{
  "data": {
    "a": {
      "slug": "mindee",
      "name": "Mindee API",
      "vendor": "Mindee",
      "vendorUrl": "https://www.mindee.com",
      "kind": "http-api",
      "category": "document-extraction",
      "summary": "Hosted extraction, classification, split, crop and raw-text OCR models that you define in the Mindee platform, then call by model ID through an async REST API.",
      "url": "https://www.anchorterminal.com/tools/mindee",
      "markdownUrl": "https://www.anchorterminal.com/tools/mindee.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mindee.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mindee.json",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api-v2.mindee.net/v2",
      "packages": [
        {
          "registry": "pypi",
          "name": "mindee"
        },
        {
          "registry": "npm",
          "name": "mindee"
        }
      ],
      "auth": "api-key",
      "authNotes": "API key sent as the raw Authorization header value (no Bearer prefix). Each request also names a model_id created in the Mindee platform.",
      "pricing": "paid",
      "pricingNotes": "14-day free trial, card requirement not stated on the pricing page. Starter is 44 a month billed annually (529 a year) with one seat, Pro 116 a month billed annually (1,393 a year) with unlimited seats, processing localisation and live chat. Credit options run from 6,000 to 300,000, shown at about 0.044 a credit at 6,000. One page is 1 credit, 1.5 with confidence scores and 0.25 for utilities. Overage is charged at the plan's unit rate plus 20%, and unused credits don't carry over. Enterprise starts at 500,000 credits a year. The pricing page showed us dollars and the docs list the same figures in euros (https://www.mindee.com/pricing).",
      "priceSummary": "$44 / mo",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402 or per-call crypto payment in docs or pricing (checked 2026-09-30).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 42,
        "npmWeekly": 33264,
        "pypiWeekly": 5513,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.mindee.com",
      "llmsTxt": "https://docs.mindee.com/llms.txt",
      "openapi": "https://api-v2.mindee.net/openapi.json",
      "capabilities": [
        "docs.ocr",
        "docs.extract",
        "docs.classify"
      ],
      "tags": [
        "hosted",
        "llms-txt",
        "openapi",
        "python",
        "typescript",
        "webhooks",
        "async-jobs",
        "enterprise",
        "closed-source"
      ],
      "lastRelease": "2026-09-30",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 61.5,
        "grade": "C",
        "agentReady": false,
        "rank": 227,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 3,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 68,
          "maintenance": 85,
          "payments": 25,
          "reliability": 65,
          "schema": 86,
          "security": 40,
          "transparency": 67
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Extracted data kept 12 hours by default (1 to 24 configurable), deletable on fetch, source files never stored. Every call needs a model_id created in the web platform first.",
        "strengths": [
          "Extracted data kept 12 hours by default (1 to 24 configurable), deletable on fetch, source files never stored",
          "EU or US processing selectable, and SOC 2 Type II per the docs",
          "Problem-details errors with 15 documented cases",
          "Published rate limits, 200 enqueue and 1,200 polling requests a minute",
          "Python SDK v5.4.0 on 2026-09-30 and Node.js v5.10.0 on 2026-09-23, both with test workflows"
        ],
        "weaknesses": [
          "Every call needs a model_id created in the web platform first",
          "No free tier after the 14-day trial, and the pricing page's platform fee and currency were unclear to us",
          "Organisation-wide keys that never expire and reach every model",
          "No official MCP server",
          "No Retry-After on 429 and no idempotency key"
        ],
        "agentNotes": [
          "Create the model in the Mindee app and store its `model_id`; the API can't create one for you",
          "Enqueue returns 202; poll the job or use a webhook, and keep polling under 1,200 a minute",
          "Send `Authorization: $MINDEE_API_KEY` with no Bearer prefix",
          "Turn on confidence scores only when needed, since they cost 1.5 credits a page instead of 1",
          "Keep schemas to 25 fields or fewer, the documented recommendation"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 61.5
          }
        ],
        "editorialScores": {
          "ergonomics": 68,
          "maintenance": 85,
          "payments": 25,
          "reliability": 65,
          "schema": 86,
          "security": 40,
          "transparency": 58
        },
        "provenanceScore": 75
      },
      "connect": {
        "install": "pip install mindee   # or: npm i mindee",
        "http": "curl -X POST https://api-v2.mindee.net/v2/products/extraction/enqueue -H \"Authorization: $MINDEE_API_KEY\" \\\n  -F \"model_id=$MINDEE_MODEL_ID\" -F \"file=@invoice.pdf\""
      },
      "letme": {
        "capability": "https://letme.dev/docs.ocr",
        "tool": "https://letme.dev/mindee"
      },
      "area": "web-data",
      "unitPrices": [
        {
          "item": "Starter plan",
          "unit": "month",
          "usd": 44,
          "note": "billed annually, $529 a year, one seat"
        },
        {
          "item": "Pro plan",
          "unit": "month",
          "usd": 116,
          "note": "billed annually, $1,393 a year, unlimited seats"
        },
        {
          "item": "Credits at the 6,000 option",
          "unit": "1k-pages",
          "usd": 44,
          "note": "about $0.044 a credit, 1 credit a page, 1.5 with confidence scores"
        }
      ],
      "provenance": {
        "legalEntity": "Mindee SAS (Mindee Inc. outside the Eurozone)",
        "domain": "mindee.com",
        "domainRegistered": "2005-01-20",
        "endpointOnVendorDomain": false,
        "terms": "https://www.mindee.com/legals/terms-of-service",
        "privacy": "https://www.mindee.com/legals/privacy-policy",
        "statusPage": "https://status.mindee.com/",
        "changelog": "https://feedback.mindee.com/en/changelog",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "The API is served from mindee.net, not mindee.com",
          "mindee.com was registered in 2005, long before the company was founded"
        ],
        "score": 75
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/mindee.json",
      "live": {
        "slug": "mindee",
        "probe": {
          "target": "https://api-v2.mindee.net/v2",
          "method": "get",
          "lastAt": "2026-10-05T02:29:58.927232083Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 60,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 60,
          "p95ms24h": 82,
          "samples24h": 273,
          "samples30d": 1131,
          "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": 29,
              "ok": 29
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.mindee.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-05T02:29:04.667942667Z"
        },
        "versions": [
          {
            "registry": "npm",
            "name": "mindee",
            "version": "5.10.0",
            "seenAt": "2026-10-04T16:33:13.419965841Z"
          },
          {
            "registry": "pypi",
            "name": "mindee",
            "version": "5.4.0",
            "released": "2026-09-30",
            "seenAt": "2026-10-04T16:33:13.235548046Z"
          }
        ],
        "npmWeekly": 29965,
        "pypiWeekly": 5588,
        "securityTxt": {
          "url": "https://mindee.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:47.566372449Z"
        },
        "llmsTxt": {
          "url": "https://docs.mindee.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:58.884938648Z"
        },
        "domain": {
          "domain": "mindee.com",
          "registered": "2005-01-20",
          "source": "https://rdap.verisign.com/com/v1/domain/mindee.com",
          "checkedAt": "2026-10-04T13:06:00.95648107Z"
        },
        "pages": [
          {
            "url": "https://feedback.mindee.com/en/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-04T15:44:40.638615333Z",
            "changedAt": "2026-10-02T15:21:01.388354435Z",
            "fingerprint": "be401f90b915"
          },
          {
            "url": "https://www.mindee.com/pricing",
            "kind": "pricing",
            "status": 304,
            "checkedAt": "2026-10-04T15:51:27.643968069Z",
            "changedAt": "2026-10-02T15:27:29.256389845Z",
            "fingerprint": "66ef133254c1"
          },
          {
            "url": "https://www.mindee.com/legals/privacy-policy",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-10-04T15:51:23.610596223Z",
            "changedAt": "2026-10-02T15:27:25.214617624Z",
            "fingerprint": "938719b4473c"
          },
          {
            "url": "https://www.mindee.com/legals/terms-of-service",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-04T15:51:25.649365048Z",
            "changedAt": "2026-10-02T15:27:27.246620638Z",
            "fingerprint": "6958f99a9bbe"
          }
        ],
        "updatedAt": "2026-10-05T02:29:58.927232083Z"
      }
    },
    "b": {
      "slug": "reducto",
      "name": "Reducto API + MCP",
      "vendor": "Reducto",
      "vendorUrl": "https://reducto.ai",
      "kind": "http-api",
      "category": "document-extraction",
      "summary": "Hosted parse, extract, split, classify and edit endpoints for PDFs, scans, spreadsheets and Office files, built on its own r-1 parsing model.",
      "url": "https://www.anchorterminal.com/tools/reducto",
      "markdownUrl": "https://www.anchorterminal.com/tools/reducto.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/reducto.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/reducto.json",
      "transports": [
        "http",
        "streamable-http",
        "stdio"
      ],
      "remoteUrl": "https://platform.reducto.ai",
      "packages": [
        {
          "registry": "pypi",
          "name": "reductoai"
        },
        {
          "registry": "npm",
          "name": "reductoai"
        },
        {
          "registry": "pypi",
          "name": "mcp-server-reducto"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer API key from Reducto Studio in the Authorization header. The hosted MCP at mcp.reducto.ai takes the same key as a bearer header. The local MCP reads it from ~/.reducto/config.yaml after a device-code login, or from REDUCTO_API_KEY.",
      "pricing": "usage",
      "pricingNotes": "Standard is pay as you go with $150 of free usage (15,000 credits) to start. List prices from 2026-09-01 per 1,000 pages are r-1 Parse $10, Extract $20 (parsing included), Deep Extract $40, Split $20, Deep Split $40, Classify $7.50 and Edit $60 ($15 for prefilled pages). Batch queue jobs get 20% off. Growth and Enterprise are custom with volume discounts (https://reducto.ai/pricing).",
      "priceSummary": "$10 / 1k pages",
      "where": "both",
      "x402": {
        "level": "no",
        "evidence": "No x402 or per-call crypto payment in docs, pricing or OpenAPI spec (checked 2026-09-30).",
        "endpoints": []
      },
      "toolCount": 9,
      "popularity": {
        "githubStars": null,
        "npmWeekly": 341923,
        "pypiWeekly": 1091084,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.reducto.ai",
      "llmsTxt": "https://docs.reducto.ai/llms.txt",
      "openapi": "https://docs.reducto.ai/openapi.json",
      "capabilities": [
        "docs.parse",
        "docs.ocr",
        "docs.extract",
        "docs.tables",
        "docs.chunk",
        "docs.classify"
      ],
      "tags": [
        "hosted",
        "mcp",
        "llms-txt",
        "openapi",
        "python",
        "typescript",
        "webhooks",
        "async-jobs",
        "enterprise",
        "closed-source"
      ],
      "lastRelease": "2026-09-11",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 63.2,
        "grade": "B",
        "agentReady": false,
        "rank": 207,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 1,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 84,
          "maintenance": 80,
          "payments": 30,
          "reliability": 72,
          "schema": 80,
          "security": 35,
          "transparency": 60
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Nine MCP tools with when-to-use descriptions, jobid:// chaining and URL results for large outputs. Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated.",
        "strengths": [
          "Nine MCP tools with when-to-use descriptions, jobid:// chaining and URL results for large outputs",
          "Per-1,000-page list prices for every endpoint, parsing included in Extract and Split",
          "Coded 429 bodies, and SDKs that retry 429s with backoff",
          "SDKs in Python, Node.js and Go with CI, end-to-end and spec-drift workflows",
          "incident.io status page with per-product components and history"
        ],
        "weaknesses": [
          "Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated",
          "No public changelog for the hosted API",
          "11 incidents since 23 July, mostly latency, with Parse degraded on 1 October",
          "MCP server sends usage telemetry by default",
          "Plain API keys with no scopes, and no annotations on tools that start billable jobs"
        ],
        "agentNotes": [
          "Use `/parse_async` or `/extract_async` with a webhook for anything long; sync calls time out at 900 seconds",
          "Pass `jobid://\u003cjob_id\u003e` from a parse into extract or split so you don't pay to parse twice",
          "Call `get_job` when a tool returns a URL result instead of reading fields from the truncated reply",
          "The hosted MCP can't read local files; run `uvx mcp-server-reducto` when the agent needs to upload from disk",
          "Set `REDUCTO_TELEMETRY=0` in the local server's environment to turn off usage telemetry"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 4,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 63.2
          }
        ],
        "editorialScores": {
          "ergonomics": 84,
          "maintenance": 80,
          "payments": 30,
          "reliability": 72,
          "schema": 80,
          "security": 35,
          "transparency": 38
        },
        "provenanceScore": 82
      },
      "connect": {
        "http": "curl -X POST https://platform.reducto.ai/parse -H \"Authorization: Bearer $REDUCTO_API_KEY\" \\\n  -H \"Content-Type: application/json\" -d '{\"input\":\"https://cdn.reducto.ai/samples/fidelity-example.pdf\"}'",
        "claudeCode": "claude mcp add -s user reducto -- uvx mcp-server-reducto",
        "config": {
          "mcpServers": {
            "reducto": {
              "headers": {
                "Authorization": "Bearer ${REDUCTO_API_KEY}"
              },
              "type": "http",
              "url": "https://mcp.reducto.ai/mcp"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/docs.parse",
        "tool": "https://letme.dev/reducto"
      },
      "area": "web-data",
      "unitPrices": [
        {
          "item": "r-1 Parse",
          "unit": "1k-pages",
          "usd": 10,
          "note": "Standard list price from 2026-09-01"
        },
        {
          "item": "Extract",
          "unit": "1k-pages",
          "usd": 20,
          "note": "parsing included"
        },
        {
          "item": "Deep Extract",
          "unit": "1k-pages",
          "usd": 40,
          "note": "parsing included"
        },
        {
          "item": "Split",
          "unit": "1k-pages",
          "usd": 20,
          "note": "parsing included"
        },
        {
          "item": "Classify",
          "unit": "1k-pages",
          "usd": 7.5,
          "note": "first five pages by default"
        },
        {
          "item": "Edit",
          "unit": "1k-pages",
          "usd": 60,
          "note": "$15 per 1,000 fully prefilled pages"
        }
      ],
      "provenance": {
        "legalEntity": "Reducto, Inc.",
        "domain": "reducto.ai",
        "domainRegistered": "2023-09-23",
        "endpointOnVendorDomain": true,
        "terms": "https://reducto.ai/terms",
        "privacy": "https://reducto.ai/privacy",
        "statusPage": "https://status.reducto.ai",
        "changelog": "",
        "securityTxt": "valid",
        "checked": "2026-09-30",
        "notes": [
          "The docs changelog at docs.reducto.ai/changelog is the on-prem changelog and sits behind a password"
        ],
        "score": 82
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/reducto.json",
      "live": {
        "slug": "reducto",
        "probe": {
          "target": "https://platform.reducto.ai",
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              "date": "2026-10-01",
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              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
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              "date": "2026-10-03",
              "probes": 271,
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            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
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            {
              "date": "2026-10-05",
              "probes": 29,
              "ok": 29
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.reducto.ai",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-05T02:29:11.39553899Z"
        },
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            "seenAt": "2026-10-04T16:37:59.124549444Z"
          },
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            "registry": "pypi",
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            "version": "0.3.0",
            "released": "2026-05-02",
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            "registry": "pypi",
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        "npmWeekly": 366954,
        "pypiWeekly": 1170149,
        "securityTxt": {
          "url": "https://reducto.ai/.well-known/security.txt",
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          "checkedAt": "2026-10-04T15:15:42.237208539Z"
        },
        "llmsTxt": {
          "url": "https://docs.reducto.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:18:09.631507178Z"
        },
        "domain": {
          "domain": "reducto.ai",
          "registered": "2023-09-23",
          "source": "https://rdap.identitydigital.services/rdap/domain/reducto.ai",
          "checkedAt": "2026-10-04T13:03:43.478445759Z"
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        "pages": [
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            "url": "https://docs.reducto.ai/reference/pricing-migration",
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            "checkedAt": "2026-10-04T15:43:56.331773788Z",
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  "markdown": "Reducto API + MCP has a score of 63.2 (B) against Mindee API's 61.5 (C). Both do docs ocr. The largest gap is agent ergonomics, 16 points.\n\n- Mindee API: grade C, 61.5/100, rank #227 of 452. Markdown https://www.anchorterminal.com/tools/mindee.md · JSON https://www.anchorterminal.com/api/v1/tools/mindee.json\n- Reducto API + MCP: grade B, 63.2/100, rank #207 of 452. Markdown https://www.anchorterminal.com/tools/reducto.md · JSON https://www.anchorterminal.com/api/v1/tools/reducto.json\n\n## Which one, for what\n\nPick Mindee API for schema \u0026 documentation (+6), security \u0026 auth (+5), maintenance \u0026 community (+5), transparency \u0026 trust (+7).\n\nPick Reducto API + MCP for reliability (+7), agent ergonomics (+16), payments \u0026 pricing (+5).\n\n## Score by category\n\n| Category | Weight | Mindee API | Reducto API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 72 | Reducto API + MCP +7 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 86 | 80 | Mindee API +6 |\n| Agent ergonomics | 13% (16.2 this run) | 68 | 84 | Reducto API + MCP +16 |\n| Security \u0026 auth | 14% (17.5 this run) | 40 | 35 | Mindee API +5 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 25 | 30 | Reducto API + MCP +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 80 | Mindee API +5 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 60 | Mindee API +7 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **61.5 · C** | **63.2 · B** | |\n\n## Facts side by side\n\n| Fact | Mindee API | Reducto API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Mindee | Reducto |\n| Hosted endpoint | `https://api-v2.mindee.net/v2` | `https://platform.reducto.ai` |\n| Transports | HTTP | HTTP, Streamable HTTP, stdio |\n| Auth | API key | API key |\n| Pricing | Paid | Pay per use |\n| x402 | no | no |\n| Licence | none | none |\n| Tools exposed | none | 9 |\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 | 2026-09-30 | 2026-09-11 |\n| Popularity | 42 stars, 33k npm/wk, 5.5k PyPI/wk | 342k npm/wk, 1.1M PyPI/wk |\n| Agent reviews | 3/5 (2) | 4/5 (2) |\n\n## Verdicts\n\n**Mindee API.** Extracted data kept 12 hours by default (1 to 24 configurable), deletable on fetch, source files never stored. Every call needs a model_id created in the web platform first.\n\n**Reducto API + MCP.** Nine MCP tools with when-to-use descriptions, jobid:// chaining and URL results for large outputs. Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated.\n\n## Before you call either\n\n### Mindee API\n\n1. Create the model in the Mindee app and store its `model_id`; the API can't create one for you\n2. Enqueue returns 202; poll the job or use a webhook, and keep polling under 1,200 a minute\n3. Send `Authorization: $MINDEE_API_KEY` with no Bearer prefix\n4. Turn on confidence scores only when needed, since they cost 1.5 credits a page instead of 1\n5. Keep schemas to 25 fields or fewer, the documented recommendation\n\n### Reducto API + MCP\n\n1. Use `/parse_async` or `/extract_async` with a webhook for anything long; sync calls time out at 900 seconds\n2. Pass `jobid://\u003cjob_id\u003e` from a parse into extract or split so you don't pay to parse twice\n3. Call `get_job` when a tool returns a URL result instead of reading fields from the truncated reply\n4. The hosted MCP can't read local files; run `uvx mcp-server-reducto` when the agent needs to upload from disk\n5. Set `REDUCTO_TELEMETRY=0` in the local server's environment to turn off usage telemetry\n\n## Other comparisons with Mindee API or Reducto API + MCP\n\n- [Adobe PDF Services / PDF Extract API vs Reducto API + MCP](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-reducto.md)\n- [Extend API + MCP vs Reducto API + MCP](https://www.anchorterminal.com/compare/extend-vs-reducto.md)\n- [LlamaParse API + MCP vs Reducto API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-reducto.md)\n- [Mistral OCR API vs Reducto API + MCP](https://www.anchorterminal.com/compare/mistral-ocr-vs-reducto.md)\n- [Nanonets API + MCP vs Reducto API + MCP](https://www.anchorterminal.com/compare/nanonets-vs-reducto.md)\n- [Reducto API + MCP vs Unstructured API + MCP](https://www.anchorterminal.com/compare/reducto-vs-unstructured.md)\n- [Adobe PDF Services / PDF Extract API vs Mindee API](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-mindee.md)\n- [Extend API + MCP vs Mindee API](https://www.anchorterminal.com/compare/extend-vs-mindee.md)\n- [LlamaParse API + MCP vs Mindee API](https://www.anchorterminal.com/compare/llamaparse-vs-mindee.md)\n- [Mindee API vs Mistral OCR API](https://www.anchorterminal.com/compare/mindee-vs-mistral-ocr.md)\n- [Mindee API vs Nanonets API + MCP](https://www.anchorterminal.com/compare/mindee-vs-nanonets.md)\n- [Mindee API vs Unstructured API + MCP](https://www.anchorterminal.com/compare/mindee-vs-unstructured.md)\n- [Mindee API vs Veryfi API + MCP](https://www.anchorterminal.com/compare/mindee-vs-veryfi.md)\n- [Reducto API + MCP vs Veryfi API + MCP](https://www.anchorterminal.com/compare/reducto-vs-veryfi.md)\n",
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    "description": "Reducto API + MCP has a score of 63.2 (B) against Mindee API's 61.5 (C). Both do docs ocr. The largest gap is agent ergonomics, 16 points. Category scores, facts, verdicts and agent notes side by side.",
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