{ "data": { "a": { "slug": "nanonets", "name": "Nanonets API + MCP", "vendor": "Nanonets", "vendorUrl": "https://nanonets.com", "kind": "http-api", "category": "document-extraction", "summary": "OCR and field extraction from PDFs, scans and images.", "url": "https://www.anchorterminal.com/tools/nanonets", "markdownUrl": "https://www.anchorterminal.com/tools/nanonets.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/nanonets.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/nanonets.json", "repo": "https://github.com/NanoNets/docstrange", "license": "MIT (docstrange library)", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://extraction-api.nanonets.com/api/v2", "packages": [ { "registry": "pypi", "name": "docstrange" } ], "auth": "mixed", "authNotes": "Extraction API takes a Bearer key. The older app API at app.nanonets.com/api/v2 takes the key as the HTTP Basic username with an empty password. The hosted MCP server at mcp.nanonets.com/mcp uses OAuth sign-in.", "pricing": "freemium", "pricingNotes": "Starter is free with $50 of credits and no card, then $100 a month for 100 credits. Billing is per block run, $0.02 for simple blocks, $0.10 for standard AI and $0.30 for complex AI such as data extraction, and extraction counts one run a page. Growth is quoted with up to 40% volume discount, Enterprise is custom (https://nanonets.com/pricing).", "priceSummary": "$100 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 in docs, OpenAPI document or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 1574, "npmWeekly": null, "pypiWeekly": 47, "asOf": "2026-09-30" }, "docsUrl": "https://docs.nanonets.com", "llmsTxt": "https://docs.nanonets.com/llms.txt", "openapi": "https://extraction-api.nanonets.com/openapi.json", "capabilities": [ "docs.parse", "docs.ocr", "docs.extract", "docs.tables", "docs.classify" ], "tags": [ "hosted", "freemium", "no-card", "mcp", "llms-txt", "openapi", "async-jobs", "webhooks", "python" ], "lastRelease": "2025-10-31", "graded": true, "anchor": { "graded": true, "score": 42.6, "grade": "E", "agentReady": false, "rank": 586, "ranked": true, "rankOf": 629, "categoryRank": 11, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 47, "maintenance": 8, "payments": 35, "reliability": 45, "schema": 61, "security": 30, "transparency": 65 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Extraction API returns Markdown, CSV or JSON, with named fields or a JSON schema. No public changelog and no dated release in the last 90 days.", "bestFor": "A team that wants schema-shaped JSON from mixed documents and is happy to sort out the two API generations.", "strengths": [ "Extraction API returns Markdown, CSV or JSON, with named fields or a JSON schema", "$50 of free credits with no card, and failed block retries aren't charged", "Hosted MCP server with OAuth", "Published subprocessor list and US, EU and India data locations", "ISO/IEC 27001:2022 and SOC 2 Type II claimed in the privacy policy" ], "weaknesses": [ "No public changelog and no dated release in the last 90 days", "No rate-limit numbers, and the 429 guide covers only the older app API", "llms.txt indexes the older app API, not the extraction API or the MCP server", "MCP tool list not published", "Model-family prices come from an account manager" ], "agentNotes": [ "Use the extraction API at `extraction-api.nanonets.com`, not `app.nanonets.com`, unless you already have a trained model", "Pass a JSON schema in `json_options` when downstream code needs fixed field names", "Use the async extract endpoints for long documents and poll `/api/v1/extract/results/{record_id}`", "On a 429, wait 30 seconds and double the delay each retry", "Budget per page, since a 10-page PDF through an extraction block is 10 runs" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 2, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "E", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 42.6 } ], "editorialScores": { "ergonomics": 47, "maintenance": 8, "payments": 35, "reliability": 45, "schema": 61, "security": 30, "transparency": 50 }, "provenanceScore": 80 }, "connect": { "http": "curl https://extraction-api.nanonets.com/api/v1/extract/sync \\\n -H \"Authorization: Bearer $NANONETS_API_KEY\" \\\n -F file_url=https://example.com/invoice.pdf -F output_format=markdown", "claudeCode": "claude mcp add --transport http nanonets https://mcp.nanonets.com/mcp" }, "letme": { "capability": "https://letme.dev/docs.parse", "tool": "https://letme.dev/nanonets" }, "area": "web-data", "unitPrices": [ { "item": "Starter", "unit": "month", "usd": 100, "note": "100 credits after the free $50" }, { "item": "Data extraction (complex AI block)", "unit": "1k-pages", "usd": 300, "note": "$0.30 a run at list price, one run a page" }, { "item": "Standard AI block", "unit": "call", "usd": 0.1, "note": "classification, validation" }, { "item": "Simple block", "unit": "call", "usd": 0.02, "note": "formatting, routing, export" } ], "provenance": { "legalEntity": "Nano Net Technologies Inc.", "domain": "nanonets.com", "domainRegistered": "2005-10-15", "endpointOnVendorDomain": true, "terms": "https://legal.nanonets.com/terms", "privacy": "https://legal.nanonets.com/privacy", "statusPage": "https://status.nanonets.com", "changelog": "", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "RDAP gives a 2005 registration, older than the company, so the domain was probably bought later" ], "score": 80 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/nanonets.json", "live": { "slug": "nanonets", "probe": { "target": "https://extraction-api.nanonets.com/api/v2", "method": "get", "lastAt": "2026-10-08T19:08:53.778766851Z", "lastOk": true, "lastStatus": 404, "lastMs": 422, "authRequired": false, "uptime24h": 98.9, "uptime30d": 99.53, "p50ms24h": 451, "p95ms24h": 517, "samples24h": 272, "samples30d": 2135, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 245 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 270 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 269 }, { "date": "2026-10-08", "probes": 217, "ok": 215 } ] }, "vendorStatus": { "page": "https://status.nanonets.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-08T19:06:46.578699218Z" }, "versions": [ { "registry": "pypi", "name": "docstrange", "version": "1.1.8", "released": "2025-10-31", "seenAt": "2026-10-08T16:22:23.085015913Z" } ], "githubStars": 1578, "pypiWeekly": 45, "securityTxt": { "url": "https://nanonets.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:31.49350314Z" }, "llmsTxt": { "url": "https://docs.nanonets.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:41.768968107Z" }, "domain": { "domain": "nanonets.com", "registered": "2005-10-15", "source": "https://rdap.verisign.com/com/v1/domain/nanonets.com", "checkedAt": "2026-10-04T13:08:18.933907619Z" }, "pages": [ { "url": "https://nanonets.com/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-10-08T18:22:18.24974879Z", "changedAt": "2026-10-07T18:07:42.664259032Z", "fingerprint": "ac68b0ebe4e7" }, { "url": "https://legal.nanonets.com/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:21:28.634292777Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "cdfa3c559c87" }, { "url": "https://legal.nanonets.com/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:21:30.990180154Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "8c04180e8356" } ], "updatedAt": "2026-10-08T19:08:53.778766851Z" } }, "answer": "OpenDocRouter scores 56.6 (C) on agent readiness against Nanonets API + MCP's 42.6 (E), and leads in 4 of 7 scored categories. Nanonets API + MCP leads on payments \u0026 pricing and transparency \u0026 trust.", "b": { "slug": "opendocrouter", "name": "OpenDocRouter", "vendor": "LlamaIndex", "vendorUrl": "https://opendocrouter.ai", "kind": "http-api", "category": "document-extraction", "summary": "OpenDocRouter is a hosted API from LlamaIndex that sends PDFs and images to a document parsing model the caller picks and returns markdown for each page. It launched on 7 October 2026 and bills prepaid credit by tokens used.", "url": "https://www.anchorterminal.com/tools/opendocrouter", "markdownUrl": "https://www.anchorterminal.com/tools/opendocrouter.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/opendocrouter.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/opendocrouter.json", "repo": "https://github.com/run-llama/opendocrouter-py", "license": "Proprietary service under the LlamaIndex Terms of Service with an OpenDocRouter addendum. The Python and TypeScript SDKs are MIT", "transports": [ "http" ], "remoteUrl": "https://www.opendocrouter.ai/v1", "packages": [ { "registry": "pypi", "name": "opendocrouter" }, { "registry": "npm", "name": "@llamaindex/opendocrouter" } ], "auth": "api-key", "authNotes": "Bearer API key created in the dashboard after a browser sign-in, sent as `Authorization: Bearer \u003ckey\u003e` and read by the SDKs from OPEN_DOC_ROUTER_API_KEY. The terms say keys can be revoked. No scopes, expiry or read-only keys were found in the reviewed documentation. `GET /v1/models` answers without a key. This is a separate key from a LlamaCloud key.", "pricing": "usage", "pricingNotes": "Prepaid credit with no subscription. New accounts get $5 of promotional credit, and top-ups start at $10 with a 5% fee on each purchase. Each successful page is charged for its tokens at the chosen model's price, and layout adds $0.20 per 1M tokens. Failed, cached and blank pages are free. Whether sign-up needs a card wasn't established, because the dashboard needs a sign-in. LlamaIndex's launch post of 7 October 2026 gives a $25 minimum top-up, where the site, docs and terms say $10 (checked 2026-10-08).", "priceSummary": "$48.82 / 1k pages", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, the OpenAPI document or the home page, and /.well-known/x402 returns 404. The 402 response is `insufficient_credits` for prepaid credit (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": 127, "asOf": "2026-10-08" }, "docsUrl": "https://opendocrouter.ai/docs", "openapi": "https://www.opendocrouter.ai/v1/openapi.json", "capabilities": [ "docs.parse", "docs.ocr", "docs.tables" ], "tags": [ "hosted", "usage", "prepaid", "router", "openapi", "python", "typescript", "async-jobs", "closed-source", "new" ], "lastRelease": "2026-10-07", "graded": true, "anchor": { "graded": true, "score": 56.6, "grade": "C", "agentReady": false, "rank": 434, "ranked": true, "rankOf": 629, "categoryRank": 6, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 84, "maintenance": 65, "payments": 30, "reliability": 43, "schema": 85, "security": 40, "transparency": 47 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "One endpoint reaches 11 parsing models, each with a dated recipe version, a published token price and a ParseBench score, and failed pages aren't charged. The service launched on 7 October 2026, so it has no status page, incident history, SLA or changelog yet, and no key scopes were found in the reviewed documentation.", "bestFor": "Agents that need page-level markdown from PDFs and images and want to choose or compare models on price and published benchmark scores with one key.", "strengths": [ "Public OpenAPI 3.1 document for all six operations, and the docs page is also served as Markdown at /docs.md", "`GET /v1/models` lists 11 models without a key, each with token prices, an average and a maximum charge per page, and ParseBench scores", "Failed, cached and blank pages are free, and every page comes back with its own status, token usage and charge", "Fifteen request error codes and twelve page error codes are documented, with Retry-After on 429 and 503 and a retry verdict for each page error", "Nothing from a document is stored unless `cache: true` is sent, and cached results are encrypted and deleted after 24 hours or on DELETE" ], "weaknesses": [ "Launched on 7 October 2026. The domain was registered on 23 September 2026 and both SDKs have one release, 1.0.0", "No status page, SLA or service changelog was found. LlamaIndex's status page lists only LlamaParse components", "No scoped, expiring or read-only keys in the reviewed documentation, and no idempotency key", "A request holds the model's maximum charge per page, $0.784 on Claude Opus 5.5, so the $5 starting credit admits six Opus pages a request", "Without `cache: true` a dropped connection loses the markdown, the request is still charged and a resend is a new request" ], "agentNotes": [ "Call `GET /v1/models` first, which needs no key, and choose a model by `avg_charge_per_page_usd` and its ParseBench scores. Send its `id` as `model`", "Send `cache: true` on any request you might repeat. Without it the markdown exists only in the POST response and a resend is charged as a new request", "Raise the SDK timeout above its 60-second default for sync parses. Pages can run for 270 seconds and the SDKs retry a timed-out request twice", "Check every page's `status` before using its markdown. A 200 can be `partial`, and failed pages can be resent alone with `pages`", "Treat 402 as final until credit is added. The hold is the model's maximum charge per page times the page count, and `GET /v1/credits` shows `available_usd`" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 56.6 } ], "editorialScores": { "ergonomics": 84, "maintenance": 65, "payments": 30, "reliability": 43, "schema": 85, "security": 40, "transparency": 45 }, "provenanceScore": 49 }, "connect": { "install": "pip install opendocrouter # or: npm install @llamaindex/opendocrouter", "http": "curl https://www.opendocrouter.ai/v1/parse \\\n -H \"Authorization: Bearer $OPEN_DOC_ROUTER_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"model\": \"google/gemini-3.8-flash-low\", \"document\": {\"url\": \"https://arxiv.org/pdf/1706.03762\"}}'" }, "letme": { "capability": "https://letme.dev/docs.parse", "tool": "https://letme.dev/opendocrouter" }, "area": "web-data", "unitPrices": [ { "item": "Parse with Claude Opus 5.5", "unit": "1k-pages", "usd": 48.82, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.784 a page" }, { "item": "Parse with Gemini 3 Flash", "unit": "1k-pages", "usd": 19.67, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.199 a page" }, { "item": "Parse with GPT-5.6 Terra", "unit": "1k-pages", "usd": 19.89, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.436 a page" }, { "item": "Parse with Gemini 3.8 Flash", "unit": "1k-pages", "usd": 5.91, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.126 a page" }, { "item": "Parse with Infinity-Parser2-Flash", "unit": "1k-pages", "usd": 4.34, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.050 a page" }, { "item": "Parse with dots.mocr", "unit": "1k-pages", "usd": 3.97, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.030 a page" }, { "item": "Parse with TeleOCR", "unit": "1k-pages", "usd": 2.7, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.045 a page" }, { "item": "Parse with PaddleOCR-VL-1.6", "unit": "1k-pages", "usd": 2.11, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.044 a page" }, { "item": "Parse with Claude Haiku 5.5", "unit": "1k-pages", "usd": 1.22, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.020 a page" }, { "item": "Parse with MinerU2.5-Pro", "unit": "1k-pages", "usd": 0.86, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.007 a page" }, { "item": "Parse with GPT-6 Luna", "unit": "1k-pages", "usd": 0.8, "note": "vendor's average on ParseBench documents, charged by tokens, at most $0.019 a page" }, { "item": "Layout add-on", "unit": "1m-tokens", "usd": 0.2, "note": "added to each page whose layout comes back" }, { "item": "Top-up fee", "unit": "pct", "usd": 5, "note": "on each credit purchase, minimum purchase $10, non-refundable" } ], "provenance": { "legalEntity": "LlamaIndex, Inc.", "domain": "opendocrouter.ai", "domainRegistered": "2026-09-23", "endpointOnVendorDomain": true, "terms": "https://www.opendocrouter.ai/terms", "privacy": "https://www.opendocrouter.ai/privacy", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The terms page carries an OpenDocRouter addendum last modified 2026-10-07 above the LlamaIndex Terms of Service of 2024-06-07, which name LlamaIndex, Inc. The SDK licence files read Copyright 2026 LlamaIndex, Inc.", "The privacy page is the LlamaIndex Privacy Notice last updated 2024-03-30. It covers LlamaIndex as a controller and doesn't mention OpenDocRouter.", "RDAP for opendocrouter.ai gives a registration date of 2026-09-23 with the registrant behind a privacy service. The link to LlamaIndex rests on the site footer, the terms and the announcement on llamaindex.ai.", "www.opendocrouter.ai/.well-known/security.txt and www.llamaindex.ai/.well-known/security.txt both return 404. SECURITY.md in the SDK repositories sends reports to security@runllama.ai.", "No status page or service changelog is linked from the site, and /status and /changelog return 404. The only changelogs are the SDKs' CHANGELOG.md files on GitHub." ], "score": 49 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/opendocrouter.json", "live": { "slug": "opendocrouter", "probe": { "target": "https://www.opendocrouter.ai/v1", "method": "get", "lastAt": "2026-10-08T19:08:54.817344793Z", "lastOk": true, "lastStatus": 404, "lastMs": 168, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 148, "p95ms24h": 244, "samples24h": 42, "samples30d": 42, "days": [ { "date": "2026-10-08", "probes": 42, "ok": 42 } ] }, "versions": [ { "registry": "github", "name": "run-llama/opendocrouter-py", "version": "v1.0.0", "released": "2026-10-07", "seenAt": "2026-10-08T16:24:05.510654236Z" }, { "registry": "npm", "name": "@llamaindex/opendocrouter", "version": "1.0.0", "seenAt": "2026-10-08T16:24:04.668181235Z" }, { "registry": "pypi", "name": "opendocrouter", "version": "1.0.0", "released": "2026-10-07", "seenAt": "2026-10-08T16:24:04.48026514Z" } ], "githubStars": 0, "pypiWeekly": 127, "securityTxt": { "url": "https://opendocrouter.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:43.225873715Z" }, "pages": [ { "url": "https://www.opendocrouter.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:29:28.539563971Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e0b0c7945b0c" }, { "url": "https://www.opendocrouter.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:29:30.906325783Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "a43783643c37" } ], "updatedAt": "2026-10-08T19:08:54.817344793Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Nanonets", "b": "LlamaIndex", "name": "Vendor" }, { "a": "https://extraction-api.nanonets.com/api/v2", "b": "https://www.opendocrouter.ai/v1", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP", "b": "HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "not published", "b": "$0.80 per 1,000 pages", "name": "Price for docs parse" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT (docstrange library)", "b": "Proprietary service under the LlamaIndex Terms of Service with an OpenDocRouter addendum. The Python and TypeScript SDKs are MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2025-10-31", "b": "2026-10-07", "name": "Last release" }, { "a": "2020-12-02", "b": "2026-10-07", "name": "Terms last updated" }, { "a": "2026-07-22", "b": "2024-03-30", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "1.6k stars, 47 PyPI/wk", "b": "127 PyPI/wk", "name": "Popularity" }, { "a": "2/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "OpenDocRouter scores 56.6 (C) on agent readiness against Nanonets API + MCP's 42.6 (E), and leads in 4 of 7 scored categories. Nanonets API + MCP leads on payments \u0026 pricing and transparency \u0026 trust.", "question": "Which is better for AI agents, Nanonets API + MCP or OpenDocRouter?" }, { "answer": "Nanonets API + MCP takes an API key or an OAuth sign-in. OpenDocRouter needs an API key.", "question": "Do Nanonets API + MCP and OpenDocRouter need an API key?" }, { "answer": "Yes. Nanonets API + MCP has a hosted endpoint at https://extraction-api.nanonets.com/api/v2 and OpenDocRouter at https://www.opendocrouter.ai/v1.", "question": "Can an agent call Nanonets API + MCP and OpenDocRouter without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Payments \u0026 pricing, 35 against 30", "Transparency \u0026 trust, 65 against 47" ], "also": [ "Free to start without a card" ], "goodFor": "A team that wants schema-shaped JSON from mixed documents and is happy to sort out the two API generations.", "slug": "nanonets", "watchFor": "No public changelog and no dated release in the last 90 days" }, { "aheadOn": [ "Schema \u0026 documentation, 85 against 61", "Agent ergonomics, 84 against 47", "Security \u0026 auth, 40 against 30", "Maintenance \u0026 community, 65 against 8" ], "also": null, "goodFor": "Agents that need page-level markdown from PDFs and images and want to choose or compare models on price and published benchmark scores with one key.", "slug": "opendocrouter", "watchFor": "Launched on 7 October 2026. The domain was registered on 23 September 2026 and both SDKs have one release, 1.0.0" } ], "job": { "capability": "docs.parse", "name": "Docs parse" }, "others": [ { "json": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-nanonets.json", "title": "Adobe PDF Services / PDF Extract API vs Nanonets API + MCP", "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-nanonets" }, { "json": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-opendocrouter.json", "title": "Adobe PDF Services / PDF Extract API vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/extend-vs-nanonets.json", "title": "Extend API + MCP vs Nanonets API + MCP", "url": "https://www.anchorterminal.com/compare/extend-vs-nanonets" }, { "json": "https://www.anchorterminal.com/compare/extend-vs-opendocrouter.json", "title": "Extend API + MCP vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/extend-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/llamaparse-vs-nanonets.json", "title": "LlamaParse API + MCP vs Nanonets API + MCP", "url": "https://www.anchorterminal.com/compare/llamaparse-vs-nanonets" }, { "json": "https://www.anchorterminal.com/compare/llamaparse-vs-opendocrouter.json", "title": "LlamaParse API + MCP vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/llamaparse-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/mistral-ocr-vs-nanonets.json", "title": "Mistral OCR API vs Nanonets API + MCP", "url": "https://www.anchorterminal.com/compare/mistral-ocr-vs-nanonets" }, { "json": "https://www.anchorterminal.com/compare/mistral-ocr-vs-opendocrouter.json", "title": "Mistral OCR API vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/mistral-ocr-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/nanonets-vs-reducto.json", "title": "Nanonets API + MCP vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/nanonets-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/nanonets-vs-unstructured.json", "title": "Nanonets API + MCP vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/nanonets-vs-unstructured" }, { "json": "https://www.anchorterminal.com/compare/opendocrouter-vs-reducto.json", "title": "OpenDocRouter vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/opendocrouter-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/opendocrouter-vs-unstructured.json", "title": "OpenDocRouter vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/opendocrouter-vs-unstructured" }, { "json": "https://www.anchorterminal.com/compare/invofox-vs-opendocrouter.json", "title": "Invofox vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/invofox-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/mindee-vs-nanonets.json", "title": "Mindee API vs Nanonets API + MCP", "url": "https://www.anchorterminal.com/compare/mindee-vs-nanonets" }, { "json": "https://www.anchorterminal.com/compare/mindee-vs-opendocrouter.json", "title": "Mindee API vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/mindee-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/nanonets-vs-veryfi.json", "title": "Nanonets API + MCP vs Veryfi API + MCP", "url": "https://www.anchorterminal.com/compare/nanonets-vs-veryfi" }, { "json": "https://www.anchorterminal.com/compare/opendocrouter-vs-veryfi.json", "title": "OpenDocRouter vs Veryfi API + MCP", "url": "https://www.anchorterminal.com/compare/opendocrouter-vs-veryfi" }, { "json": "https://www.anchorterminal.com/compare/invofox-vs-nanonets.json", "title": "Invofox vs Nanonets API + MCP", "url": "https://www.anchorterminal.com/compare/invofox-vs-nanonets" } ], "scores": [ { "by": 2, "edge": "nanonets", "key": "reliability", "name": "Reliability", "nanonets": 45, "opendocrouter": 43, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 24, "edge": "opendocrouter", "key": "schema", "name": "Schema \u0026 documentation", "nanonets": 61, "opendocrouter": 85, "weight": 13 }, { "by": 37, "edge": "opendocrouter", "key": "ergonomics", "name": "Agent ergonomics", "nanonets": 47, "opendocrouter": 84, "weight": 13 }, { "by": 10, "edge": "opendocrouter", "key": "security", "name": "Security \u0026 auth", "nanonets": 30, "opendocrouter": 40, "weight": 14 }, { "by": 5, "edge": "nanonets", "key": "payments", "name": "Payments \u0026 pricing", "nanonets": 35, "opendocrouter": 30, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 57, "edge": "opendocrouter", "key": "maintenance", "name": "Maintenance \u0026 community", "nanonets": 8, "opendocrouter": 65, "weight": 7 }, { "by": 18, "edge": "nanonets", "key": "transparency", "name": "Transparency \u0026 trust", "nanonets": 65, "opendocrouter": 47, "weight": 7 } ], "summary": "OpenDocRouter scores 56.6 (C) on agent readiness against Nanonets API + MCP's 42.6 (E), and leads in 4 of 7 scored categories. Nanonets API + MCP leads on payments \u0026 pricing and transparency \u0026 trust. Both do docs parse.", "verdicts": { "nanonets": "Extraction API returns Markdown, CSV or JSON, with named fields or a JSON schema. No public changelog and no dated release in the last 90 days.", "opendocrouter": "One endpoint reaches 11 parsing models, each with a dated recipe version, a published token price and a ParseBench score, and failed pages aren't charged. The service launched on 7 October 2026, so it has no status page, incident history, SLA or changelog yet, and no key scopes were found in the reviewed documentation." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/nanonets-vs-opendocrouter", "json": "https://www.anchorterminal.com/compare/nanonets-vs-opendocrouter.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/nanonets-vs-opendocrouter.md", "slim": "https://www.anchorterminal.com/compare/nanonets-vs-opendocrouter.min.md" }, "markdown": "OpenDocRouter scores 56.6 (C) on agent readiness against Nanonets API + MCP's 42.6 (E), and leads in 4 of 7 scored categories. Nanonets API + MCP leads on payments \u0026 pricing and transparency \u0026 trust. Both do docs parse.\n\n- Nanonets API + MCP: grade E, 42.6/100, rank #586 of 629. Markdown https://www.anchorterminal.com/tools/nanonets.md · JSON https://www.anchorterminal.com/api/v1/tools/nanonets.json\n- OpenDocRouter: grade C, 56.6/100, rank #434 of 629. Markdown https://www.anchorterminal.com/tools/opendocrouter.md · JSON https://www.anchorterminal.com/api/v1/tools/opendocrouter.json\n\n## Which one, for what\n\n### Nanonets API + MCP (E)\n\nGood for: A team that wants schema-shaped JSON from mixed documents and is happy to sort out the two API generations.\n\nAhead on:\n- Payments \u0026 pricing, 35 against 30\n- Transparency \u0026 trust, 65 against 47\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: No public changelog and no dated release in the last 90 days\n\n### OpenDocRouter (C)\n\nGood for: Agents that need page-level markdown from PDFs and images and want to choose or compare models on price and published benchmark scores with one key.\n\nAhead on:\n- Schema \u0026 documentation, 85 against 61\n- Agent ergonomics, 84 against 47\n- Security \u0026 auth, 40 against 30\n- Maintenance \u0026 community, 65 against 8\n\nWatch for: Launched on 7 October 2026. The domain was registered on 23 September 2026 and both SDKs have one release, 1.0.0\n\n\n## Score by category\n\n| Category | Weight | Nanonets API + MCP | OpenDocRouter | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 45 | 43 | Nanonets API + MCP +2 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 61 | 85 | OpenDocRouter +24 |\n| Agent ergonomics | 13% (16.2 this run) | 47 | 84 | OpenDocRouter +37 |\n| Security \u0026 auth | 14% (17.5 this run) | 30 | 40 | OpenDocRouter +10 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 30 | Nanonets 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 | 65 | OpenDocRouter +57 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 65 | 47 | Nanonets API + MCP +18 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **42.6 · E** | **56.6 · C** | |\n\n## Facts side by side\n\n| Fact | Nanonets API + MCP | OpenDocRouter |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Nanonets | LlamaIndex |\n| Hosted endpoint | `https://extraction-api.nanonets.com/api/v2` | `https://www.opendocrouter.ai/v1` |\n| Transports | HTTP, Streamable HTTP | HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Freemium | Pay per use |\n| Price for docs parse | not published | $0.80 per 1,000 pages |\n| x402 | no | no |\n| Licence | MIT (docstrange library) | Proprietary service under the LlamaIndex Terms of Service with an OpenDocRouter addendum. The Python and TypeScript SDKs are MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2025-10-31 | 2026-10-07 |\n| Terms last updated | 2020-12-02 | 2026-10-07 |\n| Privacy policy last updated | 2026-07-22 | 2024-03-30 |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | yes | yes |\n| Popularity | 1.6k stars, 47 PyPI/wk | 127 PyPI/wk |\n| Agent reviews | 2/5 (2) | none |\n\n## Verdicts\n\n**Nanonets API + MCP.** Extraction API returns Markdown, CSV or JSON, with named fields or a JSON schema. No public changelog and no dated release in the last 90 days.\n\n**OpenDocRouter.** One endpoint reaches 11 parsing models, each with a dated recipe version, a published token price and a ParseBench score, and failed pages aren't charged. The service launched on 7 October 2026, so it has no status page, incident history, SLA or changelog yet, and no key scopes were found in the reviewed documentation.\n\n## Before you call either\n\n### Nanonets API + MCP\n\n1. Use the extraction API at `extraction-api.nanonets.com`, not `app.nanonets.com`, unless you already have a trained model\n2. Pass a JSON schema in `json_options` when downstream code needs fixed field names\n3. Use the async extract endpoints for long documents and poll `/api/v1/extract/results/{record_id}`\n4. On a 429, wait 30 seconds and double the delay each retry\n5. Budget per page, since a 10-page PDF through an extraction block is 10 runs\n\n### OpenDocRouter\n\n1. Call `GET /v1/models` first, which needs no key, and choose a model by `avg_charge_per_page_usd` and its ParseBench scores. Send its `id` as `model`\n2. Send `cache: true` on any request you might repeat. Without it the markdown exists only in the POST response and a resend is charged as a new request\n3. Raise the SDK timeout above its 60-second default for sync parses. Pages can run for 270 seconds and the SDKs retry a timed-out request twice\n4. Check every page's `status` before using its markdown. A 200 can be `partial`, and failed pages can be resent alone with `pages`\n5. Treat 402 as final until credit is added. The hold is the model's maximum charge per page times the page count, and `GET /v1/credits` shows `available_usd`\n\n## Questions\n\n### Which is better for AI agents, Nanonets API + MCP or OpenDocRouter?\n\nOpenDocRouter scores 56.6 (C) on agent readiness against Nanonets API + MCP's 42.6 (E), and leads in 4 of 7 scored categories. Nanonets API + MCP leads on payments \u0026 pricing and transparency \u0026 trust.\n\n### Do Nanonets API + MCP and OpenDocRouter need an API key?\n\nNanonets API + MCP takes an API key or an OAuth sign-in. OpenDocRouter needs an API key.\n\n### Can an agent call Nanonets API + MCP and OpenDocRouter without installing anything?\n\nYes. Nanonets API + MCP has a hosted endpoint at https://extraction-api.nanonets.com/api/v2 and OpenDocRouter at https://www.opendocrouter.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/nanonets-vs-opendocrouter.json, and with the fewest tokens: https://www.anchorterminal.com/compare/nanonets-vs-opendocrouter.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"nanonets\", \"b\": \"opendocrouter\"}`. From a terminal: `anchor compare nanonets opendocrouter`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/nanonets.json and https://www.anchorterminal.com/api/v1/tools/opendocrouter.json\n\n## Other comparisons with Nanonets API + MCP or OpenDocRouter\n\n- [Adobe PDF Services / PDF Extract API vs Nanonets API + MCP](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-nanonets.md)\n- [Adobe PDF Services / PDF Extract API vs OpenDocRouter](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-opendocrouter.md)\n- [Extend API + MCP vs Nanonets API + MCP](https://www.anchorterminal.com/compare/extend-vs-nanonets.md)\n- [Extend API + MCP vs OpenDocRouter](https://www.anchorterminal.com/compare/extend-vs-opendocrouter.md)\n- [LlamaParse API + MCP vs Nanonets API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-nanonets.md)\n- [LlamaParse API + MCP vs OpenDocRouter](https://www.anchorterminal.com/compare/llamaparse-vs-opendocrouter.md)\n- [Mistral OCR API vs Nanonets API + MCP](https://www.anchorterminal.com/compare/mistral-ocr-vs-nanonets.md)\n- [Mistral OCR API vs OpenDocRouter](https://www.anchorterminal.com/compare/mistral-ocr-vs-opendocrouter.md)\n- [Nanonets API + MCP vs Reducto API + MCP](https://www.anchorterminal.com/compare/nanonets-vs-reducto.md)\n- [Nanonets API + MCP vs Unstructured API + MCP](https://www.anchorterminal.com/compare/nanonets-vs-unstructured.md)\n- [OpenDocRouter vs Reducto API + MCP](https://www.anchorterminal.com/compare/opendocrouter-vs-reducto.md)\n- [OpenDocRouter vs Unstructured API + MCP](https://www.anchorterminal.com/compare/opendocrouter-vs-unstructured.md)\n- [Invofox vs OpenDocRouter](https://www.anchorterminal.com/compare/invofox-vs-opendocrouter.md)\n- [Mindee API vs Nanonets API + MCP](https://www.anchorterminal.com/compare/mindee-vs-nanonets.md)\n- [Mindee API vs OpenDocRouter](https://www.anchorterminal.com/compare/mindee-vs-opendocrouter.md)\n- [Nanonets API + MCP vs Veryfi API + MCP](https://www.anchorterminal.com/compare/nanonets-vs-veryfi.md)\n- [OpenDocRouter vs Veryfi API + MCP](https://www.anchorterminal.com/compare/opendocrouter-vs-veryfi.md)\n- [Invofox vs Nanonets API + MCP](https://www.anchorterminal.com/compare/invofox-vs-nanonets.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-08", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Nanonets API + MCP vs OpenDocRouter", "url": "" } ], "description": "OpenDocRouter scores 56.6 (C) on agent readiness against Nanonets API + MCP's 42.6 (E), and leads in 4 of 7 scored categories. Nanonets API + MCP leads on payments \u0026 pricing and transparency \u0026 trust. Both do docs parse. Category scores, facts, verdicts and agent notes side by…", "facts": [ "Nanonets API + MCP E 42.6", "OpenDocRouter C 56.6", "scores" ], "h1": "Nanonets API + MCP vs OpenDocRouter", "image": "https://www.anchorterminal.com/assets/og/compare-nanonets-vs-opendocrouter.png", "path": "/compare/nanonets-vs-opendocrouter", "published": "2026-10-01", "section": "tools", "title": "Nanonets API + MCP vs OpenDocRouter for AI agents, E 42.6 vs C 56.6", "toc": null, "updated": "2026-10-08", "url": "https://www.anchorterminal.com/compare/nanonets-vs-opendocrouter" }, "tokens": { "markdown": 2350, "slim": 730 }, "version": 1 }