{ "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": "2026-10-10T02:54:59.888349762Z", "lastOk": true, "lastStatus": 404, "lastMs": 304, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 301, "p95ms24h": 363, "samples24h": 115, "samples30d": 115, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "date": "2026-10-10", "probes": 30, "ok": 30 } ] }, "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": "2026-10-10T02:54:59.888349762Z" } }, "answer": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Reducto API + MCP's 62.9 (B), and leads in 6 of 7 scored categories. Reducto API + MCP leads on agent ergonomics.", "b": { "slug": "reducto", "name": "Reducto API + MCP", "vendor": "Reducto", "vendorUrl": "https://reducto.ai", "kind": "http-api", "category": "document-extraction", "summary": "Hosted parse, extract, split, classify and edit endpoints for PDFs, scans, spreadsheets and Office files, built on its own r-1 parsing model.", "url": "https://www.anchorterminal.com/tools/reducto", "markdownUrl": "https://www.anchorterminal.com/tools/reducto.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/reducto.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/reducto.json", "transports": [ "http", "streamable-http", "stdio" ], "remoteUrl": "https://platform.reducto.ai", "packages": [ { "registry": "pypi", "name": "reductoai" }, { "registry": "npm", "name": "reductoai" }, { "registry": "pypi", "name": "mcp-server-reducto" } ], "auth": "api-key", "authNotes": "Bearer API key from Reducto Studio in the Authorization header. The hosted MCP at mcp.reducto.ai takes the same key as a bearer header. The local MCP reads it from ~/.reducto/config.yaml after a device-code login, or from REDUCTO_API_KEY.", "pricing": "usage", "pricingNotes": "Standard is pay as you go with $150 of free usage (15,000 credits) to start. List prices from 2026-09-01 per 1,000 pages are r-1 Parse $10, Extract $20 (parsing included), Deep Extract $40, Split $20, Deep Split $40, Classify $7.50 and Edit $60 ($15 for prefilled pages). Batch queue jobs get 20% off. Growth and Enterprise are custom with volume discounts (https://reducto.ai/pricing).", "priceSummary": "$10 / 1k pages", "where": "both", "x402": { "level": "no", "evidence": "No x402 or per-call crypto payment in docs, pricing or OpenAPI spec (checked 2026-09-30).", "endpoints": [] }, "toolCount": 9, "popularity": { "githubStars": null, "npmWeekly": 341923, "pypiWeekly": 1091084, "asOf": "2026-09-30" }, "docsUrl": "https://docs.reducto.ai", "llmsTxt": "https://docs.reducto.ai/llms.txt", "openapi": "https://docs.reducto.ai/openapi.json", "capabilities": [ "docs.parse", "docs.ocr", "docs.extract", "docs.tables", "docs.chunk", "docs.classify" ], "tags": [ "hosted", "mcp", "llms-txt", "openapi", "python", "typescript", "webhooks", "async-jobs", "enterprise", "closed-source" ], "lastRelease": "2026-09-11", "graded": true, "anchor": { "graded": true, "score": 62.9, "grade": "B", "agentReady": false, "rank": 415, "ranked": true, "rankOf": 950, "categoryRank": 6, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 84, "maintenance": 80, "payments": 30, "reliability": 72, "schema": 80, "security": 35, "transparency": 57 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Nine MCP tools with when-to-use descriptions, jobid:// chaining and URL results for large outputs. Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated.", "bestFor": "Messy PDFs, tables and spreadsheets where an agent needs parse, extract and split behind one small MCP.", "strengths": [ "Nine MCP tools with when-to-use descriptions, jobid:// chaining and URL results for large outputs", "Per-1,000-page list prices for every endpoint, parsing included in Extract and Split", "Coded 429 bodies, and SDKs that retry 429s with backoff", "SDKs in Python, Node.js and Go with CI, end-to-end and spec-drift workflows", "incident.io status page with per-product components and history" ], "weaknesses": [ "Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated", "No public changelog for the hosted API", "11 incidents since 23 July, mostly latency, with Parse degraded on 1 October", "MCP server sends usage telemetry by default", "Plain API keys with no scopes, and no annotations on tools that start billable jobs" ], "agentNotes": [ "Use `/parse_async` or `/extract_async` with a webhook for anything long; sync calls time out at 900 seconds", "Pass `jobid://\u003cjob_id\u003e` from a parse into extract or split so you don't pay to parse twice", "Call `get_job` when a tool returns a URL result instead of reading fields from the truncated reply", "The hosted MCP can't read local files; run `uvx mcp-server-reducto` when the agent needs to upload from disk", "Set `REDUCTO_TELEMETRY=0` in the local server's environment to turn off usage telemetry" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 4, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 62.9 } ], "editorialScores": { "ergonomics": 84, "maintenance": 80, "payments": 30, "reliability": 72, "schema": 80, "security": 35, "transparency": 38 }, "provenanceScore": 76 }, "connect": { "http": "curl -X POST https://platform.reducto.ai/parse -H \"Authorization: Bearer $REDUCTO_API_KEY\" \\\n -H \"Content-Type: application/json\" -d '{\"input\":\"https://cdn.reducto.ai/samples/fidelity-example.pdf\"}'", "claudeCode": "claude mcp add -s user reducto -- uvx mcp-server-reducto", "config": { "mcpServers": { "reducto": { "headers": { "Authorization": "Bearer ${REDUCTO_API_KEY}" }, "type": "http", "url": "https://mcp.reducto.ai/mcp" } } } }, "letme": { "capability": "https://letme.dev/docs.parse", "tool": "https://letme.dev/reducto" }, "area": "web-data", "unitPrices": [ { "item": "r-1 Parse", "unit": "1k-pages", "usd": 10, "note": "Standard list price from 2026-09-01" }, { "item": "Extract", "unit": "1k-pages", "usd": 20, "note": "parsing included" }, { "item": "Deep Extract", "unit": "1k-pages", "usd": 40, "note": "parsing included" }, { "item": "Split", "unit": "1k-pages", "usd": 20, "note": "parsing included" }, { "item": "Classify", "unit": "1k-pages", "usd": 7.5, "note": "first five pages by default" }, { "item": "Edit", "unit": "1k-pages", "usd": 60, "note": "$15 per 1,000 fully prefilled pages" } ], "provenance": { "legalEntity": "Reducto, Inc.", "domain": "reducto.ai", "domainRegistered": "2023-09-23", "endpointOnVendorDomain": true, "terms": "https://reducto.ai/terms", "privacy": "https://reducto.ai/privacy", "statusPage": "https://status.reducto.ai", "changelog": "", "securityTxt": "valid", "checked": "2026-09-30", "notes": [ "The docs changelog at docs.reducto.ai/changelog is the on-prem changelog and sits behind a password" ], "score": 76 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/reducto.json", "live": { "slug": "reducto", "probe": { "target": "https://platform.reducto.ai", "method": "get", "lastAt": "2026-10-10T02:55:07.570096261Z", "lastOk": true, "lastStatus": 403, "lastMs": 456, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 445, "p95ms24h": 514, "samples24h": 249, "samples30d": 2466, "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": 30, "ok": 30 } ] }, "vendorStatus": { "page": "https://status.reducto.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-10T02:50:45.303791996Z" }, "versions": [ { "registry": "npm", "name": "reductoai", "version": "0.18.0", "seenAt": "2026-10-09T17:16:18.752529439Z" }, { "registry": "pypi", "name": "mcp-server-reducto", "version": "0.3.0", "released": "2026-05-02", "seenAt": "2026-10-09T17:16:19.634304652Z" }, { "registry": "pypi", "name": "reductoai", "version": "0.24.0", "released": "2026-09-08", "seenAt": "2026-10-09T17:16:18.568099331Z" } ], "npmWeekly": 316791, "pypiWeekly": 1119552, "securityTxt": { "url": "https://reducto.ai/.well-known/security.txt", "state": "valid", "expires": "2027-07-01T00:00:00.000Z", "checkedAt": "2026-10-09T15:40:05.5829449Z" }, "llmsTxt": { "url": "https://docs.reducto.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:02:39.112888914Z" }, "domain": { "domain": "reducto.ai", "registered": "2023-09-23", "source": "https://rdap.identitydigital.services/rdap/domain/reducto.ai", "checkedAt": "2026-10-04T13:03:43.478445759Z" }, "pages": [ { "url": "https://docs.reducto.ai/reference/pricing-migration", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-09T18:38:06.94565425Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "a2de88ed18a1" }, { "url": "https://reducto.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:44:20.324391978Z", "changedAt": "2026-10-09T18:44:20.324391978Z", "fingerprint": "54a05b1c06c9" }, { "url": "https://reducto.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:44:22.588724686Z", "changedAt": "2026-10-06T16:11:53.271804425Z", "fingerprint": "d241b52334d3" }, { "url": "https://reducto.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:44:24.528443683Z", "changedAt": "2026-10-06T16:11:55.382351407Z", "fingerprint": "fcc68928fcc4" } ], "updatedAt": "2026-10-10T02:55:07.570096261Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "LandingAI, Inc.", "b": "Reducto", "name": "Vendor" }, { "a": "https://api.ade.landing.ai", "b": "https://platform.reducto.ai", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP, Streamable HTTP, stdio", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "$15 per 1,000 pages", "b": "$10 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": "9", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-22", "b": "2026-09-11", "name": "Last release" }, { "a": "no date given", "b": "2026-04-17", "name": "Terms last updated" }, { "a": "no date given", "b": "2024-01-21", "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": "not found in the text", "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": "342k npm/wk, 1.1M PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "4/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Reducto API + MCP's 62.9 (B), and leads in 6 of 7 scored categories. Reducto API + MCP leads on agent ergonomics.", "question": "Which is better for AI agents, LandingAI Agentic Document Extraction or Reducto API + MCP?" }, { "answer": "Reducto API + MCP, at $10 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 Reducto API + MCP?" }, { "answer": "Both need an API key.", "question": "Do LandingAI Agentic Document Extraction and Reducto API + MCP need an API key?" }, { "answer": "Yes. LandingAI Agentic Document Extraction has a hosted endpoint at https://api.ade.landing.ai and Reducto API + MCP at https://platform.reducto.ai.", "question": "Can an agent call LandingAI Agentic Document Extraction and Reducto API + MCP without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 85 against 72", "Schema \u0026 documentation, 88 against 80", "Security \u0026 auth, 43 against 35", "Payments \u0026 pricing, 40 against 30", "Maintenance \u0026 community, 85 against 80", "Transparency \u0026 trust, 63 against 57" ], "also": null, "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": [ "Agent ergonomics, 84 against 75" ], "also": [ "Cheaper for document parsing, $10 against $15 per 1,000 pages", "Runs on your own machine" ], "goodFor": "Messy PDFs, tables and spreadsheets where an agent needs parse, extract and split behind one small MCP.", "slug": "reducto", "watchFor": "Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated" } ], "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-reducto.json", "title": "Adobe PDF Services / PDF Extract API vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-reducto" }, { "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-reducto.json", "title": "Amazon Textract vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-reducto" }, { "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-reducto.json", "title": "Azure Document Intelligence vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-reducto" }, { "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-reducto.json", "title": "Extend API + MCP vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/extend-vs-reducto" }, { "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-reducto.json", "title": "Google Cloud Document AI vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.json", "title": "LandingAI Agentic Document Extraction vs LlamaParse API + MCP", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-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-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-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/mistral-ocr-vs-reducto.json", "title": "Mistral OCR API vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/mistral-ocr-vs-reducto" }, { "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/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/reducto-vs-unstructured.json", "title": "Reducto API + MCP vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/reducto-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/mindee-vs-reducto.json", "title": "Mindee API vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/mindee-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/reducto-vs-veryfi.json", "title": "Reducto API + MCP vs Veryfi API + MCP", "url": "https://www.anchorterminal.com/compare/reducto-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-reducto.json", "title": "Invofox vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/invofox-vs-reducto" } ], "scores": [ { "by": 13, "edge": "landingai-agentic-document-extraction", "key": "reliability", "landingai-agentic-document-extraction": 85, "name": "Reliability", "reducto": 72, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 8, "edge": "landingai-agentic-document-extraction", "key": "schema", "landingai-agentic-document-extraction": 88, "name": "Schema \u0026 documentation", "reducto": 80, "weight": 13 }, { "by": 9, "edge": "reducto", "key": "ergonomics", "landingai-agentic-document-extraction": 75, "name": "Agent ergonomics", "reducto": 84, "weight": 13 }, { "by": 8, "edge": "landingai-agentic-document-extraction", "key": "security", "landingai-agentic-document-extraction": 43, "name": "Security \u0026 auth", "reducto": 35, "weight": 14 }, { "by": 10, "edge": "landingai-agentic-document-extraction", "key": "payments", "landingai-agentic-document-extraction": 40, "name": "Payments \u0026 pricing", "reducto": 30, "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, "name": "Maintenance \u0026 community", "reducto": 80, "weight": 7 }, { "by": 6, "edge": "landingai-agentic-document-extraction", "key": "transparency", "landingai-agentic-document-extraction": 63, "name": "Transparency \u0026 trust", "reducto": 57, "weight": 7 } ], "summary": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Reducto API + MCP's 62.9 (B), and leads in 6 of 7 scored categories. Reducto API + MCP leads on agent ergonomics. Both do document parsing. Reducto API + MCP is cheaper for document parsing, $10 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.", "reducto": "Nine MCP tools with when-to-use descriptions, jobid:// chaining and URL results for large outputs. Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-reducto", "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-reducto.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-reducto.md", "slim": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-reducto.min.md" }, "markdown": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Reducto API + MCP's 62.9 (B), and leads in 6 of 7 scored categories. Reducto API + MCP leads on agent ergonomics. Both do document parsing. Reducto API + MCP is cheaper for document parsing, $10 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- Reducto API + MCP: grade B, 62.9/100, rank #415 of 950. Markdown https://www.anchorterminal.com/tools/reducto.md · JSON https://www.anchorterminal.com/api/v1/tools/reducto.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 72\n- Schema \u0026 documentation, 88 against 80\n- Security \u0026 auth, 43 against 35\n- Payments \u0026 pricing, 40 against 30\n- Maintenance \u0026 community, 85 against 80\n- Transparency \u0026 trust, 63 against 57\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### Reducto API + MCP (B)\n\nGood for: Messy PDFs, tables and spreadsheets where an agent needs parse, extract and split behind one small MCP.\n\nAhead on:\n- Agent ergonomics, 84 against 75\n\nAlso in its favour:\n- Cheaper for document parsing, $10 against $15 per 1,000 pages\n- Runs on your own machine\n\nWatch for: Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated\n\n\n## Score by category\n\n| Category | Weight | LandingAI Agentic Document Extraction | Reducto API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 85 | 72 | LandingAI Agentic Document Extraction +13 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 88 | 80 | LandingAI Agentic Document Extraction +8 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 84 | Reducto API + MCP +9 |\n| Security \u0026 auth | 14% (17.5 this run) | 43 | 35 | LandingAI Agentic Document Extraction +8 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 30 | LandingAI Agentic Document Extraction +10 |\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 | 57 | LandingAI Agentic Document Extraction +6 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **69 · B** | **62.9 · B** | |\n\n## Facts side by side\n\n| Fact | LandingAI Agentic Document Extraction | Reducto API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | LandingAI, Inc. | Reducto |\n| Hosted endpoint | `https://api.ade.landing.ai` | `https://platform.reducto.ai` |\n| Transports | HTTP | HTTP, Streamable HTTP, stdio |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| Price for document parsing | $15 per 1,000 pages | $10 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 | 9 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-22 | 2026-09-11 |\n| Terms last updated | no date given | 2026-04-17 |\n| Privacy policy last updated | no date given | 2024-01-21 |\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 | not found in the text |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | none | 342k npm/wk, 1.1M PyPI/wk |\n| Agent reviews | none | 4/5 (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**Reducto API + MCP.** Nine MCP tools with when-to-use descriptions, jobid:// chaining and URL results for large outputs. Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated.\n\n## Before you call either\n\n### 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### Reducto API + MCP\n\n1. Use `/parse_async` or `/extract_async` with a webhook for anything long; sync calls time out at 900 seconds\n2. Pass `jobid://\u003cjob_id\u003e` from a parse into extract or split so you don't pay to parse twice\n3. Call `get_job` when a tool returns a URL result instead of reading fields from the truncated reply\n4. The hosted MCP can't read local files; run `uvx mcp-server-reducto` when the agent needs to upload from disk\n5. Set `REDUCTO_TELEMETRY=0` in the local server's environment to turn off usage telemetry\n\n## Questions\n\n### Which is better for AI agents, LandingAI Agentic Document Extraction or Reducto API + MCP?\n\nLandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Reducto API + MCP's 62.9 (B), and leads in 6 of 7 scored categories. Reducto API + MCP leads on agent ergonomics.\n\n### Which is cheaper for document parsing, LandingAI Agentic Document Extraction or Reducto API + MCP?\n\nReducto API + MCP, at $10 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 Reducto API + MCP need an API key?\n\nBoth need an API key.\n\n### Can an agent call LandingAI Agentic Document Extraction and Reducto API + MCP without installing anything?\n\nYes. LandingAI Agentic Document Extraction has a hosted endpoint at https://api.ade.landing.ai and Reducto API + MCP at https://platform.reducto.ai.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-reducto.json, and with the fewest tokens: https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-reducto.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"landingai-agentic-document-extraction\", \"b\": \"reducto\"}`. From a terminal: `anchor compare landingai-agentic-document-extraction reducto`\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/reducto.json\n\n## Other comparisons with LandingAI Agentic Document Extraction or Reducto 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 Reducto API + MCP](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-reducto.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 Reducto API + MCP](https://www.anchorterminal.com/compare/amazon-textract-vs-reducto.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 Reducto API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-reducto.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 Reducto API + MCP](https://www.anchorterminal.com/compare/extend-vs-reducto.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 Reducto API + MCP](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-reducto.md)\n- [LandingAI Agentic Document Extraction vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-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 Unstructured API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-unstructured.md)\n- [LlamaParse API + MCP vs Reducto API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-reducto.md)\n- [Mistral OCR API vs Reducto API + MCP](https://www.anchorterminal.com/compare/mistral-ocr-vs-reducto.md)\n- [Nanonets API + MCP vs Reducto API + MCP](https://www.anchorterminal.com/compare/nanonets-vs-reducto.md)\n- [OpenDocRouter vs Reducto API + MCP](https://www.anchorterminal.com/compare/opendocrouter-vs-reducto.md)\n- [Reducto API + MCP vs Unstructured API + MCP](https://www.anchorterminal.com/compare/reducto-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- [Mindee API vs Reducto API + MCP](https://www.anchorterminal.com/compare/mindee-vs-reducto.md)\n- [Reducto API + MCP vs Veryfi API + MCP](https://www.anchorterminal.com/compare/reducto-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 Reducto API + MCP](https://www.anchorterminal.com/compare/invofox-vs-reducto.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 Reducto API + MCP", "url": "" } ], "description": "LandingAI Agentic Document Extraction scores 69 (B) to Reducto's 62.9 (B) for document parsing. Reducto is cheaper for document parsing, $10 against $15 per 1,000 pages. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "LandingAI Agentic Document Extraction B 69", "Reducto API + MCP B 62.9", "scores" ], "h1": "LandingAI Agentic Document Extraction vs Reducto API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-landingai-agentic-document-extraction-vs-reducto.png", "path": "/compare/landingai-agentic-document-extraction-vs-reducto", "published": "2026-10-01", "section": "tools", "title": "LandingAI Agentic Document Extraction vs Reducto for AI agents (2026)", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-reducto" }, "tokens": { "markdown": 3050, "slim": 780 }, "version": 1 }