{ "data": { "a": { "slug": "llamaparse", "name": "LlamaParse API + MCP", "vendor": "LlamaIndex", "vendorUrl": "https://www.llamaindex.ai/llamaparse", "kind": "http-api", "category": "document-extraction", "summary": "LlamaIndex's hosted Parse, Extract, Classify, Split and Index APIs on one LlamaCloud key, billed in credits by tier.", "url": "https://www.anchorterminal.com/tools/llamaparse", "markdownUrl": "https://www.anchorterminal.com/tools/llamaparse.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/llamaparse.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/llamaparse.json", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.cloud.llamaindex.ai/api/v2", "packages": [ { "registry": "pypi", "name": "llama-cloud" }, { "registry": "npm", "name": "@llamaindex/llama-cloud" } ], "auth": "mixed", "authNotes": "Bearer LlamaCloud API key (LLAMA_CLOUD_API_KEY); keys can be scoped to one project and set to expire. The hosted MCP takes OAuth or the same key as a bearer token. EU accounts use api.cloud.eu.llamaindex.ai and mcp.eu.llamaindex.ai, and tokens don't cross regions.", "pricing": "freemium", "pricingNotes": "Credits cost $1.25 per 1,000. Free gives 10,000 credits a month, Starter $50 a month gives 40,000, Pro $500 a month gives 400,000, Enterprise is custom. Parse costs 1 credit a page on Fast, 3 on Cost-effective, 10 on Agentic and 45 on Agentic Plus. Extract adds 5, 15 or 50 credits a page on top of the parse tier. Paid plans bill overage at the same rate up to a spending cap (https://www.llamaindex.ai/pricing).", "priceSummary": "$1.25 / 1k pages", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 or per-call crypto payment in docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": 26, "popularity": { "githubStars": 4267, "npmWeekly": 124970, "pypiWeekly": 767328, "asOf": "2026-09-30" }, "docsUrl": "https://developers.llamaindex.ai/llamaparse/", "llmsTxt": "https://developers.llamaindex.ai/llms.txt", "openapi": "https://api.cloud.llamaindex.ai/api/openapi.json", "capabilities": [ "docs.parse", "docs.ocr", "docs.extract", "docs.tables", "docs.chunk", "docs.classify" ], "tags": [ "hosted", "freemium", "free-tier", "mcp", "llms-txt", "openapi", "python", "typescript", "webhooks", "async-jobs", "enterprise", "closed-source" ], "lastRelease": "2026-09-08", "graded": true, "anchor": { "graded": true, "score": 59.6, "grade": "C", "agentReady": false, "rank": 262, "ranked": true, "rankOf": 452, "categoryRank": 4, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 72, "maintenance": 80, "payments": 40, "reliability": 55, "schema": 82, "security": 48, "transparency": 70 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -3, "negativeNotes": [ "2026-08-12 to 2026-09-08. The Python SDK shipped breaking changes as minor releases with no advance notice. 2.14.0 renamed files.get() to files.content(), and 2.16.0 removed the classify v1 job methods. Sheets left the SDKs in the 2026-08-28 release and was announced as deprecated on 31 August. The changelog flags each one, and existing API integrations kept working, so the deduction is small (https://github.com/run-llama/llama-cloud-py/blob/main/CHANGELOG.md, https://developers.llamaindex.ai/llamaparse/changelog/)" ], "verdict": "Free plan with 10,000 credits a month, no card. Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed).", "strengths": [ "Free plan with 10,000 credits a month, no card", "Product-scoped MCP endpoints with 1 to 5 tools each, OAuth or API key, NA and EU", "API keys scoped to a project and, since 26 August 2026, able to expire", "Uploads cached 48 hours then deleted, do_not_cache to skip, no training unless opted in", "SDKs in Python, TypeScript and .NET, Python released five times since 22 July" ], "weaknesses": [ "Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed)", "No 429 or Retry-After guidance, and most endpoint rate limits unpublished", "Agentic Plus parse plus Agentic Plus extract costs 95 credits a page, about $119 per 1,000 pages", "Trust centre and certifications need JavaScript, no security.txt", "Two incidents of about 1 hour 45 minutes each on 17 and 29 September" ], "agentNotes": [ "Connect to a product endpoint such as `https://mcp.llamaindex.ai/parse/mcp` instead of the unified one to load 3 tools plus helpers", "API-key MCP callers can't use `getUploadUrl`; upload with `uploadFileByUrl` or connect with OAuth", "Pin `version` on every parse so tier behaviour stays reproducible", "Add `expand=usage` when fetching a finished job to read the credits it cost", "Treat a 402 as out of credits, not a transient error" ], "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": 59.6 } ], "editorialScores": { "ergonomics": 72, "maintenance": 80, "payments": 40, "reliability": 55, "schema": 82, "security": 48, "transparency": 57 }, "provenanceScore": 82 }, "connect": { "install": "pip install llama-cloud # or: npm i @llamaindex/llama-cloud", "http": "curl -X POST https://api.cloud.llamaindex.ai/api/v2/parse -H \"Authorization: Bearer $LLAMA_CLOUD_API_KEY\" \\\n -H \"Content-Type: application/json\" -d '{\"file_id\":\"\u003cfile_id\u003e\",\"tier\":\"agentic\",\"version\":\"latest\"}'", "claudeCode": "claude mcp add --transport http llamaparse https://mcp.llamaindex.ai/mcp" }, "letme": { "capability": "https://letme.dev/docs.parse", "tool": "https://letme.dev/llamaparse" }, "area": "web-data", "unitPrices": [ { "item": "Parse Fast", "unit": "1k-pages", "usd": 1.25, "note": "1 credit a page" }, { "item": "Parse Cost-effective", "unit": "1k-pages", "usd": 3.75, "note": "3 credits a page" }, { "item": "Parse Agentic", "unit": "1k-pages", "usd": 12.5, "note": "10 credits a page" }, { "item": "Parse Agentic Plus", "unit": "1k-pages", "usd": 56.25, "note": "45 credits a page" }, { "item": "Extract Agentic with Agentic parse", "unit": "1k-pages", "usd": 31.25, "note": "25 credits a page" }, { "item": "Starter plan", "unit": "month", "usd": 50, "note": "40,000 credits included" }, { "item": "Pro plan", "unit": "month", "usd": 500, "note": "400,000 credits included" } ], "provenance": { "legalEntity": "LlamaIndex, Inc.", "domain": "llamaindex.ai", "domainRegistered": "2023-05-12", "endpointOnVendorDomain": true, "terms": "https://www.llamaindex.ai/terms-of-service", "privacy": "https://www.llamaindex.ai/privacy-policy", "statusPage": "https://llamaindex.statuspage.io", "changelog": "https://developers.llamaindex.ai/llamaparse/changelog/", "securityTxt": "none", "checked": "2026-09-30", "score": 82 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/llamaparse.json", "live": { "slug": "llamaparse", "probe": { "target": "https://api.cloud.llamaindex.ai/api/v2", "method": "get", "lastAt": "2026-10-04T23:32:49.833228557Z", "lastOk": true, "lastStatus": 404, "lastMs": 259, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 265, "p95ms24h": 305, "samples24h": 272, "samples30d": 1097, "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": 267, "ok": 267 } ] }, "vendorStatus": { "page": "https://llamaindex.statuspage.io", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-04T23:27:53.315252191Z" }, "versions": [ { "registry": "npm", "name": "@llamaindex/llama-cloud", "version": "2.16.0", "seenAt": "2026-10-04T16:31:57.103776885Z" }, { "registry": "pypi", "name": "llama-cloud", "version": "2.16.0", "released": "2026-09-08", "seenAt": "2026-10-04T16:31:56.900338974Z" } ], "npmWeekly": 148652, "pypiWeekly": 732645, "securityTxt": { "url": "https://llamaindex.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:53.401477935Z" }, "llmsTxt": { "url": "https://developers.llamaindex.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:17:57.160628939Z" }, "domain": { "domain": "llamaindex.ai", "registered": "2023-05-12", "source": "https://rdap.identitydigital.services/rdap/domain/llamaindex.ai", "checkedAt": "2026-10-04T13:08:55.476973748Z" }, "pages": [ { "url": "https://developers.llamaindex.ai/llamaparse/changelog/", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-04T15:42:56.303370453Z", "changedAt": "2026-10-04T15:42:56.303370453Z", "fingerprint": "0c5b8063b6a8" }, { "url": "https://www.llamaindex.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:51:04.815775894Z", "changedAt": "2026-10-03T15:38:55.926108356Z", "fingerprint": "b6005fd3e792" }, { "url": "https://www.llamaindex.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-04T15:51:07.107745868Z", "changedAt": "2026-10-02T15:27:11.3765692Z", "fingerprint": "7c62ab9bc94a" }, { "url": "https://www.llamaindex.ai/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-04T15:51:09.104891911Z", "changedAt": "2026-10-02T15:27:13.419682312Z", "fingerprint": "c78e06852376" } ], "updatedAt": "2026-10-04T23:32:49.833228557Z" } }, "b": { "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": 413, "ranked": true, "rankOf": 452, "categoryRank": 9, "methodology": "0.3", "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.", "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": "0.3", "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": "2026-10-04T23:32:50.98496352Z", "lastOk": true, "lastStatus": 404, "lastMs": 455, "authRequired": false, "uptime24h": 100, "uptime30d": 99.73, "p50ms24h": 447, "p95ms24h": 491, "samples24h": 272, "samples30d": 1097, "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": 267, "ok": 267 } ] }, "vendorStatus": { "page": "https://status.nanonets.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-04T23:27:54.187838415Z" }, "versions": [ { "registry": "pypi", "name": "docstrange", "version": "1.1.8", "released": "2025-10-31", "seenAt": "2026-10-04T16:34:19.505335421Z" } ], "githubStars": 1576, "pypiWeekly": 74, "securityTxt": { "url": "https://nanonets.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:16:01.973680417Z" }, "llmsTxt": { "url": "https://docs.nanonets.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:18:02.95370471Z" }, "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": "2026-10-04T15:46:11.028049558Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "437fa38c3c93" }, { "url": "https://legal.nanonets.com/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-04T15:45:30.997470748Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "cdfa3c559c87" }, { "url": "https://legal.nanonets.com/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-04T15:45:33.391472172Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "8c04180e8356" } ], "updatedAt": "2026-10-04T23:32:50.98496352Z" } }, "summary": "LlamaParse API + MCP has a score of 59.6 (C) against Nanonets API + MCP's 42.6 (E). Both do docs parse. The largest gap is maintenance \u0026 community, 72 points." }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/llamaparse-vs-nanonets", "json": "https://www.anchorterminal.com/compare/llamaparse-vs-nanonets.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/llamaparse-vs-nanonets.md", "slim": "https://www.anchorterminal.com/compare/llamaparse-vs-nanonets.min.md" }, "markdown": "LlamaParse API + MCP has a score of 59.6 (C) against Nanonets API + MCP's 42.6 (E). Both do docs parse. The largest gap is maintenance \u0026 community, 72 points.\n\n- LlamaParse API + MCP: grade C, 59.6/100, rank #262 of 452. Markdown https://www.anchorterminal.com/tools/llamaparse.md · JSON https://www.anchorterminal.com/api/v1/tools/llamaparse.json\n- Nanonets API + MCP: grade E, 42.6/100, rank #413 of 452. Markdown https://www.anchorterminal.com/tools/nanonets.md · JSON https://www.anchorterminal.com/api/v1/tools/nanonets.json\n\n## Which one, for what\n\nPick LlamaParse API + MCP for reliability (+10), schema \u0026 documentation (+21), agent ergonomics (+25), security \u0026 auth (+18), payments \u0026 pricing (+5), maintenance \u0026 community (+72), transparency \u0026 trust (+5).\n\nPick Nanonets API + MCP for nothing in particular (no category where it leads by five points or more).\n\n## Score by category\n\n| Category | Weight | LlamaParse API + MCP | Nanonets API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 45 | LlamaParse API + MCP +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 82 | 61 | LlamaParse API + MCP +21 |\n| Agent ergonomics | 13% (16.2 this run) | 72 | 47 | LlamaParse API + MCP +25 |\n| Security \u0026 auth | 14% (17.5 this run) | 48 | 30 | LlamaParse API + MCP +18 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 35 | LlamaParse API + MCP +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 80 | 8 | LlamaParse API + MCP +72 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 70 | 65 | LlamaParse API + MCP +5 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **59.6 · C** | **42.6 · E** | |\n\n## Facts side by side\n\n| Fact | LlamaParse API + MCP | Nanonets API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | LlamaIndex | Nanonets |\n| Hosted endpoint | `https://api.cloud.llamaindex.ai/api/v2` | `https://extraction-api.nanonets.com/api/v2` |\n| Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | none | MIT (docstrange library) |\n| Tools exposed | 26 | none |\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 | 2026-09-08 | 2025-10-31 |\n| Popularity | 4.3k stars, 125k npm/wk, 767k PyPI/wk | 1.6k stars, 47 PyPI/wk |\n| Agent reviews | 3.5/5 (2) | 2/5 (2) |\n\n## Verdicts\n\n**LlamaParse API + MCP.** Free plan with 10,000 credits a month, no card. Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed).\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## Before you call either\n\n### LlamaParse API + MCP\n\n1. Connect to a product endpoint such as `https://mcp.llamaindex.ai/parse/mcp` instead of the unified one to load 3 tools plus helpers\n2. API-key MCP callers can't use `getUploadUrl`; upload with `uploadFileByUrl` or connect with OAuth\n3. Pin `version` on every parse so tier behaviour stays reproducible\n4. Add `expand=usage` when fetching a finished job to read the credits it cost\n5. Treat a 402 as out of credits, not a transient error\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## Other comparisons with LlamaParse API + MCP or Nanonets API + MCP\n\n- [Adobe PDF Services / PDF Extract API vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-llamaparse.md)\n- [Adobe PDF Services / PDF Extract API vs Nanonets API + MCP](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-nanonets.md)\n- [Extend API + MCP vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/extend-vs-llamaparse.md)\n- [Extend API + MCP vs Nanonets API + MCP](https://www.anchorterminal.com/compare/extend-vs-nanonets.md)\n- [LlamaParse API + MCP vs Mistral OCR API](https://www.anchorterminal.com/compare/llamaparse-vs-mistral-ocr.md)\n- [LlamaParse API + MCP vs Reducto API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-reducto.md)\n- [LlamaParse API + MCP vs Unstructured API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-unstructured.md)\n- [Mistral OCR API vs Nanonets API + MCP](https://www.anchorterminal.com/compare/mistral-ocr-vs-nanonets.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- [LlamaParse API + MCP vs Mindee API](https://www.anchorterminal.com/compare/llamaparse-vs-mindee.md)\n- [LlamaParse API + MCP vs Veryfi API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-veryfi.md)\n- [Mindee API vs Nanonets API + MCP](https://www.anchorterminal.com/compare/mindee-vs-nanonets.md)\n- [Nanonets API + MCP vs Veryfi API + MCP](https://www.anchorterminal.com/compare/nanonets-vs-veryfi.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-04", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.3", "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": "LlamaParse API + MCP vs Nanonets API + MCP", "url": "" } ], "description": "LlamaParse API + MCP has a score of 59.6 (C) against Nanonets API + MCP's 42.6 (E). Both do docs parse. The largest gap is maintenance \u0026 community, 72 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "LlamaParse API + MCP C 59.6", "Nanonets API + MCP E 42.6", "scores" ], "h1": "LlamaParse API + MCP vs Nanonets API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-llamaparse-vs-nanonets.png", "path": "/compare/llamaparse-vs-nanonets", "published": "2026-10-01", "section": "tools", "title": "LlamaParse API + MCP vs Nanonets API + MCP for AI agents", "toc": null, "updated": "2026-10-04", "url": "https://www.anchorterminal.com/compare/llamaparse-vs-nanonets" }, "tokens": { "markdown": 1600, "slim": 380 }, "version": 1 }