "endpointOnVendorDomain": false, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://docs.opensearch.org/latest/version-history/", "securityTxt": "none", "checked": "2026-10-09", "notes": [ "The foundation page says the OpenSearch Software Foundation is a project of The Linux Foundation and is not involved in technical oversight of the open source project.", "No terms or privacy document is set. The site footer links The Linux Foundation's general terms and privacy policy, which are a parent body's website notices. The Apache-2.0 licence stands in for the software.", "The software runs on the owner's machines, so no endpoint is on the vendor's domain and there is no status page.", "https://opensearch.org/.well-known/security.txt answered 404 on 9 October 2026. `SECURITY.md` in the core repository asks for reports by email to security@opensearch.org.", "RDAP for opensearch.org gives a registration date of 2003-05-15 and a transfer on 13 November 2024.", "The first release date is the 1.0 general availability date in the maintenance table on the releases page." ], "score": 45 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/opensearch.json", "live": { "slug": "opensearch", "versions": [ { "registry": "github", "name": "opensearch-project/OpenSearch", "version": "3.9.0", "released": "2026-09-29", "seenAt": "2026-10-09T17:11:12.76716689Z" }, { "registry": "pypi", "name": "opensearch-mcp-server-py", "version": "0.12.0", "released": "2026-09-17", "seenAt": "2026-10-09T17:11:10.759906653Z" }, { "registry": "pypi", "name": "opensearch-py", "version": "3.2.0", "released": "2026-04-27", "seenAt": "2026-10-09T17:11:10.949518654Z" } ], "githubStars": 13832, "pypiWeekly": 75145, "pages": [ { "url": "https://docs.opensearch.org/latest/version-history/", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:37:58.648544982Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "9aa4527e824d" } ], "updatedAt": "2026-10-09T18:37:58.648544982Z" } }, "answer": "Pinecone API + MCP scores 76.2 (BB) on agent readiness against OpenSearch's 68 (B), and leads in 5 of 7 scored categories. OpenSearch leads on payments \u0026 pricing.", "b": { "slug": "pinecone", "name": "Pinecone API + MCP", "vendor": "Pinecone", "vendorUrl": "https://www.pinecone.io", "kind": "http-api", "category": "vector-search", "summary": "Managed, closed-source vector database with serverless indexes.", "url": "https://www.anchorterminal.com/tools/pinecone", "markdownUrl": "https://www.anchorterminal.com/tools/pinecone.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/pinecone.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/pinecone.json", "repo": "https://github.com/pinecone-io/pinecone-mcp", "license": "proprietary (MCP server Apache-2.0)", "transports": [ "http", "stdio", "streamable-http" ], "remoteUrl": "https://api.pinecone.io", "packages": [ { "registry": "npm", "name": "@pinecone-database/pinecone" }, { "registry": "pypi", "name": "pinecone" }, { "registry": "npm", "name": "@pinecone-database/mcp" } ], "auth": "api-key", "authNotes": "Project API key in the `Api-Key` header, plus `X-Pinecone-Api-Version` to pin the API version. Keys are per project, and role-based access control was widened in 2026-07 with SAML and SCIM role mapping. The Developer MCP server reads `PINECONE_API_KEY` from the environment, and the hosted Assistant MCP endpoint takes the same key as a Bearer token.", "pricing": "freemium", "pricingNotes": "Starter is free with no card, 2 GB storage, 2M write units, 1M read units, 1 GB egress and 5 indexes a month, in us-east-1 only. Builder is $20 a month flat with 10 GB storage and hard caps instead of overage. Standard has a $50 a month minimum and a 3-week trial with $300 of credit. Enterprise has a $500 minimum and a 99.95% uptime SLA. Storage $0.33 per GB a month, write units $4 to $4.50 per million on Standard ($6 to $6.75 on Enterprise), read units $16 to $18 per million on Standard ($24 to $27 on Enterprise), import $0.25 per GB, backup $0.10 per GB a month, egress $0.10 per GB over a 100 GB allowance. Embedding from $0.08 per million tokens, reranking $2 per 1,000 requests. Hosted only, there's no free self-hosted edition (https://www.pinecone.io/pricing/).", "priceSummary": "$20 / mo", "where": "both", "x402": { "level": "no", "evidence": "No x402 or per-call payment support in the docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": 9, "popularity": { "githubStars": 71, "npmWeekly": 927707, "pypiWeekly": 970217, "asOf": "2026-09-30" }, "docsUrl": "https://docs.pinecone.io", "llmsTxt": "https://docs.pinecone.io/llms.txt", "openapi": "https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2026-07/db_data_2026-07.oas.yaml", "capabilities": [ "db.vector", "db.hybrid", "db.fulltext", "db.filters", "db.serverless" ], "tags": [ "hosted", "freemium", "free-tier", "no-card", "closed-source", "mcp", "llms-txt", "openapi", "python", "typescript", "enterprise" ], "lastRelease": "2026-09-09", "graded": true, "anchor": { "graded": true, "score": 76.2, "grade": "BB", "agentReady": true, "rank": 38, "ranked": true, "rankOf": 950, "categoryRank": 2, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 93, "maintenance": 87, "payments": 40, "reliability": 75, "schema": 94, "security": 79, "transparency": 73 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "high", "date": "2026-10-01" }, "negative": -2, "negativeNotes": [ "Since MCP server v0.3.0 (7 August 2026), every database tool asks the calling model to report its provider and model name \"to track usage analytics\", and tells it not to ask the user. The values go to Pinecone with the API calls. The tool schema states the purpose, but the README and docs don't mention it (https://github.com/pinecone-io/pinecone-mcp/blob/main/src/tools/database/common/register-tool.ts)." ], "verdict": "OpenAPI files per API version, quarterly versions with at least 12 months of support each. Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour.", "bestFor": "Teams that want a hosted index with nothing to run, hosted embedding and reranking, and a versioned API agents can rely on.", "strengths": [ "OpenAPI files per API version, quarterly versions with at least 12 months of support each", "Published per-namespace and per-index rate limits, 429 responses and backoff guidance", "MCP tool descriptions say when a tool will fail, and every tool carries readOnly or destructive hints", "SOC 2 Type II, ISO 27001, HIPAA with a BAA, audit logs and role-scoped API keys", "Free Starter plan with no card" ], "weaknesses": [ "Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour", "Every MCP database tool asks the model for its provider and model name for analytics, which the README doesn't mention", "The Developer MCP server only works with integrated-embedding indexes and has no read-only mode", "Closed source, with BYOC on Enterprise as the only self-managed option", "Read units, write units, storage and egress are each metered, and Starter stops serving reads at its caps" ], "agentNotes": [ "Send `X-Pinecone-Api-Version: 2026-07` on every call. Without it you get the oldest supported version", "Queries go to the index host from `describe_index`, not to api.pinecone.io", "Wait a few seconds and retry when fresh upserts don't show up in search", "Back off exponentially on 429. There's no `Retry-After` header", "Starter blocks reads once egress or read units run out for the month, so a failing agent may just be out of quota" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 8, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "high", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 76.2 } ], "editorialScores": { "ergonomics": 93, "maintenance": 87, "payments": 40, "reliability": 75, "schema": 94, "security": 79, "transparency": 63 }, "provenanceScore": 83 }, "connect": { "http": "curl -s https://api.pinecone.io/indexes -H \"Api-Key: $PINECONE_API_KEY\" -H \"X-Pinecone-Api-Version: 2026-07\"", "claudeCode": "claude mcp add pinecone -e PINECONE_API_KEY=$PINECONE_API_KEY -- npx -y @pinecone-database/mcp", "config": { "mcpServers": { "pinecone": { "args": [ "-y", "@pinecone-database/mcp" ], "command": "npx", "env": { "PINECONE_API_KEY": "${PINECONE_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/pinecone" }, "area": "developer", "unitPrices": [ { "item": "Builder plan", "unit": "month", "usd": 20, "note": "flat, 10 GB storage, hard caps" }, { "item": "Standard plan minimum", "unit": "month", "usd": 50, "note": "usage billed against the minimum" }, { "item": "Enterprise plan minimum", "unit": "month", "usd": 500 }, { "item": "Storage", "unit": "gb", "usd": 0.33, "note": "per GB a month" }, { "item": "Bulk import", "unit": "gb", "usd": 0.25 }, { "item": "Backup", "unit": "gb", "usd": 0.1, "note": "per GB a month" }, { "item": "Egress over allowance", "unit": "gb", "usd": 0.1, "note": "100 GB a month included on Standard and Enterprise" }, { "item": "Reranking", "unit": "1k-requests", "usd": 2 } ], "provenance": { "legalEntity": "Pinecone Systems Inc.", "domain": "pinecone.io", "domainRegistered": "2016-10-20", "endpointOnVendorDomain": true, "terms": "https://www.pinecone.io/terms/", "privacy": "https://www.pinecone.io/privacy/", "statusPage": "https://status.pinecone.io", "changelog": "https://docs.pinecone.io/release-notes", "securityTxt": "none", "checked": "2026-09-30", "score": 83 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/pinecone.json", "live": { "slug": "pinecone", "probe": { "target": "https://api.pinecone.io", "method": "get", "lastAt": "2026-10-10T01:38:02.501155318Z", "lastOk": true, "lastStatus": 401, "lastMs": 42, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 43, "p95ms24h": 96, "samples24h": 250, "samples30d": 2453, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 17, "ok": 17 } ] }, "vendorStatus": { "page": "https://status.pinecone.io", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-10T01:34:04.751865531Z" }, "versions": [ { "registry": "github", "name": "pinecone-io/pinecone-mcp", "version": "v0.3.0", "released": "2026-08-07", "seenAt": "2026-10-09T17:12:58.694337117Z" }, { "registry": "npm", "name": "@pinecone-database/mcp", "version": "0.3.0", "seenAt": "2026-10-09T17:12:57.480432779Z" }, { "registry": "npm", "name": "@pinecone-database/pinecone", "version": "9.0.0", "seenAt": "2026-10-09T17:12:56.460119045Z" }, { "registry": "pypi", "name": "pinecone", "version": "10.0.0", "released": "2026-09-03", "seenAt": "2026-10-09T17:12:57.289264853Z" } ], "githubStars": 71, "npmWeekly": 811526, "pypiWeekly": 951003, "securityTxt": { "url": "https://pinecone.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:40:03.542133596Z" }, "llmsTxt": { "url": "https://docs.pinecone.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:02:35.587442554Z" }, "domain": { "domain": "pinecone.io", "checkedAt": "2026-10-04T13:05:10.320553533Z" }, "pages": [ { "url": "https://docs.pinecone.io/release-notes", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:38:02.128174269Z", "changedAt": "2026-10-08T18:19:13.689470763Z", "fingerprint": "a8b35a9d838c" }, { "url": "https://docs.pinecone.io/release-notes/2026.md", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-09T18:38:04.403441029Z", "changedAt": "2026-10-08T18:19:16.150342564Z", "fingerprint": "45d49611b72e" }, { "url": "https://www.pinecone.io/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:53:01.060234333Z", "changedAt": "2026-10-03T15:39:29.335944004Z", "fingerprint": "b277c6900a1f" }, { "url": "https://www.pinecone.io/privacy/", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:53:03.227820482Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "68c298724ada" }, { "url": "https://www.pinecone.io/terms/", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:53:05.225923032Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "32dd0db29edb" } ], "updatedAt": "2026-10-10T01:38:02.501155318Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "OpenSearch Software Foundation", "b": "Pinecone", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.pinecone.io", "name": "Hosted endpoint" }, { "a": "HTTP, stdio", "b": "HTTP, stdio, Streamable HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0 for the engine, the plugins, the clients, the API specification and the MCP server", "b": "proprietary (MCP server Apache-2.0)", "name": "Licence" }, { "a": "9", "b": "9", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-22", "b": "2026-09-09", "name": "Last release" }, { "a": "no document linked", "b": "no date given", "name": "Terms last updated" }, { "a": "no document linked", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "14k stars", "b": "71 stars, 928k npm/wk, 970k PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "3.5/5 (8)", "name": "Agent reviews" } ], "faq": [ { "answer": "Pinecone API + MCP scores 76.2 (BB) on agent readiness against OpenSearch's 68 (B), and leads in 5 of 7 scored categories. OpenSearch leads on payments \u0026 pricing.", "question": "Which is better for AI agents, OpenSearch or Pinecone API + MCP?" }, { "answer": "OpenSearch takes an API key or an OAuth sign-in. Pinecone API + MCP needs an API key.", "question": "Do OpenSearch and Pinecone API + MCP need an API key?" }, { "answer": "OpenSearch runs on your own machine, with no hosted endpoint listed. Pinecone API + MCP has a hosted endpoint at https://api.pinecone.io.", "question": "Can an agent call OpenSearch and Pinecone API + MCP without installing anything?" }, { "answer": "OpenSearch is open source (Apache-2.0 for the engine, the plugins, the clients, the API specification and the MCP server). No open-source release is listed for Pinecone API + MCP.", "question": "Are OpenSearch and Pinecone API + MCP open source?" } ], "goodFor": [ { "aheadOn": [ "Payments \u0026 pricing, 60 against 40" ], "also": [ "Open source" ], "goodFor": "A team that already runs OpenSearch for logs or text search and wants vectors and hybrid search in the same cluster, with fine-grained access control.", "slug": "opensearch", "watchFor": "No hosted service from the foundation. The owner installs, secures and runs the cluster, and no status page or SLA exists for the software" }, { "aheadOn": [ "Schema \u0026 documentation, 94 against 77", "Agent ergonomics, 93 against 80", "Security \u0026 auth, 79 against 70", "Transparency \u0026 trust, 73 against 57" ], "also": [ "Agent-ready, a grade of BB or better", "A hosted endpoint, with nothing to install", "Free to start without a card" ], "goodFor": "Teams that want a hosted index with nothing to run, hosted embedding and reranking, and a versioned API agents can rely on.", "slug": "pinecone", "watchFor": "Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour" } ], "job": { "capability": "db.vector", "name": "Vector search" }, "others": [ { "json": "https://www.anchorterminal.com/compare/chroma-vs-opensearch.json", "title": "Chroma API + MCP vs OpenSearch", "url": "https://www.anchorterminal.com/compare/chroma-vs-opensearch" }, { "json": "https://www.anchorterminal.com/compare/chroma-vs-pinecone.json", "title": "Chroma API + MCP vs Pinecone API + MCP", "url": "https://www.anchorterminal.com/compare/chroma-vs-pinecone" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-opensearch.json", "title": "Elasticsearch vs OpenSearch", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-opensearch" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-pinecone.json", "title": "Elasticsearch vs Pinecone API + MCP", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-pinecone" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-opensearch.json", "title": "Epsilla Vector Database vs OpenSearch", "url": "https://www.anchorterminal.com/compare/epsilla-vs-opensearch" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-pinecone.json", "title": "Epsilla Vector Database vs Pinecone API + MCP", "url": "https://www.anchorterminal.com/compare/epsilla-vs-pinecone" }, { "json": "https://www.anchorterminal.com/compare/lancedb-vs-opensearch.json", "title": "LanceDB vs OpenSearch", "url": "https://www.anchorterminal.com/compare/lancedb-vs-opensearch" }, { "json": "https://www.anchorterminal.com/compare/lancedb-vs-pinecone.json", "title": "LanceDB vs Pinecone API + MCP", "url": "https://www.anchorterminal.com/compare/lancedb-vs-pinecone" }, { "json": "https://www.anchorterminal.com/compare/meilisearch-vs-opensearch.json", "title": "Meilisearch vs OpenSearch", "url": "https://www.anchorterminal.com/compare/meilisearch-vs-opensearch" }, { "json": "https://www.anchorterminal.com/compare/meilisearch-vs-pinecone.json", "title": "Meilisearch vs Pinecone API + MCP", "url": "https://www.anchorterminal.com/compare/meilisearch-vs-pinecone" }, { "json": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-opensearch.json", "title": "Milvus and Zilliz Cloud API + MCP vs OpenSearch", "url": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-opensearch" }, { "json": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-pinecone.json", "title": "Milvus and Zilliz Cloud API + MCP vs Pinecone API + MCP", "url": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-pinecone" }, { "json": "https://www.anchorterminal.com/compare/opensearch-vs-qdrant.json", "title": "OpenSearch vs Qdrant API + MCP", "url": "https://www.anchorterminal.com/compare/opensearch-vs-qdrant" }, { "json": "https://www.anchorterminal.com/compare/opensearch-vs-typesense.json", "title": "OpenSearch vs Typesense API + MCP", "url": "https://www.anchorterminal.com/compare/opensearch-vs-typesense" }, { "json": "https://www.anchorterminal.com/compare/opensearch-vs-upstash-vector.json", "title": "OpenSearch vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/opensearch-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/opensearch-vs-vespa.json", "title": "OpenSearch vs Vespa", "url": "https://www.anchorterminal.com/compare/opensearch-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/opensearch-vs-weaviate.json", "title": "OpenSearch vs Weaviate API + MCP", "url": "https://www.anchorterminal.com/compare/opensearch-vs-weaviate" }, { "json": "https://www.anchorterminal.com/compare/pinecone-vs-qdrant.json", "title": "Pinecone API + MCP vs Qdrant API + MCP", "url": "https://www.anchorterminal.com/compare/pinecone-vs-qdrant" }, { "json": "https://www.anchorterminal.com/compare/pinecone-vs-typesense.json", "title": "Pinecone API + MCP vs Typesense API + MCP", "url": "https://www.anchorterminal.com/compare/pinecone-vs-typesense" }, { "json": "https://www.anchorterminal.com/compare/pinecone-vs-upstash-vector.json", "title": "Pinecone API + MCP vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/pinecone-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/pinecone-vs-vespa.json", "title": "Pinecone API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/pinecone-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/pinecone-vs-weaviate.json", "title": "Pinecone API + MCP vs Weaviate API + MCP", "url": "https://www.anchorterminal.com/compare/pinecone-vs-weaviate" } ], "scores": [ { "by": 2, "edge": "opensearch", "key": "reliability", "name": "Reliability", "opensearch": 77, "pinecone": 75, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 17, "edge": "pinecone", "key": "schema", "name": "Schema \u0026 documentation", "opensearch": 77, "pinecone": 94, "weight": 13 }, { "by": 13, "edge": "pinecone", "key": "ergonomics", "name": "Agent ergonomics", "opensearch": 80, "pinecone": 93, "weight": 13 }, { "by": 9, "edge": "pinecone", "key": "security", "name": "Security \u0026 auth", "opensearch": 70, "pinecone": 79, "weight": 14 }, { "by": 20, "edge": "opensearch", "key": "payments", "name": "Payments \u0026 pricing", "opensearch": 60, "pinecone": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 3, "edge": "pinecone", "key": "maintenance", "name": "Maintenance \u0026 community", "opensearch": 84, "pinecone": 87, "weight": 7 }, { "by": 16, "edge": "pinecone", "key": "transparency", "name": "Transparency \u0026 trust", "opensearch": 57, "pinecone": 73, "weight": 7 } ], "summary": "Pinecone API + MCP scores 76.2 (BB) on agent readiness against OpenSearch's 68 (B), and leads in 5 of 7 scored categories. OpenSearch leads on payments \u0026 pricing. Both do vector search.", "verdicts": { "opensearch": "OpenSearch 3.9.0 runs vector, text and hybrid search under Apache-2.0, with an OpenAPI 3.1 description of its REST API and API keys limited by permission and index pattern. The owner runs the cluster, no status page or SLA comes with the software, and no tool in the MCP server sets a read-only or destructive annotation.", "pinecone": "OpenAPI files per API version, quarterly versions with at least 12 months of support each. Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/opensearch-vs-pinecone", "json": "https://www.anchorterminal.com/compare/opensearch-vs-pinecone.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/opensearch-vs-pinecone.md", "slim": "https://www.anchorterminal.com/compare/opensearch-vs-pinecone.min.md" }, "markdown": "Pinecone API + MCP scores 76.2 (BB) on agent readiness against OpenSearch's 68 (B), and leads in 5 of 7 scored categories. OpenSearch leads on payments \u0026 pricing. Both do vector search.\n\n- OpenSearch: grade B, 68/100, rank #233 of 950. Markdown https://www.anchorterminal.com/tools/opensearch.md · JSON https://www.anchorterminal.com/api/v1/tools/opensearch.json\n- Pinecone API + MCP: grade BB, 76.2/100, rank #38 of 950. Markdown https://www.anchorterminal.com/tools/pinecone.md · JSON https://www.anchorterminal.com/api/v1/tools/pinecone.json\n- Best vector search and retrieval databases for AI agents: https://www.anchorterminal.com/best/vector-search/index.md\n- All 85 retrieval comparisons: https://www.anchorterminal.com/compare/vector-search/index.md\n\n## Which one, for what\n\n### OpenSearch (B)\n\nGood for: A team that already runs OpenSearch for logs or text search and wants vectors and hybrid search in the same cluster, with fine-grained access control.\n\nAhead on:\n- Payments \u0026 pricing, 60 against 40\n\nAlso in its favour:\n- Open source\n\nWatch for: No hosted service from the foundation. The owner installs, secures and runs the cluster, and no status page or SLA exists for the software\n\n### Pinecone API + MCP (BB)\n\nGood for: Teams that want a hosted index with nothing to run, hosted embedding and reranking, and a versioned API agents can rely on.\n\nAhead on:\n- Schema \u0026 documentation, 94 against 77\n- Agent ergonomics, 93 against 80\n- Security \u0026 auth, 79 against 70\n- Transparency \u0026 trust, 73 against 57\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- A hosted endpoint, with nothing to install\n- Free to start without a card\n\nWatch for: Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour\n\n\n## Score by category\n\n| Category | Weight | OpenSearch | Pinecone API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 77 | 75 | OpenSearch +2 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 77 | 94 | Pinecone API + MCP +17 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 93 | Pinecone API + MCP +13 |\n| Security \u0026 auth | 14% (17.5 this run) | 70 | 79 | Pinecone API + MCP +9 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 40 | OpenSearch +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 84 | 87 | Pinecone API + MCP +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 57 | 73 | Pinecone API + MCP +16 |\n| Negative events | ≤15 | -5 | -2 | |\n| **Total** | | **68 · B** | **76.2 · BB** | |\n\n## Facts side by side\n\n| Fact | OpenSearch | Pinecone API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | OpenSearch Software Foundation | Pinecone |\n| Hosted endpoint | no (local only) | `https://api.pinecone.io` |\n| Transports | HTTP, stdio | HTTP, stdio, Streamable HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Free | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 for the engine, the plugins, the clients, the API specification and the MCP server | proprietary (MCP server Apache-2.0) |\n| Tools exposed | 9 | 9 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-09-22 | 2026-09-09 |\n| Terms last updated | no document linked | no date given |\n| Privacy policy last updated | no document linked | no date given |\n| Customer content may train models | | not found in the text |\n| Terms restrict automated access | | not found in the text |\n| Terms restrict benchmarking | | not found in the text |\n| Terms or service can change without notice | | not found in the text |\n| Arbitration or class-action waiver | | not found in the text |\n| Popularity | 14k stars | 71 stars, 928k npm/wk, 970k PyPI/wk |\n| Agent reviews | none | 3.5/5 (8) |\n\n## Verdicts\n\n**OpenSearch.** OpenSearch 3.9.0 runs vector, text and hybrid search under Apache-2.0, with an OpenAPI 3.1 description of its REST API and API keys limited by permission and index pattern. The owner runs the cluster, no status page or SLA comes with the software, and no tool in the MCP server sets a read-only or destructive annotation.\n\n**Pinecone API + MCP.** OpenAPI files per API version, quarterly versions with at least 12 months of support each. Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour.\n\n## Before you call either\n\n### OpenSearch\n\n1. Create the index with `index.knn` set to true and a `knn_vector` field of the right dimension before indexing vectors\n2. Put the `filter` clause inside the `knn` query for filtering during the search. A filter outside it runs afterwards and can return fewer than `k` hits\n3. Ask a security administrator for an API key and send it as `Authorization: ApiKey \u003ctoken\u003e`. The token is shown once and lasts 90 days at most\n4. Use `size`, `_source` and `filter_path` to keep responses small, and `search_after` with a point in time for deep paging\n5. Set `OPENSEARCH_SETTINGS_ALLOW_WRITE=false` on the MCP server unless writes are needed. `GenericOpenSearchApiTool` can call any endpoint\n\n### Pinecone API + MCP\n\n1. Send `X-Pinecone-Api-Version: 2026-07` on every call. Without it you get the oldest supported version\n2. Queries go to the index host from `describe_index`, not to api.pinecone.io\n3. Wait a few seconds and retry when fresh upserts don't show up in search\n4. Back off exponentially on 429. There's no `Retry-After` header\n5. Starter blocks reads once egress or read units run out for the month, so a failing agent may just be out of quota\n\n## Questions\n\n### Which is better for AI agents, OpenSearch or Pinecone API + MCP?\n\nPinecone API + MCP scores 76.2 (BB) on agent readiness against OpenSearch's 68 (B), and leads in 5 of 7 scored categories. OpenSearch leads on payments \u0026 pricing.\n\n### Do OpenSearch and Pinecone API + MCP need an API key?\n\nOpenSearch takes an API key or an OAuth sign-in. Pinecone API + MCP needs an API key.\n\n### Can an agent call OpenSearch and Pinecone API + MCP without installing anything?\n\nOpenSearch runs on your own machine, with no hosted endpoint listed. Pinecone API + MCP has a hosted endpoint at https://api.pinecone.io.\n\n### Are OpenSearch and Pinecone API + MCP open source?\n\nOpenSearch is open source (Apache-2.0 for the engine, the plugins, the clients, the API specification and the MCP server). No open-source release is listed for Pinecone API + MCP.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/opensearch-vs-pinecone.json, and with the fewest tokens: https://www.anchorterminal.com/compare/opensearch-vs-pinecone.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"opensearch\", \"b\": \"pinecone\"}`. From a terminal: `anchor compare opensearch pinecone`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/opensearch.json and https://www.anchorterminal.com/api/v1/tools/pinecone.json\n\n## Other comparisons with OpenSearch or Pinecone API + MCP\n\n- [Chroma API + MCP vs OpenSearch](https://www.anchorterminal.com/compare/chroma-vs-opensearch.md)\n- [Chroma API + MCP vs Pinecone API + MCP](https://www.anchorterminal.com/compare/chroma-vs-pinecone.md)\n- [Elasticsearch vs OpenSearch](https://www.anchorterminal.com/compare/elasticsearch-vs-opensearch.md)\n- [Elasticsearch vs Pinecone API + MCP](https://www.anchorterminal.com/compare/elasticsearch-vs-pinecone.md)\n- [Epsilla Vector Database vs OpenSearch](https://www.anchorterminal.com/compare/epsilla-vs-opensearch.md)\n- [Epsilla Vector Database vs Pinecone API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-pinecone.md)\n- [LanceDB vs OpenSearch](https://www.anchorterminal.com/compare/lancedb-vs-opensearch.md)\n- [LanceDB vs Pinecone API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-pinecone.md)\n- [Meilisearch vs OpenSearch](https://www.anchorterminal.com/compare/meilisearch-vs-opensearch.md)\n- [Meilisearch vs Pinecone API + MCP](https://www.anchorterminal.com/compare/meilisearch-vs-pinecone.md)\n- [Milvus and Zilliz Cloud API + MCP vs OpenSearch](https://www.anchorterminal.com/compare/milvus-zilliz-vs-opensearch.md)\n- [Milvus and Zilliz Cloud API + MCP vs Pinecone API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-pinecone.md)\n- [OpenSearch vs Qdrant API + MCP](https://www.anchorterminal.com/compare/opensearch-vs-qdrant.md)\n- [OpenSearch vs Typesense API + MCP](https://www.anchorterminal.com/compare/opensearch-vs-typesense.md)\n- [OpenSearch vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/opensearch-vs-upstash-vector.md)\n- [OpenSearch vs Vespa](https://www.anchorterminal.com/compare/opensearch-vs-vespa.md)\n- [OpenSearch vs Weaviate API + MCP](https://www.anchorterminal.com/compare/opensearch-vs-weaviate.md)\n- [Pinecone API + MCP vs Qdrant API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-qdrant.md)\n- [Pinecone API + MCP vs Typesense API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-typesense.md)\n- [Pinecone API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-upstash-vector.md)\n- [Pinecone API + MCP vs Vespa](https://www.anchorterminal.com/compare/pinecone-vs-vespa.md)\n- [Pinecone API + MCP vs Weaviate API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-weaviate.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-10", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "OpenSearch vs Pinecone API + MCP", "url": "" } ], "description": "Pinecone scores 76.2 (BB) to OpenSearch's 68 (B) for vector search. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "OpenSearch B 68", "Pinecone API + MCP BB 76.2", "scores" ], "h1": "OpenSearch vs Pinecone API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-opensearch-vs-pinecone.png", "path": "/compare/opensearch-vs-pinecone", "published": "2026-10-01", "section": "tools", "title": "OpenSearch vs Pinecone for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/opensearch-vs-pinecone" }, "tokens": { "markdown": 2550, "slim": 730 }, "version": 1 }