{ "data": { "a": { "slug": "landingai-agentic-document-extraction", "name": "LandingAI Agentic Document Extraction", "vendor": "LandingAI, Inc.", "vendorUrl": "https://landing.ai", "kind": "http-api", "category": "document-extraction", "summary": "LandingAI's Agentic Document Extraction is a hosted API that parses PDFs, images, Office files and spreadsheets into Markdown with page coordinates, then extracts fields against a JSON schema. Python and TypeScript libraries and a CLI call it.", "url": "https://www.anchorterminal.com/tools/landingai-agentic-document-extraction", "markdownUrl": "https://www.anchorterminal.com/tools/landingai-agentic-document-extraction.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/landingai-agentic-document-extraction.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/landingai-agentic-document-extraction.json", "repo": "https://github.com/landing-ai/ade-python", "license": "Proprietary service under LandingAI's terms for Agentic Document Extraction. The Python and TypeScript libraries and the CLI are Apache-2.0, and the skills repository is MIT", "transports": [ "http" ], "remoteUrl": "https://api.ade.landing.ai", "packages": [ { "registry": "pypi", "name": "landingai-ade" }, { "registry": "npm", "name": "landingai-ade" } ], "auth": "api-key", "authNotes": "A Bearer API key in the `Authorization` header, created by a person in the web app at ade.landing.ai after signup. Access is self-serve with no review. The Explore plan has one key, which cannot be deleted or revoked (support replaces a leaked key by email). Team and Enterprise organisations create several named keys and revoke them, and Admin and Developer roles decide who may revoke. Keys have no scopes and are specific to the US or EU deployment. Enterprise adds SSO and an IP allowlist. The CLI also accepts a browser login.", "pricing": "usage", "pricingNotes": "A credit costs $0.01 on the Explore and Team plans, and signup includes 1,000 free credits with no card, so an agent's owner can start without a contract. DPT-3 Pro parsing consumes 1 credit a page plus 0.5 credits per 1,000 output characters on the priority tier and half that on the standard tier. Extract is charged per input and output character, and Ground is free. Team plans start at $250 a month. Enterprise prices are on request (https://docs.landing.ai/ade/ade-pricing, checked 2026-10-09).", "priceSummary": "$0.01 / credit", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the OpenAPI description or the pricing pages (checked 2026-10-09).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://docs.landing.ai/dpt3/overview", "llmsTxt": "https://docs.landing.ai/llms.txt", "openapi": "https://docs.landing.ai/dpt3/openapi-adev2.json", "capabilities": [ "docs.parse", "docs.extract", "docs.tables", "docs.ocr", "docs.chunk", "docs.classify" ], "tags": [ "hosted", "api-key", "openapi", "llms-txt", "python", "typescript", "cli", "webhooks", "async-jobs", "eu-region", "status-page", "soc2", "closed-source" ], "lastRelease": "2026-09-22", "graded": true, "anchor": { "graded": true, "score": 69, "grade": "B", "agentReady": false, "rank": 199, "ranked": true, "rankOf": 950, "categoryRank": 3, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 85, "payments": 40, "reliability": 85, "schema": 88, "security": 43, "transparency": 63 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": 0, "verdict": "Parse, Extract and Ground have a public OpenAPI description, Markdown docs, published credit rates and page limits, and a status page showing no incident in 90 days. The Explore plan's single API key cannot be revoked without support, and the published terms let LandingAI train on customer documents unless Zero Data Retention, a Team and Enterprise setting, is on.", "bestFor": "Agents that need Markdown with block-level page coordinates and schema extraction with citations, in the US or EU.", "strengths": [ "Public OpenAPI 3.1 description of the nine Gen2 operations, `llms.txt`, `llms-full.txt` and a Markdown twin of every docs page", "Credit rates published per page and per 1,000 characters, and each response reports the credits it consumed in `metadata.billing`", "1,000 free credits on signup with no card, then $0.01 a credit on the Explore and Team plans", "status.landing.ai lists US and EU components for the product and no incident since 30 April 2026", "Troubleshooting pages list each status code and 422 message with its cause and fix, and say when credits are not consumed" ], "weaknesses": [ "The Explore plan has one API key that cannot be deleted or revoked. A leaked key is replaced by emailing support", "The published terms let LandingAI use customer materials and output to train its models. Zero Data Retention, which stops that, is a Team and Enterprise setting", "The terms forbid accessing the Solution through any agent, robot or tool LandingAI does not supply, and forbid benchmarking. This matters before any probe is run", "No idempotency key on job creation and no `Retry-After` header in the reviewed documentation", "No scoped or read-only keys, and no prompt-injection guidance for parsed document text was found", "The 18-hour-55-minute parsing incident of 30 April 2026 and two in February and March 2026 were attributed to a cloud provider" ], "agentNotes": [ "Send `Authorization: Bearer \u003ckey\u003e` to `https://api.ade.landing.ai/v2/parse`. EU keys work only on `https://api.ade.eu-west-1.landing.ai`", "Submit large files to `/v2/parse/jobs`. Synchronous parse times out at 475 seconds and is capped at the plan's pages-per-minute limit", "Leave jobs on the `standard` tier unless speed matters. It consumes half the credits of `priority`", "Run Extract on the Markdown that Parse returned, then call Ground for page numbers and boxes. Ground consumes no credits", "On a 429, read the message. One case clears with backoff and the other means the document is too large for the tier" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 69 } ], "editorialScores": { "ergonomics": 75, "maintenance": 85, "payments": 40, "reliability": 85, "schema": 88, "security": 43, "transparency": 49 }, "provenanceScore": 76 }, "connect": { "install": "pip install landingai-ade", "http": "curl -X POST 'https://api.ade.landing.ai/v2/parse' \\\n -H 'Authorization: Bearer YOUR_API_KEY' \\\n -F 'document=@document.pdf' \\\n -F 'model=dpt-3-pro-latest'", "claudeCode": "/plugin marketplace add landing-ai/ade-document-processing-skills\n/plugin install ade-document-processing@ade-document-processing-skills" }, "letme": { "capability": "https://letme.dev/docs.parse", "tool": "https://letme.dev/landingai-agentic-document-extraction" }, "area": "web-data", "unitPrices": [ { "item": "Credit (Explore and Team plans)", "unit": "credit", "usd": 0.01, "note": "1,000 free credits on signup" }, { "item": "DPT-3 Pro parse, standard tier, typical business page", "unit": "1k-pages", "usd": 15, "note": "vendor's median of 1.5 credits a page. Actual use is 0.5 credits a page plus 0.25 per 1,000 output characters" }, { "item": "Team plan, smallest credit pack", "unit": "month", "usd": 250, "note": "25,000 credits a month" } ], "provenance": { "legalEntity": "LandingAI, Inc.", "domain": "landing.ai", "domainRegistered": "2017-12-15", "endpointOnVendorDomain": true, "terms": "https://landing.ai/va-tos", "privacy": "https://landing.ai/privacy-policy", "statusPage": "https://status.landing.ai", "changelog": "https://docs.landing.ai/dpt3/changelog", "securityTxt": "none", "checked": "2026-10-09", "notes": [ "https://landing.ai/va-tos is titled Terms of Service (Agentic Document Extraction \u0026 Agentic Object Detection), names LandingAI, Inc., and carries no date. It is governed by California law.", "https://landing.ai/terms-of-service (last updated 6 May 2024) covers the platform services and LandingLens and says a Master Subscription Agreement supersedes it where one exists.", "landing.ai/robots.txt disallows `/legal/msa-ade-US-2026-02-11` and `/legal/msa-ade-EU-2026-02-11`. We did not read them, so we could not confirm whether an agreement dated 11 February 2026 replaces the terms we link.", "The privacy policy covers website visitors, service users and clients, names a data protection lead and EU and UK representatives, and shows no effective date in the text our reader received.", "https://landing.ai/.well-known/security.txt returns 404. The libraries' SECURITY.md asks for reports through GitHub private vulnerability reporting or support@landing.ai.", "RDAP for landing.ai gives a registration date of 2017-12-15 and Key-Systems GmbH as registrar.", "The trust centre at trust.landing.ai is drawn by script and showed our reader only its title, so the sub-processor list and compliance reports were not read." ], "score": 76 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/landingai-agentic-document-extraction.json", "live": { "slug": "landingai-agentic-document-extraction", "probe": { "target": "https://api.ade.landing.ai", "method": "get", "lastAt": "2026-10-10T03:53:31.963203634Z", "lastOk": true, "lastStatus": 404, "lastMs": 301, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 300, "p95ms24h": 361, "samples24h": 125, "samples30d": 125, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "date": "2026-10-10", "probes": 40, "ok": 40 } ] }, "vendorStatus": { "page": "https://status.landing.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-10T00:50:45.144124198Z" }, "versions": [ { "registry": "github", "name": "landing-ai/ade-python", "version": "v1.18.1", "released": "2026-09-17", "seenAt": "2026-10-09T17:01:18.849971761Z" }, { "registry": "npm", "name": "landingai-ade", "version": "2.13.1", "seenAt": "2026-10-09T17:01:18.017039484Z" }, { "registry": "pypi", "name": "landingai-ade", "version": "1.18.1", "released": "2026-09-17", "seenAt": "2026-10-09T17:01:17.817666514Z" } ], "githubStars": 1034, "npmWeekly": 5401, "pypiWeekly": 27686, "pages": [ { "url": "https://docs.landing.ai/dpt3/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:37:36.954323206Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "57bf76e17c06" }, { "url": "https://docs.landing.ai/ade/ade-pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:37:34.762764189Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ad0ee52319b9" }, { "url": "https://landing.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:40:52.205925369Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "2592e638a214" }, { "url": "https://landing.ai/va-tos", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:40:54.687010711Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "0b8a537d9745" } ], "updatedAt": "2026-10-10T03:53:31.963203634Z" } }, "answer": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against LlamaParse API + MCP's 59.2 (C), and leads in 4 of 7 scored categories. LlamaParse API + MCP leads on security \u0026 auth.", "b": { "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": 59.2, "grade": "C", "agentReady": false, "rank": 556, "ranked": true, "rankOf": 950, "categoryRank": 8, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 72, "maintenance": 80, "payments": 40, "reliability": 55, "schema": 82, "security": 48, "transparency": 66 }, "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).", "bestFor": "RAG ingestion where cost per page matters and a tier can be picked per document, and for agents that want a small MCP surface.", "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": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 59.2 } ], "editorialScores": { "ergonomics": 72, "maintenance": 80, "payments": 40, "reliability": 55, "schema": 82, "security": 48, "transparency": 57 }, "provenanceScore": 75 }, "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": 75 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/llamaparse.json", "live": { "slug": "llamaparse", "probe": { "target": "https://api.cloud.llamaindex.ai/api/v2", "method": "get", "lastAt": "2026-10-10T03:53:32.766952294Z", "lastOk": true, "lastStatus": 404, "lastMs": 266, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 265, "p95ms24h": 347, "samples24h": 249, "samples30d": 2476, "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": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 40, "ok": 40 } ] }, "vendorStatus": { "page": "https://llamaindex.statuspage.io", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-10T03:58:27.316112156Z" }, "versions": [ { "registry": "npm", "name": "@llamaindex/llama-cloud", "version": "2.17.0", "seenAt": "2026-10-09T17:02:53.982736687Z" }, { "registry": "pypi", "name": "llama-cloud", "version": "2.17.0", "released": "2026-10-07", "seenAt": "2026-10-09T17:02:53.790081173Z" } ], "npmWeekly": 137753, "pypiWeekly": 734064, "securityTxt": { "url": "https://llamaindex.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:40:12.946924574Z" }, "llmsTxt": { "url": "https://developers.llamaindex.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:02:14.408328434Z" }, "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": "2026-10-09T18:36:00.769772803Z", "changedAt": "2026-10-05T15:55:12.724880906Z", "fingerprint": "f459fc623003" }, { "url": "https://www.llamaindex.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:51:42.709281301Z", "changedAt": "2026-10-03T15:38:55.926108356Z", "fingerprint": "b6005fd3e792" }, { "url": "https://www.llamaindex.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:51:45.071460612Z", "changedAt": "2026-10-02T15:27:11.3765692Z", "fingerprint": "7c62ab9bc94a" }, { "url": "https://www.llamaindex.ai/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:51:46.989207965Z", "changedAt": "2026-10-02T15:27:13.419682312Z", "fingerprint": "c78e06852376" } ], "updatedAt": "2026-10-10T03:58:27.316112156Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "LandingAI, Inc.", "b": "LlamaIndex", "name": "Vendor" }, { "a": "https://api.ade.landing.ai", "b": "https://api.cloud.llamaindex.ai/api/v2", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "API key", "b": "OAuth or key", "name": "Auth" }, { "a": "Pay per use", "b": "Freemium", "name": "Pricing" }, { "a": "$15 per 1,000 pages", "b": "$1.25 per 1,000 pages", "name": "Price for document parsing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under LandingAI's terms for Agentic Document Extraction. The Python and TypeScript libraries and the CLI are Apache-2.0, and the skills repository is MIT", "b": "none", "name": "Licence" }, { "a": "none", "b": "26", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-22", "b": "2026-09-08", "name": "Last release" }, { "a": "no date given", "b": "2024-06-07", "name": "Terms last updated" }, { "a": "no date given", "b": "2026-08-24", "name": "Privacy policy last updated" }, { "a": "yes", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "yes", "b": "yes", "name": "Terms restrict automated access" }, { "a": "yes", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "4.3k stars, 125k npm/wk, 767k PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "3.5/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against LlamaParse API + MCP's 59.2 (C), and leads in 4 of 7 scored categories. LlamaParse API + MCP leads on security \u0026 auth.", "question": "Which is better for AI agents, LandingAI Agentic Document Extraction or LlamaParse API + MCP?" }, { "answer": "LlamaParse API + MCP, at $1.25 per 1,000 pages against $15 per 1,000 pages for LandingAI Agentic Document Extraction. These are the vendors' published prices for the job.", "question": "Which is cheaper for document parsing, LandingAI Agentic Document Extraction or LlamaParse API + MCP?" }, { "answer": "LandingAI Agentic Document Extraction needs an API key. LlamaParse API + MCP takes an API key or an OAuth sign-in.", "question": "Do LandingAI Agentic Document Extraction and LlamaParse API + MCP need an API key?" }, { "answer": "Yes. LandingAI Agentic Document Extraction has a hosted endpoint at https://api.ade.landing.ai and LlamaParse API + MCP at https://api.cloud.llamaindex.ai/api/v2.", "question": "Can an agent call LandingAI Agentic Document Extraction and LlamaParse API + MCP without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 85 against 55", "Schema \u0026 documentation, 88 against 82", "Maintenance \u0026 community, 85 against 80" ], "also": [ "No incidents deducted, where LlamaParse API + MCP loses 3 points for them" ], "goodFor": "Agents that need Markdown with block-level page coordinates and schema extraction with citations, in the US or EU.", "slug": "landingai-agentic-document-extraction", "watchFor": "The Explore plan has one API key that cannot be deleted or revoked. A leaked key is replaced by emailing support" }, { "aheadOn": [ "Security \u0026 auth, 48 against 43" ], "also": [ "Cheaper for document parsing, $1.25 against $15 per 1,000 pages" ], "goodFor": "RAG ingestion where cost per page matters and a tier can be picked per document, and for agents that want a small MCP surface.", "slug": "llamaparse", "watchFor": "Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed)" } ], "job": { "capability": "docs.parse", "name": "Document parsing" }, "others": [ { "json": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-landingai-agentic-document-extraction.json", "title": "Adobe PDF Services / PDF Extract API vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-landingai-agentic-document-extraction" }, { "json": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-llamaparse.json", "title": "Adobe PDF Services / PDF Extract API vs LlamaParse API + MCP", "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-llamaparse" }, { "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-landingai-agentic-document-extraction.json", "title": "Amazon Textract vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-landingai-agentic-document-extraction" }, { "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-llamaparse.json", "title": "Amazon Textract vs LlamaParse API + MCP", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-llamaparse" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-landingai-agentic-document-extraction.json", "title": "Azure Document Intelligence vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-landingai-agentic-document-extraction" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-llamaparse.json", "title": "Azure Document Intelligence vs LlamaParse API + MCP", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-llamaparse" }, { "json": "https://www.anchorterminal.com/compare/extend-vs-landingai-agentic-document-extraction.json", "title": "Extend API + MCP vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/extend-vs-landingai-agentic-document-extraction" }, { "json": "https://www.anchorterminal.com/compare/extend-vs-llamaparse.json", "title": "Extend API + MCP vs LlamaParse API + MCP", "url": "https://www.anchorterminal.com/compare/extend-vs-llamaparse" }, { "json": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-landingai-agentic-document-extraction.json", "title": "Google Cloud Document AI vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-landingai-agentic-document-extraction" }, { "json": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-llamaparse.json", "title": "Google Cloud Document AI vs LlamaParse API + MCP", "url": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-llamaparse" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mistral-ocr.json", "title": "LandingAI Agentic Document Extraction vs Mistral OCR API", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mistral-ocr" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-nanonets.json", "title": "LandingAI Agentic Document Extraction vs Nanonets API + MCP", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-nanonets" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-opendocrouter.json", "title": "LandingAI Agentic Document Extraction vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-reducto.json", "title": "LandingAI Agentic Document Extraction vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-unstructured.json", "title": "LandingAI Agentic Document Extraction vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-unstructured" }, { "json": "https://www.anchorterminal.com/compare/llamaparse-vs-mistral-ocr.json", "title": "LlamaParse API + MCP vs Mistral OCR API", "url": "https://www.anchorterminal.com/compare/llamaparse-vs-mistral-ocr" }, { "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/llamaparse-vs-reducto.json", "title": "LlamaParse API + MCP vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/llamaparse-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/llamaparse-vs-unstructured.json", "title": "LlamaParse API + MCP vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/llamaparse-vs-unstructured" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mindee.json", "title": "LandingAI Agentic Document Extraction vs Mindee API", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mindee" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-veryfi.json", "title": "LandingAI Agentic Document Extraction vs Veryfi API + MCP", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-veryfi" }, { "json": "https://www.anchorterminal.com/compare/llamaparse-vs-mindee.json", "title": "LlamaParse API + MCP vs Mindee API", "url": "https://www.anchorterminal.com/compare/llamaparse-vs-mindee" }, { "json": "https://www.anchorterminal.com/compare/llamaparse-vs-veryfi.json", "title": "LlamaParse API + MCP vs Veryfi API + MCP", "url": "https://www.anchorterminal.com/compare/llamaparse-vs-veryfi" }, { "json": "https://www.anchorterminal.com/compare/invofox-vs-landingai-agentic-document-extraction.json", "title": "Invofox vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/invofox-vs-landingai-agentic-document-extraction" }, { "json": "https://www.anchorterminal.com/compare/invofox-vs-llamaparse.json", "title": "Invofox vs LlamaParse API + MCP", "url": "https://www.anchorterminal.com/compare/invofox-vs-llamaparse" } ], "scores": [ { "by": 30, "edge": "landingai-agentic-document-extraction", "key": "reliability", "landingai-agentic-document-extraction": 85, "llamaparse": 55, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 6, "edge": "landingai-agentic-document-extraction", "key": "schema", "landingai-agentic-document-extraction": 88, "llamaparse": 82, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 3, "edge": "landingai-agentic-document-extraction", "key": "ergonomics", "landingai-agentic-document-extraction": 75, "llamaparse": 72, "name": "Agent ergonomics", "weight": 13 }, { "by": 5, "edge": "llamaparse", "key": "security", "landingai-agentic-document-extraction": 43, "llamaparse": 48, "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "landingai-agentic-document-extraction": 40, "llamaparse": 40, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 5, "edge": "landingai-agentic-document-extraction", "key": "maintenance", "landingai-agentic-document-extraction": 85, "llamaparse": 80, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 3, "edge": "llamaparse", "key": "transparency", "landingai-agentic-document-extraction": 63, "llamaparse": 66, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against LlamaParse API + MCP's 59.2 (C), and leads in 4 of 7 scored categories. LlamaParse API + MCP leads on security \u0026 auth. Both do document parsing. LlamaParse API + MCP is cheaper for document parsing, $1.25 against $15 per 1,000 pages.", "verdicts": { "landingai-agentic-document-extraction": "Parse, Extract and Ground have a public OpenAPI description, Markdown docs, published credit rates and page limits, and a status page showing no incident in 90 days. The Explore plan's single API key cannot be revoked without support, and the published terms let LandingAI train on customer documents unless Zero Data Retention, a Team and Enterprise setting, is on.", "llamaparse": "Free plan with 10,000 credits a month, no card. Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed)." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse", "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.md", "slim": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.min.md" }, "markdown": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against LlamaParse API + MCP's 59.2 (C), and leads in 4 of 7 scored categories. LlamaParse API + MCP leads on security \u0026 auth. Both do document parsing. LlamaParse API + MCP is cheaper for document parsing, $1.25 against $15 per 1,000 pages.\n\n- LandingAI Agentic Document Extraction: grade B, 69/100, rank #199 of 950. Markdown https://www.anchorterminal.com/tools/landingai-agentic-document-extraction.md · JSON https://www.anchorterminal.com/api/v1/tools/landingai-agentic-document-extraction.json\n- LlamaParse API + MCP: grade C, 59.2/100, rank #556 of 950. Markdown https://www.anchorterminal.com/tools/llamaparse.md · JSON https://www.anchorterminal.com/api/v1/tools/llamaparse.json\n- Best document parsing, OCR and extraction APIs for AI agents: https://www.anchorterminal.com/best/document-extraction/index.md\n- All 109 documents comparisons: https://www.anchorterminal.com/compare/document-extraction/index.md\n\n## Which one, for what\n\n### LandingAI Agentic Document Extraction (B)\n\nGood for: Agents that need Markdown with block-level page coordinates and schema extraction with citations, in the US or EU.\n\nAhead on:\n- Reliability, 85 against 55\n- Schema \u0026 documentation, 88 against 82\n- Maintenance \u0026 community, 85 against 80\n\nAlso in its favour:\n- No incidents deducted, where LlamaParse API + MCP loses 3 points for them\n\nWatch for: The Explore plan has one API key that cannot be deleted or revoked. A leaked key is replaced by emailing support\n\n### LlamaParse API + MCP (C)\n\nGood for: RAG ingestion where cost per page matters and a tier can be picked per document, and for agents that want a small MCP surface.\n\nAhead on:\n- Security \u0026 auth, 48 against 43\n\nAlso in its favour:\n- Cheaper for document parsing, $1.25 against $15 per 1,000 pages\n\nWatch for: Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed)\n\n\n## Score by category\n\n| Category | Weight | LandingAI Agentic Document Extraction | LlamaParse API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 85 | 55 | LandingAI Agentic Document Extraction +30 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 88 | 82 | LandingAI Agentic Document Extraction +6 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 72 | LandingAI Agentic Document Extraction +3 |\n| Security \u0026 auth | 14% (17.5 this run) | 43 | 48 | LlamaParse API + MCP +5 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 40 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 80 | LandingAI Agentic Document Extraction +5 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 63 | 66 | LlamaParse API + MCP +3 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **69 · B** | **59.2 · C** | |\n\n## Facts side by side\n\n| Fact | LandingAI Agentic Document Extraction | LlamaParse API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | LandingAI, Inc. | LlamaIndex |\n| Hosted endpoint | `https://api.ade.landing.ai` | `https://api.cloud.llamaindex.ai/api/v2` |\n| Transports | HTTP | HTTP, Streamable HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Pay per use | Freemium |\n| Price for document parsing | $15 per 1,000 pages | $1.25 per 1,000 pages |\n| x402 | no | no |\n| Licence | Proprietary service under LandingAI's terms for Agentic Document Extraction. The Python and TypeScript libraries and the CLI are Apache-2.0, and the skills repository is MIT | none |\n| Tools exposed | none | 26 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-22 | 2026-09-08 |\n| Terms last updated | no date given | 2024-06-07 |\n| Privacy policy last updated | no date given | 2026-08-24 |\n| Customer content may train models | yes | not found in the text |\n| Terms restrict automated access | yes | yes |\n| Terms restrict benchmarking | yes | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | none | 4.3k stars, 125k npm/wk, 767k PyPI/wk |\n| Agent reviews | none | 3.5/5 (2) |\n\n## Verdicts\n\n**LandingAI Agentic Document Extraction.** Parse, Extract and Ground have a public OpenAPI description, Markdown docs, published credit rates and page limits, and a status page showing no incident in 90 days. The Explore plan's single API key cannot be revoked without support, and the published terms let LandingAI train on customer documents unless Zero Data Retention, a Team and Enterprise setting, is on.\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## Before you call either\n\n### LandingAI Agentic Document Extraction\n\n1. Send `Authorization: Bearer \u003ckey\u003e` to `https://api.ade.landing.ai/v2/parse`. EU keys work only on `https://api.ade.eu-west-1.landing.ai`\n2. Submit large files to `/v2/parse/jobs`. Synchronous parse times out at 475 seconds and is capped at the plan's pages-per-minute limit\n3. Leave jobs on the `standard` tier unless speed matters. It consumes half the credits of `priority`\n4. Run Extract on the Markdown that Parse returned, then call Ground for page numbers and boxes. Ground consumes no credits\n5. On a 429, read the message. One case clears with backoff and the other means the document is too large for the tier\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## Questions\n\n### Which is better for AI agents, LandingAI Agentic Document Extraction or LlamaParse API + MCP?\n\nLandingAI Agentic Document Extraction scores 69 (B) on agent readiness against LlamaParse API + MCP's 59.2 (C), and leads in 4 of 7 scored categories. LlamaParse API + MCP leads on security \u0026 auth.\n\n### Which is cheaper for document parsing, LandingAI Agentic Document Extraction or LlamaParse API + MCP?\n\nLlamaParse API + MCP, at $1.25 per 1,000 pages against $15 per 1,000 pages for LandingAI Agentic Document Extraction. These are the vendors' published prices for the job.\n\n### Do LandingAI Agentic Document Extraction and LlamaParse API + MCP need an API key?\n\nLandingAI Agentic Document Extraction needs an API key. LlamaParse API + MCP takes an API key or an OAuth sign-in.\n\n### Can an agent call LandingAI Agentic Document Extraction and LlamaParse API + MCP without installing anything?\n\nYes. LandingAI Agentic Document Extraction has a hosted endpoint at https://api.ade.landing.ai and LlamaParse API + MCP at https://api.cloud.llamaindex.ai/api/v2.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.json, and with the fewest tokens: https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"landingai-agentic-document-extraction\", \"b\": \"llamaparse\"}`. From a terminal: `anchor compare landingai-agentic-document-extraction llamaparse`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/landingai-agentic-document-extraction.json and https://www.anchorterminal.com/api/v1/tools/llamaparse.json\n\n## Other comparisons with LandingAI Agentic Document Extraction or LlamaParse API + MCP\n\n- [Adobe PDF Services / PDF Extract API vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-landingai-agentic-document-extraction.md)\n- [Adobe PDF Services / PDF Extract API vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-llamaparse.md)\n- [Amazon Textract vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/amazon-textract-vs-landingai-agentic-document-extraction.md)\n- [Amazon Textract vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/amazon-textract-vs-llamaparse.md)\n- [Azure Document Intelligence vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-landingai-agentic-document-extraction.md)\n- [Azure Document Intelligence vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-llamaparse.md)\n- [Extend API + MCP vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/extend-vs-landingai-agentic-document-extraction.md)\n- [Extend API + MCP vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/extend-vs-llamaparse.md)\n- [Google Cloud Document AI vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-landingai-agentic-document-extraction.md)\n- [Google Cloud Document AI vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-llamaparse.md)\n- [LandingAI Agentic Document Extraction vs Mistral OCR API](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mistral-ocr.md)\n- [LandingAI Agentic Document Extraction vs Nanonets API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-nanonets.md)\n- [LandingAI Agentic Document Extraction vs OpenDocRouter](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-opendocrouter.md)\n- [LandingAI Agentic Document Extraction vs Reducto API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-reducto.md)\n- [LandingAI Agentic Document Extraction vs Unstructured API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-unstructured.md)\n- [LlamaParse API + MCP vs Mistral OCR API](https://www.anchorterminal.com/compare/llamaparse-vs-mistral-ocr.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- [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- [LandingAI Agentic Document Extraction vs Mindee API](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mindee.md)\n- [LandingAI Agentic Document Extraction vs Veryfi API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-veryfi.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- [Invofox vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/invofox-vs-landingai-agentic-document-extraction.md)\n- [Invofox vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/invofox-vs-llamaparse.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-10", "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": "LandingAI Agentic Document Extraction vs LlamaParse API + MCP", "url": "" } ], "description": "LandingAI Agentic Document Extraction scores 69 (B) to LlamaParse's 59.2 (C) for document parsing. LlamaParse is cheaper for document parsing, $1.25 against $15 per 1,000 pages. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "LandingAI Agentic Document Extraction B 69", "LlamaParse API + MCP C 59.2", "scores" ], "h1": "LandingAI Agentic Document Extraction vs LlamaParse API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-landingai-agentic-document-extraction-vs-llamaparse.png", "path": "/compare/landingai-agentic-document-extraction-vs-llamaparse", "published": "2026-10-01", "section": "tools", "title": "LandingAI Agentic Document Extraction vs LlamaParse (2026)", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse" }, "tokens": { "markdown": 3050, "slim": 780 }, "version": 1 }