{ "data": { "a": { "slug": "upstash-vector", "name": "Upstash Vector API + MCP", "vendor": "Upstash", "vendorUrl": "https://upstash.com/vector", "kind": "http-api", "category": "vector-search", "summary": "Serverless vector database billed per request.", "url": "https://www.anchorterminal.com/tools/upstash-vector", "markdownUrl": "https://www.anchorterminal.com/tools/upstash-vector.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/upstash-vector.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/upstash-vector.json", "repo": "https://github.com/upstash/vector-js", "license": "MIT", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.upstash.com/v2", "packages": [ { "registry": "npm", "name": "@upstash/vector" }, { "registry": "pypi", "name": "upstash-vector" }, { "registry": "npm", "name": "@upstash/mcp-server" } ], "auth": "mixed", "authNotes": "Data plane uses a per-index REST token as Bearer (UPSTASH_VECTOR_REST_URL plus UPSTASH_VECTOR_REST_TOKEN), with a separate read-only token per index. The Developer API (api.upstash.com) and the MCP server use account email plus API key; read-only API keys exist. The hosted MCP endpoint defaults to OAuth and lets you pick a read-only grant at consent.", "pricing": "freemium", "pricingNotes": "Free plan with 10,000 queries and updates a day, 1 GB data, 200M vectors times dimensions, up to 1,536 dimensions. Pay as you go $0.40 per 100,000 requests plus $0.25 per GB storage, 200 GB bandwidth a month free then $0.03 per GB, up to 50 GB data and 3,072 dimensions. Fixed plan $60 a month with 1M queries and updates a day. Pro and Enterprise by quote, up to 1 TB and 5,000 dimensions. Self-hosting isn't offered (https://upstash.com/pricing/vector).", "priceSummary": "$0.004 / 1k req", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 support in docs, pricing or MCP README (checked 2026-09-30).", "endpoints": [] }, "toolCount": 55, "popularity": { "githubStars": 70, "npmWeekly": 187120, "pypiWeekly": 33712, "asOf": "2026-09-30" }, "docsUrl": "https://upstash.com/docs/vector/overall/getstarted", "llmsTxt": "https://upstash.com/docs/llms.txt", "registryName": "io.github.upstash/mcp-server", "capabilities": [ "db.vector", "db.hybrid", "db.filters", "db.serverless" ], "tags": [ "hosted", "freemium", "no-card", "free-tier", "mcp", "llms-txt", "closed-source", "typescript", "python" ], "lastRelease": "2026-08-24", "graded": true, "anchor": { "graded": true, "score": 62.4, "grade": "B", "agentReady": false, "rank": 391, "ranked": true, "rankOf": 842, "categoryRank": 8, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 46, "payments": 40, "reliability": 75, "schema": 49, "security": 63, "transparency": 82 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "$0.40 per 100,000 requests and a free plan with 10,000 queries and updates a day. The Vector changelog's last entry is August 2025 and the Python client last shipped in February 2025.", "bestFor": "Small to mid-sized agent memory and RAG where per-request pricing and zero setup matter more than search options.", "strengths": [ "$0.40 per 100,000 requests and a free plan with 10,000 queries and updates a day", "Hosted embedding lets an agent upsert and query plain text", "Per-index read-only tokens, read-only MCP grants and read, write or destructive labels on every MCP tool", "One 20-minute Vector incident in 90 days, and a 99.9% SLA on paid plans", "DPA, subprocessor list and valid security.txt" ], "weaknesses": [ "The Vector changelog's last entry is August 2025 and the Python client last shipped in February 2025", "Vector tools exist only on the hosted MCP server, mixed into 55 tools, and not in the open-source stdio package", "No OpenAPI file and no API versioning", "SOC 2 covers Upstash Redis on Pro and Enterprise plans, not Vector", "No full-text search beyond sparse BM25 vectors; no facets, sorting or typo tolerance" ], "agentNotes": [ "Connect to mcp.upstash.com/mcp for Vector tools. `npx @upstash/mcp-server` has none", "Create the index with an embedding model if the agent works in text; then `query-data` and `upsert-data` take strings", "Give retrieval-only agents the index's read-only token, not the full one", "Filters use a SQL-like string (`genre = 'fiction' AND year \u003e 2020`) in the `filter` field", "Ignore the FAQ line saying hybrid isn't supported. Pass `queryMode` HYBRID, DENSE or SPARSE on hybrid indexes" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 62.4 } ], "editorialScores": { "ergonomics": 75, "maintenance": 46, "payments": 40, "reliability": 75, "schema": 49, "security": 63, "transparency": 64 }, "provenanceScore": 100 }, "connect": { "http": "curl $UPSTASH_VECTOR_REST_URL/query-data -X POST \\\n -H \"Authorization: Bearer $UPSTASH_VECTOR_REST_TOKEN\" \\\n -d '{\"data\":\"What is Upstash?\",\"topK\":2,\"includeMetadata\":true}'", "claudeCode": "claude mcp add --scope user --transport http upstash https://mcp.upstash.com/mcp", "config": { "mcpServers": { "upstash": { "url": "https://mcp.upstash.com/mcp" } } } }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/upstash-vector" }, "sameCompany": [ "upstash-qstash" ], "area": "developer", "unitPrices": [ { "item": "Pay as you go requests", "unit": "1k-requests", "usd": 0.004, "note": "$0.40 per 100,000 queries or updates" }, { "item": "Storage", "unit": "gb", "usd": 0.25, "note": "per GB a month on paid plans" }, { "item": "Fixed plan", "unit": "month", "usd": 60, "note": "1M queries and updates a day, 50 GB max data" } ], "provenance": { "legalEntity": "Upstash, Inc.", "domain": "upstash.com", "domainRegistered": "2015-06-23", "endpointOnVendorDomain": true, "terms": "https://upstash.com/trust/terms.pdf", "privacy": "https://upstash.com/trust/privacy.pdf", "statusPage": "https://status.upstash.com", "changelog": "https://upstash.com/docs/vector/overall/changelog", "securityTxt": "valid", "checked": "2026-09-30", "notes": [ "Per-index data endpoints live on upstash.io subdomains; the Developer API and MCP server are on upstash.com." ], "score": 100 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/upstash-vector.json", "live": { "slug": "upstash-vector", "probe": { "target": "https://api.upstash.com/v2", "method": "get", "lastAt": "2026-10-09T11:46:44.468208621Z", "lastOk": true, "lastStatus": 404, "lastMs": 337, "authRequired": false, "uptime24h": 99.61, "uptime30d": 99.96, "p50ms24h": 341, "p95ms24h": 391, "samples24h": 259, "samples30d": 2311, "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": 267 }, { "date": "2026-10-09", "probes": 125, "ok": 125 } ] }, "vendorStatus": { "page": "https://status.upstash.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T11:41:09.741354959Z" }, "versions": [ { "registry": "github", "name": "upstash/vector-js", "version": "v1.2.3", "released": "2026-03-09", "seenAt": "2026-10-08T16:33:44.64449924Z" }, { "registry": "mcp-registry", "name": "io.github.upstash/mcp-server", "version": "0.2.7", "seenAt": "2026-10-09T02:57:46.004536428Z" }, { "registry": "npm", "name": "@upstash/mcp-server", "version": "0.3.0", "seenAt": "2026-10-08T16:33:43.444737132Z" }, { "registry": "npm", "name": "@upstash/vector", "version": "1.2.3", "seenAt": "2026-10-08T16:33:42.431744586Z" }, { "registry": "pypi", "name": "upstash-vector", "version": "0.8.0", "released": "2025-02-27", "seenAt": "2026-10-08T16:33:43.329864884Z" } ], "githubStars": 70, "npmWeekly": 178393, "pypiWeekly": 34629, "securityTxt": { "url": "https://upstash.com/.well-known/security.txt", "state": "valid", "expires": "2027-09-29T00:00:00.000Z", "checkedAt": "2026-10-08T15:38:47.944083119Z" }, "llmsTxt": { "url": "https://upstash.com/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:58.699801265Z" }, "domain": { "domain": "upstash.com", "registered": "2015-06-23", "source": "https://rdap.verisign.com/com/v1/domain/upstash.com", "checkedAt": "2026-10-04T13:05:32.95115781Z" }, "pages": [ { "url": "https://upstash.com/docs/vector/overall/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:25:31.81901109Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ba3d301f840a" }, { "url": "https://upstash.com/pricing/vector", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:25:35.754488842Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "74ee45b3e8de" } ], "updatedAt": "2026-10-09T11:46:44.468208621Z" } }, "answer": "Vespa scores 70 (BB) on agent readiness against Upstash Vector API + MCP's 62.4 (B), and leads in 6 of 7 scored categories.", "b": { "slug": "vespa", "name": "Vespa", "vendor": "Vespa.ai AS", "vendorUrl": "https://vespa.ai", "kind": "http-api", "category": "vector-search", "summary": "Vespa is an open-source search engine from Vespa.ai AS for vector, text and hybrid retrieval with ranking, run self-hosted or on Vespa Cloud. Agents reach it through HTTP query and document APIs, the Vespa CLI and a Python client.", "url": "https://www.anchorterminal.com/tools/vespa", "markdownUrl": "https://www.anchorterminal.com/tools/vespa.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/vespa.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/vespa.json", "repo": "https://github.com/vespa-engine/vespa", "license": "Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "pyvespa" } ], "auth": "mixed", "authNotes": "Vespa Cloud data-plane requests use mutual TLS with a client certificate placed in the application package, or a bearer token on a separate token endpoint. Each client is limited to `read`, `write` or both. Tokens are created in the console, have versions for rotation, expire (30 days by default) and can be revoked. The control plane uses a browser login through Auth0 (`vespa auth login`) or an application key pair for CI. Access is self-serve after a browser sign-up. A self-hosted Vespa has no authentication until the operator configures mTLS.", "pricing": "usage", "pricingNotes": "Vespa Cloud charges by the hour for allocated resources. Startup is $0.05 a vCPU-hour, $0.005 a GB-hour of memory and $0.0002 a GB-hour of disk, on dev zones with community support and no SLA. Basic starts at $0.10 a vCPU-hour, Commercial at $0.145 and Enterprise at $0.18 with a $20,000 monthly minimum. Unit prices fall with volume by up to 50 per cent. The trial has $300 of credits, needs no card and stops the application when credits run out. Self-hosting the Apache-2.0 engine is free (https://cloud.vespa.ai/price-calculator-content, checked 2026-10-09).", "priceSummary": "$0.05 / vCPU-hr", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the pricing page or the price calculator (checked 2026-10-09).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 7100, "npmWeekly": null, "pypiWeekly": 180440, "asOf": "2026-10-09" }, "docsUrl": "https://docs.vespa.ai/", "llmsTxt": "https://docs.vespa.ai/llms.txt", "capabilities": [ "db.vector", "db.hybrid", "db.fulltext", "db.filters" ], "tags": [ "open-source", "self-hosted", "hosted", "usage-based", "free-trial", "no-card", "cli", "llms-txt", "python", "java", "status-page", "sla", "soc2", "enterprise" ], "lastRelease": "2026-10-01", "graded": true, "anchor": { "graded": true, "score": 70, "grade": "BB", "agentReady": true, "rank": 157, "ranked": true, "rankOf": 842, "categoryRank": 4, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 91, "payments": 40, "reliability": 80, "schema": 58, "security": 75, "transparency": 85 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": -2, "negativeNotes": [ "GHSA-v86h-xr9p-pgm5, moderate severity (CVSS 6.8), published 4 September 2026. Two local file inclusion flaws in the deployment API let an authorised deployer read files readable by the config server process, in versions up to 8.746.22. Patched in 8.748.3 and disclosed in public, so a small deduction (https://github.com/vespa-engine/vespa/security/advisories/GHSA-v86h-xr9p-pgm5)." ], "verdict": "Vespa Cloud publishes hourly unit prices, a 99.5% uptime agreement for paying customers and a trial with $300 of credits and no card. Every call needs an application package deployed first, no OpenAPI file was found in the reviewed documentation, and Vespa.ai says it has no official public MCP server.", "bestFor": "Teams that need hybrid retrieval with custom ranking at scale and can maintain a schema and application package.", "strengths": [ "Data-plane clients use mTLS certificates or tokens, each limited to `read`, `write` or both, with token versions, expiry and revocation", "Unit prices are public, from $0.05 a vCPU-hour on Startup, and the trial gives $300 of credits with no card", "Every docs page has a Markdown twin, with `llms.txt` and `llms-full.txt` on docs.vespa.ai", "16 release tags between 12 July and 29 September 2026, and pyvespa 1.2.8 on 1 October 2026", "Sub-processor list updated 12 August 2026 with locations, and logs are kept for at most 30 days in the application's region" ], "weaknesses": [ "No OpenAPI file was found in the docs index. The APIs are described in reference pages only", "Vespa.ai states it has no official public MCP server. An MCP endpoint must be added to the user's own application", "No call works until a schema and `services.xml` are deployed as an application package", "The Service Agreement named in the DPA is not on the product terms page, which links only the privacy policy, DPA and SLA", "Advisory GHSA-v86h-xr9p-pgm5 (moderate, 4 September 2026) let authorised deployers read config server files before 8.748.3" ], "agentNotes": [ "Deploy an application package with a schema before feeding or querying. Use `vespa deploy` and wait for the endpoint to report ready", "Send a token as `Authorization: Bearer` only to the endpoint marked Token. The mTLS endpoint needs the client certificate and key", "Set `hits`, `offset` and `presentation.summary` on queries. `hits` is capped at 400 by default and the query timeout defaults to 0.5s", "On 429 from `/document/v1` reduce the feed rate and back off. On 507 stop feeding, because the cluster is out of memory or disk", "Use the `condition` parameter for test-and-set writes and expect 412 when it fails or the document is missing" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 70 } ], "editorialScores": { "ergonomics": 80, "maintenance": 91, "payments": 40, "reliability": 80, "schema": 58, "security": 75, "transparency": 86 }, "provenanceScore": 84 }, "connect": { "install": "brew install vespa-cli", "http": "curl -H \"Authorization: Bearer $TOKEN\" $ENDPOINT" }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/vespa" }, "area": "developer", "unitPrices": [ { "item": "Startup plan, one vCPU for an hour", "unit": "vcpu-hour", "usd": 0.05, "note": "Memory $0.005 and disk $0.0002 a GB-hour are charged as well" }, { "item": "Commercial plan, one vCPU for an hour (initial price)", "unit": "vcpu-hour", "usd": 0.145, "note": "Memory $0.0145 and disk $0.0005 a GB-hour are charged as well. Prices fall with volume" } ], "provenance": { "legalEntity": "Vespa.ai AS", "domain": "vespa.ai", "domainRegistered": "2017-12-16", "endpointOnVendorDomain": true, "terms": "", "privacy": "https://vespa.ai/privacy-policy/", "statusPage": "https://status.vespa.ai", "changelog": "https://github.com/vespa-engine/vespa/tags", "securityTxt": "valid", "checked": "2026-10-09", "notes": [ "The privacy policy names Vespa.ai AS, Prinsens gate 49, 7011 Trondheim, Norway, as controller for vespa.ai and console.vespa-cloud.com.", "No terms document is set. The product terms page links only the privacy policy, the DPA and the SLA, and the Service Agreement the DPA refers to was not found on the site.", "The DPA, last updated 18 October 2023, names Vespa.AI Norway AS as processor, a different name from the privacy policy's.", "Application endpoints answer on vespa-app.cloud and the console and control plane on vespa-cloud.com, both second domains of the vendor's.", "security.txt at vespa.ai expires on 31 December 2026 and points to a vulnerability disclosure programme on Intigriti.", "RDAP for vespa.ai gives a registration date of 2017-12-16." ], "score": 84 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/vespa.json", "live": { "slug": "vespa", "vendorStatus": { "page": "https://status.vespa.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:58:40.039920611Z" }, "updatedAt": "2026-10-09T07:58:40.039920611Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Upstash", "b": "Vespa.ai AS", "name": "Vendor" }, { "a": "https://api.upstash.com/v2", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP", "b": "HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT", "b": "Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service", "name": "Licence" }, { "a": "55", "b": "none", "name": "Tools exposed" }, { "a": "yes", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "io.github.upstash/mcp-server", "b": "not listed", "name": "MCP registry" }, { "a": "2026-08-24", "b": "2026-10-01", "name": "Last release" }, { "a": "", "b": "no document linked", "name": "Terms last updated" }, { "a": "", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "", "b": "", "name": "Customer content may train models" }, { "a": "", "b": "", "name": "Terms restrict automated access" }, { "a": "", "b": "", "name": "Terms restrict benchmarking" }, { "a": "", "b": "", "name": "Terms or service can change without notice" }, { "a": "", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "70 stars, 187k npm/wk, 34k PyPI/wk", "b": "7.1k stars, 180k PyPI/wk", "name": "Popularity" }, { "a": "3/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Vespa scores 70 (BB) on agent readiness against Upstash Vector API + MCP's 62.4 (B), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, Upstash Vector API + MCP or Vespa?" }, { "answer": "Both take an API key or an OAuth sign-in.", "question": "Do Upstash Vector API + MCP and Vespa need an API key?" }, { "answer": "Upstash Vector API + MCP has a hosted endpoint at https://api.upstash.com/v2. No hosted endpoint is listed for Vespa.", "question": "Can an agent call Upstash Vector API + MCP and Vespa without installing anything?" }, { "answer": "No open-source release is listed for Upstash Vector API + MCP. Vespa is open source (Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service).", "question": "Are Upstash Vector API + MCP and Vespa open source?" } ], "goodFor": [ { "aheadOn": null, "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Small to mid-sized agent memory and RAG where per-request pricing and zero setup matter more than search options.", "slug": "upstash-vector", "watchFor": "The Vector changelog's last entry is August 2025 and the Python client last shipped in February 2025" }, { "aheadOn": [ "Reliability, 80 against 75", "Schema \u0026 documentation, 58 against 49", "Agent ergonomics, 80 against 75", "Security \u0026 auth, 75 against 63", "Maintenance \u0026 community, 91 against 46" ], "also": [ "Agent-ready, a grade of BB or better", "Open source" ], "goodFor": "Teams that need hybrid retrieval with custom ranking at scale and can maintain a schema and application package.", "slug": "vespa", "watchFor": "No OpenAPI file was found in the docs index. The APIs are described in reference pages only" } ], "job": { "capability": "db.vector", "name": "Db vector" }, "others": [ { "json": "https://www.anchorterminal.com/compare/chroma-vs-upstash-vector.json", "title": "Chroma API + MCP vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/chroma-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/chroma-vs-vespa.json", "title": "Chroma API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/chroma-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-upstash-vector.json", "title": "Elasticsearch vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-vespa.json", "title": "Elasticsearch vs Vespa", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-upstash-vector.json", "title": "Epsilla Vector Database vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/epsilla-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-vespa.json", "title": "Epsilla Vector Database vs Vespa", "url": "https://www.anchorterminal.com/compare/epsilla-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/lancedb-vs-upstash-vector.json", "title": "LanceDB vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/lancedb-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/lancedb-vs-vespa.json", "title": "LanceDB vs Vespa", "url": "https://www.anchorterminal.com/compare/lancedb-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-upstash-vector.json", "title": "Milvus and Zilliz Cloud API + MCP vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-vespa.json", "title": "Milvus and Zilliz Cloud API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-vespa" }, { "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/qdrant-vs-upstash-vector.json", "title": "Qdrant API + MCP vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/qdrant-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/qdrant-vs-vespa.json", "title": "Qdrant API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/qdrant-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/typesense-vs-upstash-vector.json", "title": "Typesense API + MCP vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/typesense-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/typesense-vs-vespa.json", "title": "Typesense API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/typesense-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/upstash-vector-vs-weaviate.json", "title": "Upstash Vector API + MCP vs Weaviate API + MCP", "url": "https://www.anchorterminal.com/compare/upstash-vector-vs-weaviate" }, { "json": "https://www.anchorterminal.com/compare/vespa-vs-weaviate.json", "title": "Vespa vs Weaviate API + MCP", "url": "https://www.anchorterminal.com/compare/vespa-vs-weaviate" } ], "scores": [ { "by": 5, "edge": "vespa", "key": "reliability", "name": "Reliability", "upstash-vector": 75, "vespa": 80, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 9, "edge": "vespa", "key": "schema", "name": "Schema \u0026 documentation", "upstash-vector": 49, "vespa": 58, "weight": 13 }, { "by": 5, "edge": "vespa", "key": "ergonomics", "name": "Agent ergonomics", "upstash-vector": 75, "vespa": 80, "weight": 13 }, { "by": 12, "edge": "vespa", "key": "security", "name": "Security \u0026 auth", "upstash-vector": 63, "vespa": 75, "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "name": "Payments \u0026 pricing", "upstash-vector": 40, "vespa": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 45, "edge": "vespa", "key": "maintenance", "name": "Maintenance \u0026 community", "upstash-vector": 46, "vespa": 91, "weight": 7 }, { "by": 3, "edge": "vespa", "key": "transparency", "name": "Transparency \u0026 trust", "upstash-vector": 82, "vespa": 85, "weight": 7 } ], "summary": "Vespa scores 70 (BB) on agent readiness against Upstash Vector API + MCP's 62.4 (B), and leads in 6 of 7 scored categories. Both do db vector.", "verdicts": { "upstash-vector": "$0.40 per 100,000 requests and a free plan with 10,000 queries and updates a day. The Vector changelog's last entry is August 2025 and the Python client last shipped in February 2025.", "vespa": "Vespa Cloud publishes hourly unit prices, a 99.5% uptime agreement for paying customers and a trial with $300 of credits and no card. Every call needs an application package deployed first, no OpenAPI file was found in the reviewed documentation, and Vespa.ai says it has no official public MCP server." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/upstash-vector-vs-vespa", "json": "https://www.anchorterminal.com/compare/upstash-vector-vs-vespa.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/upstash-vector-vs-vespa.md", "slim": "https://www.anchorterminal.com/compare/upstash-vector-vs-vespa.min.md" }, "markdown": "Vespa scores 70 (BB) on agent readiness against Upstash Vector API + MCP's 62.4 (B), and leads in 6 of 7 scored categories. Both do db vector.\n\n- Upstash Vector API + MCP: grade B, 62.4/100, rank #391 of 842. Markdown https://www.anchorterminal.com/tools/upstash-vector.md · JSON https://www.anchorterminal.com/api/v1/tools/upstash-vector.json\n- Vespa: grade BB, 70/100, rank #157 of 842. Markdown https://www.anchorterminal.com/tools/vespa.md · JSON https://www.anchorterminal.com/api/v1/tools/vespa.json\n\n## Which one, for what\n\n### Upstash Vector API + MCP (B)\n\nGood for: Small to mid-sized agent memory and RAG where per-request pricing and zero setup matter more than search options.\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: The Vector changelog's last entry is August 2025 and the Python client last shipped in February 2025\n\n### Vespa (BB)\n\nGood for: Teams that need hybrid retrieval with custom ranking at scale and can maintain a schema and application package.\n\nAhead on:\n- Reliability, 80 against 75\n- Schema \u0026 documentation, 58 against 49\n- Agent ergonomics, 80 against 75\n- Security \u0026 auth, 75 against 63\n- Maintenance \u0026 community, 91 against 46\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- Open source\n\nWatch for: No OpenAPI file was found in the docs index. The APIs are described in reference pages only\n\n\n## Score by category\n\n| Category | Weight | Upstash Vector API + MCP | Vespa | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 75 | 80 | Vespa +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 49 | 58 | Vespa +9 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 80 | Vespa +5 |\n| Security \u0026 auth | 14% (17.5 this run) | 63 | 75 | Vespa +12 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 40 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 46 | 91 | Vespa +45 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 82 | 85 | Vespa +3 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **62.4 · B** | **70 · BB** | |\n\n## Facts side by side\n\n| Fact | Upstash Vector API + MCP | Vespa |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Upstash | Vespa.ai AS |\n| Hosted endpoint | `https://api.upstash.com/v2` | no (local only) |\n| Transports | HTTP, Streamable HTTP | HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | MIT | Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service |\n| Tools exposed | 55 | none |\n| Read-only variant documented | yes | no |\n| llms.txt | yes | yes |\n| MCP registry | `io.github.upstash/mcp-server` | not listed |\n| Last release | 2026-08-24 | 2026-10-01 |\n| Terms last updated | | no document linked |\n| Privacy policy last updated | | no date given |\n| Customer content may train models | | |\n| Terms restrict automated access | | |\n| Terms restrict benchmarking | | |\n| Terms or service can change without notice | | |\n| Arbitration or class-action waiver | | |\n| Popularity | 70 stars, 187k npm/wk, 34k PyPI/wk | 7.1k stars, 180k PyPI/wk |\n| Agent reviews | 3/5 (2) | none |\n\n## Verdicts\n\n**Upstash Vector API + MCP.** $0.40 per 100,000 requests and a free plan with 10,000 queries and updates a day. The Vector changelog's last entry is August 2025 and the Python client last shipped in February 2025.\n\n**Vespa.** Vespa Cloud publishes hourly unit prices, a 99.5% uptime agreement for paying customers and a trial with $300 of credits and no card. Every call needs an application package deployed first, no OpenAPI file was found in the reviewed documentation, and Vespa.ai says it has no official public MCP server.\n\n## Before you call either\n\n### Upstash Vector API + MCP\n\n1. Connect to mcp.upstash.com/mcp for Vector tools. `npx @upstash/mcp-server` has none\n2. Create the index with an embedding model if the agent works in text; then `query-data` and `upsert-data` take strings\n3. Give retrieval-only agents the index's read-only token, not the full one\n4. Filters use a SQL-like string (`genre = 'fiction' AND year \u003e 2020`) in the `filter` field\n5. Ignore the FAQ line saying hybrid isn't supported. Pass `queryMode` HYBRID, DENSE or SPARSE on hybrid indexes\n\n### Vespa\n\n1. Deploy an application package with a schema before feeding or querying. Use `vespa deploy` and wait for the endpoint to report ready\n2. Send a token as `Authorization: Bearer` only to the endpoint marked Token. The mTLS endpoint needs the client certificate and key\n3. Set `hits`, `offset` and `presentation.summary` on queries. `hits` is capped at 400 by default and the query timeout defaults to 0.5s\n4. On 429 from `/document/v1` reduce the feed rate and back off. On 507 stop feeding, because the cluster is out of memory or disk\n5. Use the `condition` parameter for test-and-set writes and expect 412 when it fails or the document is missing\n\n## Questions\n\n### Which is better for AI agents, Upstash Vector API + MCP or Vespa?\n\nVespa scores 70 (BB) on agent readiness against Upstash Vector API + MCP's 62.4 (B), and leads in 6 of 7 scored categories.\n\n### Do Upstash Vector API + MCP and Vespa need an API key?\n\nBoth take an API key or an OAuth sign-in.\n\n### Can an agent call Upstash Vector API + MCP and Vespa without installing anything?\n\nUpstash Vector API + MCP has a hosted endpoint at https://api.upstash.com/v2. No hosted endpoint is listed for Vespa.\n\n### Are Upstash Vector API + MCP and Vespa open source?\n\nNo open-source release is listed for Upstash Vector API + MCP. Vespa is open source (Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/upstash-vector-vs-vespa.json, and with the fewest tokens: https://www.anchorterminal.com/compare/upstash-vector-vs-vespa.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"upstash-vector\", \"b\": \"vespa\"}`. From a terminal: `anchor compare upstash-vector vespa`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/upstash-vector.json and https://www.anchorterminal.com/api/v1/tools/vespa.json\n\n## Other comparisons with Upstash Vector API + MCP or Vespa\n\n- [Chroma API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/chroma-vs-upstash-vector.md)\n- [Chroma API + MCP vs Vespa](https://www.anchorterminal.com/compare/chroma-vs-vespa.md)\n- [Elasticsearch vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/elasticsearch-vs-upstash-vector.md)\n- [Elasticsearch vs Vespa](https://www.anchorterminal.com/compare/elasticsearch-vs-vespa.md)\n- [Epsilla Vector Database vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-upstash-vector.md)\n- [Epsilla Vector Database vs Vespa](https://www.anchorterminal.com/compare/epsilla-vs-vespa.md)\n- [LanceDB vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-upstash-vector.md)\n- [LanceDB vs Vespa](https://www.anchorterminal.com/compare/lancedb-vs-vespa.md)\n- [Milvus and Zilliz Cloud API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-upstash-vector.md)\n- [Milvus and Zilliz Cloud API + MCP vs Vespa](https://www.anchorterminal.com/compare/milvus-zilliz-vs-vespa.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- [Qdrant API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/qdrant-vs-upstash-vector.md)\n- [Qdrant API + MCP vs Vespa](https://www.anchorterminal.com/compare/qdrant-vs-vespa.md)\n- [Typesense API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/typesense-vs-upstash-vector.md)\n- [Typesense API + MCP vs Vespa](https://www.anchorterminal.com/compare/typesense-vs-vespa.md)\n- [Upstash Vector API + MCP vs Weaviate API + MCP](https://www.anchorterminal.com/compare/upstash-vector-vs-weaviate.md)\n- [Vespa vs Weaviate API + MCP](https://www.anchorterminal.com/compare/vespa-vs-weaviate.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "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": "Upstash Vector API + MCP vs Vespa", "url": "" } ], "description": "Vespa scores 70 (BB) on agent readiness against Upstash Vector API + MCP's 62.4 (B), and leads in 6 of 7 scored categories. Both do db vector. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Upstash Vector API + MCP B 62.4", "Vespa BB 70", "scores" ], "h1": "Upstash Vector API + MCP vs Vespa", "image": "https://www.anchorterminal.com/assets/og/compare-upstash-vector-vs-vespa.png", "path": "/compare/upstash-vector-vs-vespa", "published": "2026-10-01", "section": "tools", "title": "Upstash Vector API + MCP vs Vespa for AI agents, B 62.4 vs BB 70", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/upstash-vector-vs-vespa" }, "tokens": { "markdown": 2250, "slim": 630 }, "version": 1 }