{
  "data": {
    "a": {
      "slug": "meilisearch",
      "name": "Meilisearch",
      "vendor": "Meilisearch",
      "vendorUrl": "https://www.meilisearch.com",
      "kind": "http-api",
      "category": "vector-search",
      "summary": "Open-source search engine from Meili SAS in Paris with typo-tolerant keyword search, vector and hybrid search, filters and facets. It runs self-hosted or as Meilisearch Cloud, with a REST API, SDKs and an experimental built-in MCP route.",
      "url": "https://www.anchorterminal.com/tools/meilisearch",
      "markdownUrl": "https://www.anchorterminal.com/tools/meilisearch.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/meilisearch.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/meilisearch.json",
      "repo": "https://github.com/meilisearch/meilisearch",
      "license": "MIT for the Community Edition. Enterprise Edition code, which powers Meilisearch Cloud, is BUSL-1.1",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "npm",
          "name": "meilisearch"
        },
        {
          "registry": "pypi",
          "name": "meilisearch"
        }
      ],
      "auth": "api-key",
      "authNotes": "Every route except `/health` takes an API key as `Authorization: Bearer`. Keys are limited to named actions (`search`, `documents.add`, `indexes.get` and others) and to named indexes, with an optional expiry, and are created through `/keys` with the master key. Tenant tokens are short-lived tokens signed from a key that embed search filters for one user. A Cloud project is created by a person signed in at cloud.meilisearch.com, which generates the master key. The MCP route takes the same Bearer key and has no OAuth flow.",
      "pricing": "usage",
      "pricingNotes": "Meilisearch Cloud has a 14-day trial with no card. After that the usage-based Build plan includes 50,000 searches and 100,000 documents a month, then $0.40 per 1,000 searches and $0.30 per 1,000 documents. Resource-based projects pay hourly by instance size plus disk and bandwidth. Enterprise is by quote. The self-hosted Community Edition is free under MIT (https://www.meilisearch.com/pricing).",
      "priceSummary": "$30 / mo",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, the OpenAPI file or the pricing page (checked 2026-10-09).",
        "endpoints": []
      },
      "toolCount": 4,
      "popularity": {
        "githubStars": 59529,
        "npmWeekly": 752198,
        "pypiWeekly": null,
        "asOf": "2026-10-09"
      },
      "docsUrl": "https://www.meilisearch.com/docs",
      "llmsTxt": "https://www.meilisearch.com/llms.txt",
      "openapi": "https://www.meilisearch.com/docs/assets/release-assets/meilisearch-openapi.json",
      "capabilities": [
        "db.vector",
        "db.hybrid",
        "db.fulltext",
        "db.filters"
      ],
      "tags": [
        "hosted",
        "usage",
        "free-trial",
        "no-card",
        "open-source",
        "self-hosted",
        "mcp",
        "openapi",
        "llms-txt",
        "typescript",
        "python",
        "status-page",
        "soc2"
      ],
      "lastRelease": "2026-10-01",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 78.6,
        "grade": "A",
        "agentReady": true,
        "rank": 14,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 1,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 87,
          "maintenance": 93,
          "payments": 40,
          "reliability": 90,
          "schema": 93,
          "security": 67,
          "transparency": 74
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-09"
        },
        "negative": 0,
        "verdict": "Keyword, vector and hybrid search share one request, behind keys scoped by action and index and a published OpenAPI 3.1 file with 143 operations. The built-in MCP server is experimental and read-only, and Cloud access starts with a browser sign-up and a 14-day trial.",
        "bestFor": "Retrieval where typo-tolerant keyword relevance, filters and facets matter as much as vectors, with embeddings generated by the engine.",
        "strengths": [
          "Keyword, vector and hybrid search in one request, with `semanticRatio`, filters, facets, sorting and federated multi-index search",
          "OpenAPI 3.1 file for v1.54.3 with 143 operations, each described, checked daily in CI and attached to every release",
          "API keys limited to named actions and indexes with an expiry, plus tenant tokens that embed per-user search filters",
          "Status page shows one 16-minute outage of the San Francisco cluster in 90 days, on 24 July 2026",
          "Three minor releases between 3 August and 21 September 2026, and patch release v1.54.3 on 1 October 2026"
        ],
        "weaknesses": [
          "The `/mcp` route is an experimental feature that must be switched on, and its four tools carry no read-only annotations",
          "No per-plan request rate limit is published for Cloud, although the monitoring docs list rate limiting as a cause of failed calls",
          "The 99.9 per cent uptime SLA applies to Enterprise plans only",
          "The terms of use date from 18 March 2022 and forbid using the service for comparative analysis, which matters before any probe is run",
          "Cloud runs the Enterprise Edition, parts of which are under BUSL-1.1, and no audit log was found in the docs"
        ],
        "agentNotes": [
          "Create a key with only `search`, `documents.get` and `indexes.get` on the indexes needed. The default search key fails `listIndexes` and `describeIndex` over MCP",
          "Enable the `mcpRoute` experimental feature first. Until then `/mcp` answers `feature_not_enabled`",
          "For hybrid search send `hybrid` with an `embedder` name configured in the index settings and a `semanticRatio` from 0 to 1",
          "Writes return a `taskUid` and run asynchronously. Poll the task before searching for the new documents",
          "On 503 `too_many_search_requests`, wait for the `Retry-After` header (10 seconds) before retrying"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "A",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 78.6
          }
        ],
        "editorialScores": {
          "ergonomics": 87,
          "maintenance": 93,
          "payments": 40,
          "reliability": 90,
          "schema": 93,
          "security": 67,
          "transparency": 72
        },
        "provenanceScore": 76
      },
      "connect": {
        "install": "npm install meilisearch",
        "http": "curl \\\n  -X POST 'MEILISEARCH_URL/indexes/movies/search' \\\n  -H 'Authorization: Bearer API_KEY' \\\n  -H 'Content-Type: application/json' \\\n  --data-binary '{ \"q\": \"american ninja\" }'",
        "claudeCode": "claude mcp add --transport http meilisearch https://your-host/mcp \\\n  --header \"Authorization: Bearer YOUR_API_KEY\""
      },
      "letme": {
        "capability": "https://letme.dev/db.vector",
        "tool": "https://letme.dev/meilisearch"
      },
      "area": "developer",
      "unitPrices": [
        {
          "item": "Build plan, 50,000 searches and 100,000 documents included",
          "unit": "month",
          "usd": 30,
          "note": "Figure from the pricing page's estimator"
        },
        {
          "item": "Extra searches on the Build plan",
          "unit": "1k-requests",
          "usd": 0.4,
          "note": "Beyond the included 50,000 a month"
        },
        {
          "item": "Cloud bandwidth, resource-based projects",
          "unit": "gb",
          "usd": 0.15,
          "note": "May vary slightly by region"
        }
      ],
      "provenance": {
        "legalEntity": "Meili SAS",
        "domain": "meilisearch.com",
        "domainRegistered": "2018-09-19",
        "endpointOnVendorDomain": false,
        "terms": "https://www.meilisearch.com/terms-of-use",
        "privacy": "https://www.meilisearch.com/privacy-policy",
        "statusPage": "https://status.meilisearch.com",
        "changelog": "https://github.com/meilisearch/meilisearch/releases",
        "securityTxt": "valid",
        "checked": "2026-10-09",
        "notes": [
          "The terms of use and privacy policy name Meili, a simplified joint stock company at 52 boulevard de Sebastopol, 75003 Paris, registered in Paris under number 844 156 364. The repository licence names Meili SAS and the SLA names Meilisearch SAS.",
          "The terms of use cover the SaaS (Meilisearch Cloud) and the website in one document, in force since 18 March 2022. The privacy policy covers the website and the service, updated 17 March 2025.",
          "Cloud project hosts in the docs are on meilisearch.io (for example `ms-xxxxxxxxxxxx-xxxx.meilisearch.io`), a second domain. The console is at cloud.meilisearch.com.",
          "security.txt gives a support@ contact, expires 26 May 2027 and points its policy at trust.meilisearch.com, which we could not reach (TLS handshake failed from our network).",
          "RDAP for meilisearch.com gives a registration date of 2018-09-19."
        ],
        "score": 76
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/meilisearch.json",
      "live": {
        "slug": "meilisearch",
        "vendorStatus": {
          "page": "https://status.meilisearch.com",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-10T00:50:47.762685709Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "meilisearch/meilisearch",
            "version": "v1.54.3",
            "released": "2026-10-01",
            "seenAt": "2026-10-09T17:04:40.097716968Z"
          },
          {
            "registry": "npm",
            "name": "meilisearch",
            "version": "0.62.0",
            "seenAt": "2026-10-09T17:04:39.05018526Z"
          },
          {
            "registry": "pypi",
            "name": "meilisearch",
            "version": "0.43.0",
            "released": "2026-07-22",
            "seenAt": "2026-10-09T17:04:39.969460973Z"
          }
        ],
        "githubStars": 59532,
        "npmWeekly": 752198,
        "pypiWeekly": 161080,
        "pages": [
          {
            "url": "https://www.meilisearch.com/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-09T18:52:04.7066609Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "dcca1e629ab7"
          },
          {
            "url": "https://www.meilisearch.com/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-09T18:52:07.026020309Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "21c832192d64"
          },
          {
            "url": "https://www.meilisearch.com/terms-of-use",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-09T18:52:09.133371798Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "d3de0e9f5e21"
          }
        ],
        "updatedAt": "2026-10-10T00:50:47.762685709Z"
      }
    },
    "answer": "Meilisearch scores 78.6 (A) on agent readiness against Vespa's 70 (BB), and leads in 4 of 7 scored categories. Vespa leads on security \u0026 auth and transparency \u0026 trust.",
    "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": 165,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 5,
        "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": "2026-10-10T00:51:23.97066219Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "vespa-engine/vespa",
            "version": "v8.763.13",
            "released": "2026-10-05",
            "seenAt": "2026-10-09T17:27:18.515115733Z"
          },
          {
            "registry": "pypi",
            "name": "pyvespa",
            "version": "1.2.8",
            "released": "2026-10-01",
            "seenAt": "2026-10-09T17:27:18.319678267Z"
          }
        ],
        "githubStars": 7123,
        "pypiWeekly": 182010,
        "securityTxt": {
          "url": "https://vespa.ai/.well-known/security.txt",
          "state": "valid",
          "expires": "2026-12-31T11:00:00.000Z",
          "checkedAt": "2026-10-09T15:40:23.346956539Z"
        },
        "llmsTxt": {
          "url": "https://docs.vespa.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-09T14:02:58.474948058Z"
        },
        "pages": [
          {
            "url": "https://cloud.vespa.ai/price-calculator-content",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-09T18:33:55.644428567Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "ce920cc40204"
          },
          {
            "url": "https://vespa.ai/privacy-policy/",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-09T18:47:12.355239311Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "264881430bba"
          }
        ],
        "updatedAt": "2026-10-10T00:51:23.97066219Z"
      }
    },
    "facts": [
      {
        "a": "HTTP API",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Meilisearch",
        "b": "Vespa.ai AS",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "MIT for the Community Edition. Enterprise Edition code, which powers Meilisearch Cloud, is BUSL-1.1",
        "b": "Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service",
        "name": "Licence"
      },
      {
        "a": "4",
        "b": "none",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-01",
        "b": "2026-10-01",
        "name": "Last release"
      },
      {
        "a": "no date given",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "2025-03-17",
        "b": "no date given",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "60k stars, 752k npm/wk",
        "b": "7.1k stars, 180k PyPI/wk",
        "name": "Popularity"
      }
    ],
    "faq": [
      {
        "answer": "Meilisearch scores 78.6 (A) on agent readiness against Vespa's 70 (BB), and leads in 4 of 7 scored categories. Vespa leads on security \u0026 auth and transparency \u0026 trust.",
        "question": "Which is better for AI agents, Meilisearch or Vespa?"
      },
      {
        "answer": "Meilisearch needs an API key. Vespa takes an API key or an OAuth sign-in.",
        "question": "Do Meilisearch and Vespa need an API key?"
      },
      {
        "answer": "No hosted endpoint is listed for Meilisearch. No hosted endpoint is listed for Vespa.",
        "question": "Can an agent call Meilisearch and Vespa without installing anything?"
      },
      {
        "answer": "Yes. Meilisearch is open source (MIT for the Community Edition. Enterprise Edition code, which powers Meilisearch Cloud, is BUSL-1.1). Vespa is open source (Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service).",
        "question": "Are Meilisearch and Vespa open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 90 against 80",
          "Schema \u0026 documentation, 93 against 58",
          "Agent ergonomics, 87 against 80"
        ],
        "also": null,
        "goodFor": "Retrieval where typo-tolerant keyword relevance, filters and facets matter as much as vectors, with embeddings generated by the engine.",
        "slug": "meilisearch",
        "watchFor": "The `/mcp` route is an experimental feature that must be switched on, and its four tools carry no read-only annotations"
      },
      {
        "aheadOn": [
          "Security \u0026 auth, 75 against 67",
          "Transparency \u0026 trust, 85 against 74"
        ],
        "also": null,
        "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"
      }
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        "json": "https://www.anchorterminal.com/compare/chroma-vs-meilisearch.json",
        "title": "Chroma API + MCP vs Meilisearch",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/chroma-vs-vespa.json",
        "title": "Chroma API + MCP vs Vespa",
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        "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-meilisearch.json",
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      {
        "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-vespa.json",
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      {
        "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"
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      {
        "json": "https://www.anchorterminal.com/compare/lancedb-vs-meilisearch.json",
        "title": "LanceDB vs Meilisearch",
        "url": "https://www.anchorterminal.com/compare/lancedb-vs-meilisearch"
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      {
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        "title": "LanceDB vs Vespa",
        "url": "https://www.anchorterminal.com/compare/lancedb-vs-vespa"
      },
      {
        "json": "https://www.anchorterminal.com/compare/meilisearch-vs-milvus-zilliz.json",
        "title": "Meilisearch vs Milvus and Zilliz Cloud API + MCP",
        "url": "https://www.anchorterminal.com/compare/meilisearch-vs-milvus-zilliz"
      },
      {
        "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"
      },
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        "json": "https://www.anchorterminal.com/compare/meilisearch-vs-qdrant.json",
        "title": "Meilisearch vs Qdrant API + MCP",
        "url": "https://www.anchorterminal.com/compare/meilisearch-vs-qdrant"
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      {
        "json": "https://www.anchorterminal.com/compare/meilisearch-vs-typesense.json",
        "title": "Meilisearch vs Typesense API + MCP",
        "url": "https://www.anchorterminal.com/compare/meilisearch-vs-typesense"
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      {
        "json": "https://www.anchorterminal.com/compare/meilisearch-vs-upstash-vector.json",
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        "url": "https://www.anchorterminal.com/compare/meilisearch-vs-upstash-vector"
      },
      {
        "json": "https://www.anchorterminal.com/compare/meilisearch-vs-weaviate.json",
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      {
        "by": 10,
        "edge": "meilisearch",
        "key": "reliability",
        "meilisearch": 90,
        "name": "Reliability",
        "vespa": 80,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 35,
        "edge": "meilisearch",
        "key": "schema",
        "meilisearch": 93,
        "name": "Schema \u0026 documentation",
        "vespa": 58,
        "weight": 13
      },
      {
        "by": 7,
        "edge": "meilisearch",
        "key": "ergonomics",
        "meilisearch": 87,
        "name": "Agent ergonomics",
        "vespa": 80,
        "weight": 13
      },
      {
        "by": 8,
        "edge": "vespa",
        "key": "security",
        "meilisearch": 67,
        "name": "Security \u0026 auth",
        "vespa": 75,
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "key": "payments",
        "meilisearch": 40,
        "name": "Payments \u0026 pricing",
        "vespa": 40,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 2,
        "edge": "meilisearch",
        "key": "maintenance",
        "meilisearch": 93,
        "name": "Maintenance \u0026 community",
        "vespa": 91,
        "weight": 7
      },
      {
        "by": 11,
        "edge": "vespa",
        "key": "transparency",
        "meilisearch": 74,
        "name": "Transparency \u0026 trust",
        "vespa": 85,
        "weight": 7
      }
    ],
    "summary": "Meilisearch scores 78.6 (A) on agent readiness against Vespa's 70 (BB), and leads in 4 of 7 scored categories. Vespa leads on security \u0026 auth and transparency \u0026 trust. Both do vector search.",
    "verdicts": {
      "meilisearch": "Keyword, vector and hybrid search share one request, behind keys scoped by action and index and a published OpenAPI 3.1 file with 143 operations. The built-in MCP server is experimental and read-only, and Cloud access starts with a browser sign-up and a 14-day trial.",
      "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."
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  "markdown": "Meilisearch scores 78.6 (A) on agent readiness against Vespa's 70 (BB), and leads in 4 of 7 scored categories. Vespa leads on security \u0026 auth and transparency \u0026 trust. Both do vector search.\n\n- Meilisearch: grade A, 78.6/100, rank #14 of 950. Markdown https://www.anchorterminal.com/tools/meilisearch.md · JSON https://www.anchorterminal.com/api/v1/tools/meilisearch.json\n- Vespa: grade BB, 70/100, rank #165 of 950. Markdown https://www.anchorterminal.com/tools/vespa.md · JSON https://www.anchorterminal.com/api/v1/tools/vespa.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### Meilisearch (A)\n\nGood for: Retrieval where typo-tolerant keyword relevance, filters and facets matter as much as vectors, with embeddings generated by the engine.\n\nAhead on:\n- Reliability, 90 against 80\n- Schema \u0026 documentation, 93 against 58\n- Agent ergonomics, 87 against 80\n\nWatch for: The `/mcp` route is an experimental feature that must be switched on, and its four tools carry no read-only annotations\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- Security \u0026 auth, 75 against 67\n- Transparency \u0026 trust, 85 against 74\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 | Meilisearch | Vespa | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 90 | 80 | Meilisearch +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 93 | 58 | Meilisearch +35 |\n| Agent ergonomics | 13% (16.2 this run) | 87 | 80 | Meilisearch +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 67 | 75 | Vespa +8 |\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) | 93 | 91 | Meilisearch +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 74 | 85 | Vespa +11 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **78.6 · A** | **70 · BB** | |\n\n## Facts side by side\n\n| Fact | Meilisearch | Vespa |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Meilisearch | Vespa.ai AS |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | MIT for the Community Edition. Enterprise Edition code, which powers Meilisearch Cloud, is BUSL-1.1 | Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service |\n| Tools exposed | 4 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-01 | 2026-10-01 |\n| Terms last updated | no date given | no document linked |\n| Privacy policy last updated | 2025-03-17 | 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 | yes |  |\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 | 60k stars, 752k npm/wk | 7.1k stars, 180k PyPI/wk |\n\n## Verdicts\n\n**Meilisearch.** Keyword, vector and hybrid search share one request, behind keys scoped by action and index and a published OpenAPI 3.1 file with 143 operations. The built-in MCP server is experimental and read-only, and Cloud access starts with a browser sign-up and a 14-day trial.\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### Meilisearch\n\n1. Create a key with only `search`, `documents.get` and `indexes.get` on the indexes needed. The default search key fails `listIndexes` and `describeIndex` over MCP\n2. Enable the `mcpRoute` experimental feature first. Until then `/mcp` answers `feature_not_enabled`\n3. For hybrid search send `hybrid` with an `embedder` name configured in the index settings and a `semanticRatio` from 0 to 1\n4. Writes return a `taskUid` and run asynchronously. Poll the task before searching for the new documents\n5. On 503 `too_many_search_requests`, wait for the `Retry-After` header (10 seconds) before retrying\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, Meilisearch or Vespa?\n\nMeilisearch scores 78.6 (A) on agent readiness against Vespa's 70 (BB), and leads in 4 of 7 scored categories. Vespa leads on security \u0026 auth and transparency \u0026 trust.\n\n### Do Meilisearch and Vespa need an API key?\n\nMeilisearch needs an API key. Vespa takes an API key or an OAuth sign-in.\n\n### Can an agent call Meilisearch and Vespa without installing anything?\n\nNo hosted endpoint is listed for Meilisearch. No hosted endpoint is listed for Vespa.\n\n### Are Meilisearch and Vespa open source?\n\nYes. Meilisearch is open source (MIT for the Community Edition. Enterprise Edition code, which powers Meilisearch Cloud, is BUSL-1.1). 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/meilisearch-vs-vespa.json, and with the fewest tokens: https://www.anchorterminal.com/compare/meilisearch-vs-vespa.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"meilisearch\", \"b\": \"vespa\"}`. From a terminal: `anchor compare meilisearch vespa`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/meilisearch.json and https://www.anchorterminal.com/api/v1/tools/vespa.json\n\n## Other comparisons with Meilisearch or Vespa\n\n- [Chroma API + MCP vs Meilisearch](https://www.anchorterminal.com/compare/chroma-vs-meilisearch.md)\n- [Chroma API + MCP vs Vespa](https://www.anchorterminal.com/compare/chroma-vs-vespa.md)\n- [Elasticsearch vs Meilisearch](https://www.anchorterminal.com/compare/elasticsearch-vs-meilisearch.md)\n- [Elasticsearch vs Vespa](https://www.anchorterminal.com/compare/elasticsearch-vs-vespa.md)\n- [Epsilla Vector Database vs Meilisearch](https://www.anchorterminal.com/compare/epsilla-vs-meilisearch.md)\n- [Epsilla Vector Database vs Vespa](https://www.anchorterminal.com/compare/epsilla-vs-vespa.md)\n- [LanceDB vs Meilisearch](https://www.anchorterminal.com/compare/lancedb-vs-meilisearch.md)\n- [LanceDB vs Vespa](https://www.anchorterminal.com/compare/lancedb-vs-vespa.md)\n- [Meilisearch vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/meilisearch-vs-milvus-zilliz.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- [Meilisearch vs Qdrant API + MCP](https://www.anchorterminal.com/compare/meilisearch-vs-qdrant.md)\n- [Meilisearch vs Typesense API + MCP](https://www.anchorterminal.com/compare/meilisearch-vs-typesense.md)\n- [Meilisearch vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/meilisearch-vs-upstash-vector.md)\n- [Meilisearch vs Weaviate API + MCP](https://www.anchorterminal.com/compare/meilisearch-vs-weaviate.md)\n- [Milvus and Zilliz Cloud API + MCP vs Vespa](https://www.anchorterminal.com/compare/milvus-zilliz-vs-vespa.md)\n- [OpenSearch vs Vespa](https://www.anchorterminal.com/compare/opensearch-vs-vespa.md)\n- [Pinecone API + MCP vs Vespa](https://www.anchorterminal.com/compare/pinecone-vs-vespa.md)\n- [Qdrant API + MCP vs Vespa](https://www.anchorterminal.com/compare/qdrant-vs-vespa.md)\n- [Typesense API + MCP vs Vespa](https://www.anchorterminal.com/compare/typesense-vs-vespa.md)\n- [Upstash Vector API + MCP vs Vespa](https://www.anchorterminal.com/compare/upstash-vector-vs-vespa.md)\n- [Vespa vs Weaviate API + MCP](https://www.anchorterminal.com/compare/vespa-vs-weaviate.md)\n",
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