{
  "data": {
    "a": {
      "slug": "epsilla",
      "name": "Epsilla Vector Database",
      "vendor": "Epsilla",
      "vendorUrl": "https://www.epsilla.com",
      "kind": "http-api",
      "category": "vector-search",
      "summary": "Open-source (GPL-3.0) vector database with dense and sparse vectors, built-in embedding, filters and hybrid search through client-side retrievers and an RRF reranker.",
      "url": "https://www.anchorterminal.com/tools/epsilla",
      "markdownUrl": "https://www.anchorterminal.com/tools/epsilla.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/epsilla.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/epsilla.json",
      "repo": "https://github.com/epsilla-cloud/vectordb",
      "license": "GPL-3.0",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://dispatch.epsilla.com/api/v3",
      "packages": [
        {
          "registry": "pypi",
          "name": "pyepsilla"
        },
        {
          "registry": "npm",
          "name": "epsillajs"
        }
      ],
      "auth": "api-key",
      "authNotes": "Epsilla Cloud uses a project API key in the X-API-Key header, plus project ID and database ID in the path. Databases must be created in the web console; the docs say client-side creation is coming. Self-hosted Docker has no authentication by default.",
      "pricing": "freemium",
      "pricingNotes": "Plans cover the whole agent platform. Free $0 (1 project, 1 knowledge base, 10M vector storage, 50 messages a month). Starter $29 a month (1 GB vector storage, 500 messages). Professional $249 a month (10 GB, 5,000 messages). AI Concierge $2,499 a month. Enterprise by quote. Extra vector storage $18 per GB a month. Self-hosted vector database is free software plus your own infrastructure (https://www.epsilla.com/pricing).",
      "priceSummary": "$29 / mo",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402 support in docs or pricing (checked 2026-09-30).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 875,
        "npmWeekly": 75,
        "pypiWeekly": 125,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://epsilla-inc.gitbook.io/epsilladb/epsilla-vector-database/readme-1",
      "llmsTxt": "https://epsilla-inc.gitbook.io/llms.txt",
      "capabilities": [
        "db.vector",
        "db.hybrid",
        "db.filters"
      ],
      "tags": [
        "hosted",
        "freemium",
        "free-tier",
        "open-source",
        "self-hosted",
        "local",
        "python",
        "typescript",
        "llms-txt"
      ],
      "lastRelease": "2025-11-29",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 36,
        "grade": "F",
        "agentReady": false,
        "rank": 439,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 9,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 47,
          "maintenance": 8,
          "payments": 30,
          "reliability": 55,
          "schema": 36,
          "security": 25,
          "transparency": 65
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": -3,
        "negativeNotes": [
          "The official Python cloud client, last released as pyepsilla 0.3.15 on 19 October 2025, sends every request to Epsilla Cloud with TLS certificate verification turned off (`verify=False`), so the `X-API-Key` header can be intercepted on a hostile network. Still unfixed on the main branch (https://github.com/epsilla-cloud/epsilla-python-client/blob/main/pyepsilla/cloud/client.py)."
        ],
        "verdict": "GPL-3.0 server you can run from one Docker image. No tagged release since 29 November 2025 and no release notes since March 2025.",
        "strengths": [
          "GPL-3.0 server you can run from one Docker image",
          "Dense and sparse vectors with built-in embedding and an RRF reranker for hybrid retrieval",
          "Free plan with no card",
          "Status page with 100% uptime bars over 90 days"
        ],
        "weaknesses": [
          "No tagged release since 29 November 2025 and no release notes since March 2025",
          "The Python cloud client disables TLS certificate verification",
          "Cloud databases can't be created through the API, so an agent can't provision one",
          "No OpenAPI file, no documented errors and no published rate limits",
          "Pricing is set by agent-platform plans, not by vector workload"
        ],
        "agentNotes": [
          "List databases with `GET /api/v3/project/{project_id}/vectordb/list`, then load one to get its public endpoint",
          "Hybrid search is assembled client-side with `as_search_engine().add_retriever(...).set_reranker(type=\"rrf\")`",
          "If you use pyepsilla against the cloud, patch or wrap it to verify TLS",
          "Ask a person to create the database in the console first. The API can't"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 1.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "F",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 36
          }
        ],
        "editorialScores": {
          "ergonomics": 47,
          "maintenance": 8,
          "payments": 30,
          "reliability": 55,
          "schema": 36,
          "security": 25,
          "transparency": 48
        },
        "provenanceScore": 82
      },
      "connect": {
        "http": "curl \"https://dispatch.epsilla.com/api/v3/project/$EPSILLA_PROJECT_ID/vectordb/list\" \\\n  -H \"X-API-Key: $EPSILLA_API_KEY\""
      },
      "letme": {
        "capability": "https://letme.dev/db.vector",
        "tool": "https://letme.dev/epsilla"
      },
      "area": "developer",
      "unitPrices": [
        {
          "item": "Starter plan",
          "unit": "month",
          "usd": 29,
          "note": "1 GB vector storage, 5 knowledge bases, 500 messages"
        },
        {
          "item": "Professional plan",
          "unit": "month",
          "usd": 249,
          "note": "10 GB vector storage, 50 knowledge bases, 5,000 messages"
        },
        {
          "item": "Extra vector storage",
          "unit": "gb",
          "usd": 18,
          "note": "per GB a month"
        }
      ],
      "provenance": {
        "legalEntity": "Epsilla, Inc.",
        "domain": "epsilla.com",
        "domainRegistered": "2023-04-23",
        "endpointOnVendorDomain": true,
        "terms": "https://www.epsilla.com/tos",
        "privacy": "https://www.epsilla.com/privacy",
        "statusPage": "https://status.epsilla.com",
        "changelog": "https://epsilla-inc.gitbook.io/epsilladb/release-notes",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "Legal entity from the privacy policy. Docs are hosted on GitBook (epsilla-inc.gitbook.io); docs.epsilla.com redirects there."
        ],
        "score": 82
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/epsilla.json",
      "live": {
        "slug": "epsilla",
        "probe": {
          "target": "https://dispatch.epsilla.com/api/v3",
          "method": "get",
          "lastAt": "2026-10-04T23:48:07.99375108Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 262,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 259,
          "p95ms24h": 300,
          "samples24h": 272,
          "samples30d": 1100,
          "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": 270,
              "ok": 270
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.epsilla.com",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-04T21:40:00.415276859Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "epsilla-cloud/vectordb",
            "version": "v0.3.16",
            "released": "2025-03-09",
            "seenAt": "2026-10-04T16:26:37.69817481Z"
          },
          {
            "registry": "npm",
            "name": "epsillajs",
            "version": "0.3.6",
            "seenAt": "2026-10-04T16:26:36.870819861Z"
          },
          {
            "registry": "pypi",
            "name": "pyepsilla",
            "version": "0.3.15",
            "released": "2025-10-19",
            "seenAt": "2026-10-04T16:26:36.68120251Z"
          }
        ],
        "githubStars": 875,
        "npmWeekly": 209,
        "pypiWeekly": 125,
        "securityTxt": {
          "url": "https://epsilla.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:52.023874345Z"
        },
        "llmsTxt": {
          "url": "https://epsilla-inc.gitbook.io/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:45.636438699Z"
        },
        "domain": {
          "domain": "epsilla.com",
          "registered": "2023-04-23",
          "source": "https://rdap.verisign.com/com/v1/domain/epsilla.com",
          "checkedAt": "2026-10-04T13:07:56.952566042Z"
        },
        "pages": [
          {
            "url": "https://epsilla-inc.gitbook.io/epsilladb/release-notes",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-04T15:44:32.072692957Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "6d0e200232c0"
          },
          {
            "url": "https://www.epsilla.com/pricing",
            "kind": "pricing",
            "status": 304,
            "checkedAt": "2026-10-04T15:50:11.195402663Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "2440ab556210"
          },
          {
            "url": "https://www.epsilla.com/privacy",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-10-04T15:50:13.218114863Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "3127bbbcc668"
          },
          {
            "url": "https://www.epsilla.com/tos",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-04T15:50:15.230528873Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "931209b06508"
          }
        ],
        "updatedAt": "2026-10-04T23:48:07.99375108Z"
      }
    },
    "b": {
      "slug": "milvus-zilliz",
      "name": "Milvus and Zilliz Cloud API + MCP",
      "vendor": "Zilliz",
      "vendorUrl": "https://zilliz.com",
      "kind": "http-api",
      "category": "vector-search",
      "summary": "Milvus is the open-source (Apache-2.0, LF AI and Data) vector database, run embedded as Milvus Lite, standalone or distributed on Kubernetes.",
      "url": "https://www.anchorterminal.com/tools/milvus-zilliz",
      "markdownUrl": "https://www.anchorterminal.com/tools/milvus-zilliz.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/milvus-zilliz.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/milvus-zilliz.json",
      "repo": "https://github.com/milvus-io/milvus",
      "license": "Apache-2.0",
      "transports": [
        "http",
        "stdio",
        "streamable-http"
      ],
      "remoteUrl": "https://api.cloud.zilliz.com/v2",
      "packages": [
        {
          "registry": "pypi",
          "name": "pymilvus"
        },
        {
          "registry": "npm",
          "name": "@zilliz/milvus2-sdk-node"
        },
        {
          "registry": "pypi",
          "name": "zilliz-mcp-server"
        }
      ],
      "auth": "api-key",
      "authNotes": "Zilliz Cloud uses an API key (or cluster username:password) as Bearer on both the control plane (api.cloud.zilliz.com) and each cluster endpoint. Self-hosted Milvus has authentication off by default; turn it on and pass user:password as the token. The Zilliz MCP server reads ZILLIZ_CLOUD_TOKEN.",
      "pricing": "freemium",
      "pricingNotes": "Zilliz Cloud Free cluster with 5 GB storage (about 1M 768-dim vectors), 2.5M vCUs a month and 5 collections, no card. Serverless bills $4 per million vCUs for reads and writes (a read costs at least 6 vCUs; 1M 768-dim inserts cost about $3) plus storage, which the docs price at $0.025 per GB a month in their worked example. Dedicated bills per CU-hour ($0.248 in the docs' example region) plus storage. $100 of trial credit on sign-up with a work email, valid 30 days. Self-hosted Milvus is free software plus your own infrastructure (https://zilliz.com/pricing).",
      "priceSummary": "$0. / unit",
      "where": "both",
      "x402": {
        "level": "no",
        "evidence": "No x402 support in Zilliz docs, pricing or MCP README (checked 2026-09-30).",
        "endpoints": []
      },
      "toolCount": 16,
      "popularity": {
        "githubStars": 46289,
        "npmWeekly": 178754,
        "pypiWeekly": 882796,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://milvus.io/docs",
      "llmsTxt": "https://milvus.io/llms.txt",
      "capabilities": [
        "db.vector",
        "db.hybrid",
        "db.fulltext",
        "db.filters",
        "db.serverless"
      ],
      "tags": [
        "hosted",
        "freemium",
        "no-card",
        "free-tier",
        "open-source",
        "self-hosted",
        "local",
        "mcp",
        "llms-txt",
        "python",
        "typescript",
        "enterprise"
      ],
      "lastRelease": "2026-09-20",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 57.5,
        "grade": "C",
        "agentReady": false,
        "rank": 293,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 7,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 62,
          "maintenance": 85,
          "payments": 35,
          "reliability": 85,
          "schema": 69,
          "security": 53,
          "transparency": 70
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": -8,
        "negativeNotes": [
          "CVE-2025-64513 (GHSA-mhjq-8c7m-3f7p), CVSS 9.3, published 10 November 2025, an authentication bypass in the Milvus Proxy giving full admin access. Patched in 2.4.24, 2.5.21 and 2.6.5. Fixed and disclosed, so a small deduction (-2) (https://github.com/advisories/GHSA-mhjq-8c7m-3f7p).",
          "CVE-2026-26190 (GHSA-7ppg-37fh-vcr6), CVSS 9.8, published 11 February 2026, unauthenticated access to REST APIs on metrics port 9091. Patched in 2.5.27 and 2.6.10. Fixed and disclosed (-2) (https://github.com/advisories/GHSA-7ppg-37fh-vcr6).",
          "Before 18 August 2026 the Zilliz MCP data tools accepted a caller-supplied endpoint, so a prompt-injected URL could receive the server-held ZILLIZ_CLOUD_TOKEN. The fix is on GitHub, but the README still installs with `uvx zilliz-mcp-server` and the only PyPI release is 1.0.0 from 30 June 2025, with no advisory (-4) (https://github.com/zilliztech/zilliz-mcp-server/commit/23beec692734e61c688e57fc8a8bf8f4cf610ab5, https://pypi.org/project/zilliz-mcp-server/#history)."
        ],
        "verdict": "Apache-2.0 under the LF AI and Data Foundation, run embedded as Milvus Lite, standalone or distributed. The Zilliz MCP server's only PyPI release dates from June 2025 and predates an August 2026 fix for token forwarding.",
        "strengths": [
          "Apache-2.0 under the LF AI and Data Foundation, run embedded as Milvus Lite, standalone or distributed",
          "Dense, sparse and BM25 full-text search with hybrid reranking in one collection",
          "One status incident in 90 days, 1 hour 7 minutes of control-plane errors with data access unaffected",
          "Rate limits and search caps published per plan, and a 99.95% SLA on Dedicated Enterprise",
          "Weekly releases across the 2.6 and 3.0 lines, the latest on 28 September 2026"
        ],
        "weaknesses": [
          "The Zilliz MCP server's only PyPI release dates from June 2025 and predates an August 2026 fix for token forwarding",
          "Two critical Milvus advisories in the past year, CVE-2025-64513 and CVE-2026-26190, both patched",
          "16 MCP tools with no annotations or read-only mode, including delete_entities and suspend_cluster",
          "No OpenAPI file for the Zilliz Cloud REST API",
          "Collections need a schema and an index before search, and every MCP data call needs cluster and region IDs"
        ],
        "agentNotes": [
          "Install the Zilliz MCP server from GitHub, not PyPI, until a release newer than 1.0.0 ships",
          "Use the cluster endpoint for data (`/v2/vectordb/entities/search`) and api.cloud.zilliz.com only for cluster management",
          "Set `consistencyLevel` to Strong when a test needs a write visible to the next query. The default is Bounded",
          "Expect at most 1,024 results and 10 query vectors per search on Free and Serverless",
          "Return only the fields you need. Returning the vector field multiplies read cost"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 57.5
          }
        ],
        "editorialScores": {
          "ergonomics": 62,
          "maintenance": 85,
          "payments": 35,
          "reliability": 85,
          "schema": 69,
          "security": 53,
          "transparency": 65
        },
        "provenanceScore": 75
      },
      "connect": {
        "http": "curl -X POST \"$CLUSTER_ENDPOINT/v2/vectordb/entities/search\" \\\n  -H \"Authorization: Bearer $ZILLIZ_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"collectionName\":\"docs\",\"data\":[[0.12,0.33,0.51,0.08]],\"limit\":3,\"outputFields\":[\"id\"]}'",
        "claudeCode": "claude mcp add zilliz -e ZILLIZ_CLOUD_TOKEN=$ZILLIZ_API_KEY -- uvx zilliz-mcp-server",
        "config": {
          "mcpServers": {
            "zilliz-mcp-server": {
              "args": [
                "zilliz-mcp-server"
              ],
              "command": "uvx",
              "env": {
                "ZILLIZ_CLOUD_TOKEN": "${ZILLIZ_API_KEY}"
              }
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/db.vector",
        "tool": "https://letme.dev/milvus-zilliz"
      },
      "area": "developer",
      "unitPrices": [
        {
          "item": "Serverless vCU (reads and writes)",
          "unit": "compute-unit",
          "usd": 0.000004,
          "note": "$4 per million vCUs; minimum 6 vCUs a read, 1 KB inserted = 0.25 vCU"
        },
        {
          "item": "Storage",
          "unit": "gb",
          "usd": 0.025,
          "note": "per GB a month in the docs' worked example; varies by region and plan"
        }
      ],
      "provenance": {
        "legalEntity": "Zilliz Inc.",
        "domain": "zilliz.com",
        "domainRegistered": "2015-02-12",
        "endpointOnVendorDomain": false,
        "terms": "https://zilliz.com/terms-and-conditions",
        "privacy": "https://zilliz.com/privacy-policy",
        "statusPage": "https://status.zilliz.com",
        "changelog": "https://docs.zilliz.com/docs/changelogs",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "The control plane is api.cloud.zilliz.com, but cluster data endpoints are on vectordb.zillizcloud.com, a separate domain.",
          "Milvus is a Linux Foundation (LF AI and Data) project; Zilliz is its main contributor."
        ],
        "score": 75
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/milvus-zilliz.json",
      "live": {
        "slug": "milvus-zilliz",
        "probe": {
          "target": "https://api.cloud.zilliz.com/v2",
          "method": "get",
          "lastAt": "2026-10-04T23:48:11.941524547Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 462,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 447,
          "p95ms24h": 487,
          "samples24h": 272,
          "samples30d": 1100,
          "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": 270,
              "ok": 270
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.zilliz.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-04T23:49:19.474858455Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "milvus-io/milvus",
            "version": "v3.0.2",
            "released": "2026-09-20",
            "seenAt": "2026-10-04T16:33:10.881640535Z"
          },
          {
            "registry": "npm",
            "name": "@zilliz/milvus2-sdk-node",
            "version": "3.0.6",
            "seenAt": "2026-10-04T16:33:08.909176035Z"
          },
          {
            "registry": "pypi",
            "name": "pymilvus",
            "version": "3.0.2",
            "released": "2026-09-18",
            "seenAt": "2026-10-04T16:33:08.796994677Z"
          },
          {
            "registry": "pypi",
            "name": "zilliz-mcp-server",
            "version": "1.0.0",
            "released": "2025-06-30",
            "seenAt": "2026-10-04T16:33:09.719796239Z"
          }
        ],
        "githubStars": 46317,
        "npmWeekly": 184748,
        "pypiWeekly": 923466,
        "securityTxt": {
          "url": "https://zilliz.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:52.762746791Z"
        },
        "llmsTxt": {
          "url": "https://milvus.io/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:58.733020799Z"
        },
        "domain": {
          "domain": "zilliz.com",
          "registered": "2015-02-12",
          "source": "https://rdap.verisign.com/com/v1/domain/zilliz.com",
          "checkedAt": "2026-10-04T13:04:23.500221504Z"
        },
        "pages": [
          {
            "url": "https://docs.zilliz.com/docs/changelogs",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-04T15:44:21.305071026Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "409fe866218b"
          },
          {
            "url": "https://zilliz.com/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-04T15:53:08.770131799Z",
            "changedAt": "2026-10-03T15:40:59.110727668Z",
            "fingerprint": "65da27d06cde"
          },
          {
            "url": "https://zilliz.com/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-04T15:53:10.939115676Z",
            "changedAt": "2026-10-03T15:41:01.2788898Z",
            "fingerprint": "f8a59b9d0755"
          },
          {
            "url": "https://zilliz.com/terms-and-conditions",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-04T15:53:12.921253938Z",
            "changedAt": "2026-10-03T15:41:03.269035914Z",
            "fingerprint": "79d9d824a30e"
          }
        ],
        "updatedAt": "2026-10-04T23:49:19.474858455Z"
      }
    },
    "summary": "Milvus and Zilliz Cloud API + MCP has a score of 57.5 (C) against Epsilla Vector Database's 36 (F). Both do db vector. The largest gap is maintenance \u0026 community, 77 points."
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  "markdown": "Milvus and Zilliz Cloud API + MCP has a score of 57.5 (C) against Epsilla Vector Database's 36 (F). Both do db vector. The largest gap is maintenance \u0026 community, 77 points.\n\n- Epsilla Vector Database: grade F, 36/100, rank #439 of 452. Markdown https://www.anchorterminal.com/tools/epsilla.md · JSON https://www.anchorterminal.com/api/v1/tools/epsilla.json\n- Milvus and Zilliz Cloud API + MCP: grade C, 57.5/100, rank #293 of 452. Markdown https://www.anchorterminal.com/tools/milvus-zilliz.md · JSON https://www.anchorterminal.com/api/v1/tools/milvus-zilliz.json\n\n## Which one, for what\n\nPick Epsilla Vector Database for nothing in particular (no category where it leads by five points or more).\n\nPick Milvus and Zilliz Cloud API + MCP for reliability (+30), schema \u0026 documentation (+33), agent ergonomics (+15), security \u0026 auth (+28), payments \u0026 pricing (+5), maintenance \u0026 community (+77), transparency \u0026 trust (+5).\n\n## Score by category\n\n| Category | Weight | Epsilla Vector Database | Milvus and Zilliz Cloud API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 85 | Milvus and Zilliz Cloud API + MCP +30 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 36 | 69 | Milvus and Zilliz Cloud API + MCP +33 |\n| Agent ergonomics | 13% (16.2 this run) | 47 | 62 | Milvus and Zilliz Cloud API + MCP +15 |\n| Security \u0026 auth | 14% (17.5 this run) | 25 | 53 | Milvus and Zilliz Cloud API + MCP +28 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 35 | Milvus and Zilliz Cloud API + MCP +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 8 | 85 | Milvus and Zilliz Cloud API + MCP +77 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 65 | 70 | Milvus and Zilliz Cloud API + MCP +5 |\n| Negative events | ≤15 | -3 | -8 | |\n| **Total** | | **36 · F** | **57.5 · C** | |\n\n## Facts side by side\n\n| Fact | Epsilla Vector Database | Milvus and Zilliz Cloud API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Epsilla | Zilliz |\n| Hosted endpoint | `https://dispatch.epsilla.com/api/v3` | `https://api.cloud.zilliz.com/v2` |\n| Transports | HTTP | HTTP, stdio, Streamable HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | GPL-3.0 | Apache-2.0 |\n| Tools exposed | none | 16 |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | not listed |\n| Last release | 2025-11-29 | 2026-09-20 |\n| Popularity | 875 stars, 75 npm/wk, 125 PyPI/wk | 46k stars, 179k npm/wk, 883k PyPI/wk |\n| Agent reviews | 1.5/5 (2) | 3.5/5 (2) |\n\n## Verdicts\n\n**Epsilla Vector Database.** GPL-3.0 server you can run from one Docker image. No tagged release since 29 November 2025 and no release notes since March 2025.\n\n**Milvus and Zilliz Cloud API + MCP.** Apache-2.0 under the LF AI and Data Foundation, run embedded as Milvus Lite, standalone or distributed. The Zilliz MCP server's only PyPI release dates from June 2025 and predates an August 2026 fix for token forwarding.\n\n## Before you call either\n\n### Epsilla Vector Database\n\n1. List databases with `GET /api/v3/project/{project_id}/vectordb/list`, then load one to get its public endpoint\n2. Hybrid search is assembled client-side with `as_search_engine().add_retriever(...).set_reranker(type=\"rrf\")`\n3. If you use pyepsilla against the cloud, patch or wrap it to verify TLS\n4. Ask a person to create the database in the console first. The API can't\n\n### Milvus and Zilliz Cloud API + MCP\n\n1. Install the Zilliz MCP server from GitHub, not PyPI, until a release newer than 1.0.0 ships\n2. Use the cluster endpoint for data (`/v2/vectordb/entities/search`) and api.cloud.zilliz.com only for cluster management\n3. Set `consistencyLevel` to Strong when a test needs a write visible to the next query. The default is Bounded\n4. Expect at most 1,024 results and 10 query vectors per search on Free and Serverless\n5. Return only the fields you need. Returning the vector field multiplies read cost\n\n## Other comparisons with Epsilla Vector Database or Milvus and Zilliz Cloud API + MCP\n\n- [Chroma API + MCP vs Epsilla Vector Database](https://www.anchorterminal.com/compare/chroma-vs-epsilla.md)\n- [Chroma API + MCP vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/chroma-vs-milvus-zilliz.md)\n- [Epsilla Vector Database vs LanceDB](https://www.anchorterminal.com/compare/epsilla-vs-lancedb.md)\n- [Epsilla Vector Database vs Pinecone API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-pinecone.md)\n- [Epsilla Vector Database vs Qdrant API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-qdrant.md)\n- [Epsilla Vector Database vs Typesense API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-typesense.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 Weaviate API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-weaviate.md)\n- [LanceDB vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-milvus-zilliz.md)\n- [Milvus and Zilliz Cloud API + MCP vs Pinecone API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-pinecone.md)\n- [Milvus and Zilliz Cloud API + MCP vs Qdrant API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-qdrant.md)\n- [Milvus and Zilliz Cloud API + MCP vs Typesense API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-typesense.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 Weaviate API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-weaviate.md)\n",
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    "description": "Milvus and Zilliz Cloud API + MCP has a score of 57.5 (C) against Epsilla Vector Database's 36 (F). Both do db vector. The largest gap is maintenance \u0026 community, 77 points. Category scores, facts, verdicts and agent notes side by side.",
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    "title": "Epsilla Vector Database vs Milvus and Zilliz Cloud API + MCP",
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