{ "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": "2026-10-10T02:07:13.693816637Z", "lastOk": true, "lastStatus": 404, "lastMs": 295, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 301, "p95ms24h": 363, "samples24h": 107, "samples30d": 107, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "date": "2026-10-10", "probes": 22, "ok": 22 } ] }, "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": "2026-10-10T02:07:13.693816637Z" } }, "answer": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Unstructured API + MCP's 46.9 (D), and leads in 6 of 7 scored categories.", "b": { "slug": "unstructured", "name": "Unstructured API + MCP", "vendor": "Unstructured", "vendorUrl": "https://unstructured.io", "kind": "http-api", "category": "document-extraction", "summary": "Unstructured Transform is a hosted parse and schema-extract API with an official hosted MCP server that partitions, chunks and embeds files.", "url": "https://www.anchorterminal.com/tools/unstructured", "markdownUrl": "https://www.anchorterminal.com/tools/unstructured.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/unstructured.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/unstructured.json", "repo": "https://github.com/Unstructured-IO/unstructured", "license": "Apache-2.0", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://transform.unstructured.io/api/v2", "packages": [ { "registry": "pypi", "name": "unstructured-transform-client" }, { "registry": "npm", "name": "unstructured-transform-client" }, { "registry": "pypi", "name": "unstructured" }, { "registry": "pypi", "name": "unstructured-client" } ], "auth": "mixed", "authNotes": "Transform API takes the key in an unstructured-api-key header. The hosted MCP uses OAuth, or the same key as a bearer token. Business customers get a separate API URL and one key per workspace from platform.unstructured.io or their dedicated instance.", "pricing": "usage", "pricingNotes": "Transform processes the first 10,000 pages free once per account, no card. After that pay as you go is $0.015 a page, billed monthly; requests fail past 10,000 pages until you add a card. Business (dedicated instance, VPC or multi-tenant SaaS) is custom. The open-source library is free and you pay only for your own compute (https://unstructured.io/pricing).", "priceSummary": "$15 / 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": null, "popularity": { "githubStars": 15520, "npmWeekly": 385, "pypiWeekly": 612156, "asOf": "2026-09-30" }, "docsUrl": "https://docs.unstructured.io/transform/overview", "llmsTxt": "https://docs.unstructured.io/llms.txt", "registryName": "io.unstructured/transform", "capabilities": [ "docs.parse", "docs.ocr", "docs.extract", "docs.tables", "docs.chunk" ], "tags": [ "hosted", "freemium", "no-card", "mcp", "llms-txt", "python", "typescript", "async-jobs", "enterprise", "open-source", "self-hosted", "local" ], "lastRelease": "2026-09-30", "graded": true, "anchor": { "graded": true, "score": 46.9, "grade": "D", "agentReady": false, "rank": 841, "ranked": true, "rankOf": 950, "categoryRank": 13, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 58, "maintenance": 80, "payments": 40, "reliability": 27, "schema": 51, "security": 42, "transparency": 51 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Apache-2.0 library partitions 45+ file types locally at no cost, tagged 11 times since 3 July. No status page, no published rate limits and no SLA.", "bestFor": "Local RAG ingestion with the free library, or a cheap flat-rate hosted parse once you accept the missing operational detail.", "strengths": [ "Apache-2.0 library partitions 45+ file types locally at no cost, tagged 11 times since 3 July", "Flat $0.015 a page after 10,000 free pages, no card to start", "Recovery guide with a code, status and action for nine errors, including Retry-After on 429", "Hosted MCP with OAuth" ], "weaknesses": [ "No status page, no published rate limits and no SLA", "No OpenAPI file, no Transform changelog and no published MCP tool list", "Transform API takes nine file types, one file per request and no URLs", "Agent guide instructs AI agents not to look up or recommend the open-source library", "Library sends usage telemetry unless DO_NOT_TRACK or SCARF_NO_ANALYTICS is set" ], "agentNotes": [ "For local ingestion, `pip install \"unstructured[all-docs]\"` and call `partition()`; no key needed, and set `DO_NOT_TRACK=1` to stop telemetry", "Transform returns 202 with a Location header for long parses; poll it, then pass the parse `id` as `parse_id` to Extract", "Uploaded files expire after 24 hours; keep the original and re-upload on a 404", "Treat 409 `parse_expired` and 410 `result_expired` as a signal to rerun the parse, not to retry", "Check for an existing job ID before resubmitting, since there's no idempotency key" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 46.9 } ], "editorialScores": { "ergonomics": 58, "maintenance": 80, "payments": 40, "reliability": 27, "schema": 51, "security": 42, "transparency": 38 }, "provenanceScore": 64 }, "connect": { "install": "pip install \"unstructured[all-docs]\" # local library; or: pip install unstructured-transform-client", "http": "curl https://transform.unstructured.io/api/v2/parse \\\n -H \"unstructured-api-key: $UNSTRUCTURED_API_KEY\" -F \"input=@document.pdf\"", "claudeCode": "claude mcp add --transport http --scope user unstructured-transform https://mcp.transform.unstructured.io" }, "letme": { "capability": "https://letme.dev/docs.parse", "tool": "https://letme.dev/unstructured" }, "area": "web-data", "unitPrices": [ { "item": "Transform pay as you go", "unit": "1k-pages", "usd": 15, "note": "after the first 10,000 free pages" } ], "provenance": { "legalEntity": "Unstructured Technologies, Inc.", "domain": "unstructured.io", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://unstructured.io/terms-and-conditions", "privacy": "https://unstructured.io/privacy-policy", "statusPage": "", "changelog": "https://github.com/Unstructured-IO/unstructured/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "RDAP has no service for .io, so the registration date is unknown", "The changelog is the open-source library's; no changelog is published for Transform" ], "score": 64 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/unstructured.json", "live": { "slug": "unstructured", "probe": { "target": "https://transform.unstructured.io/api/v2", "method": "get", "lastAt": "2026-10-10T02:07:29.089007446Z", "lastOk": true, "lastStatus": 404, "lastMs": 589, "authRequired": false, "uptime24h": 100, "uptime30d": 99.96, "p50ms24h": 589, "p95ms24h": 635, "samples24h": 250, "samples30d": 2458, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 247 }, { "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": 22, "ok": 22 } ] }, "versions": [ { "registry": "github", "name": "Unstructured-IO/unstructured", "version": "0.27.22", "released": "2026-10-08", "seenAt": "2026-10-09T17:26:14.854232221Z" }, { "registry": "mcp-registry", "name": "io.unstructured/transform", "version": "0.7.2", "seenAt": "2026-10-09T02:57:46.004536428Z" }, { "registry": "npm", "name": "unstructured-transform-client", "version": "0.18.84", "seenAt": "2026-10-09T17:26:10.870574733Z" }, { "registry": "pypi", "name": "unstructured", "version": "0.27.22", "released": "2026-10-08", "seenAt": "2026-10-09T17:26:11.692387612Z" }, { "registry": "pypi", "name": "unstructured-client", "version": "0.46.2", "released": "2026-08-24", "seenAt": "2026-10-09T17:26:12.843377832Z" }, { "registry": "pypi", "name": "unstructured-transform-client", "version": "0.18.84", "released": "2026-10-09", "seenAt": "2026-10-09T17:26:10.761039171Z" } ], "githubStars": 15553, "npmWeekly": 989, "pypiWeekly": 671, "securityTxt": { "url": "https://unstructured.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:40:29.431412331Z" }, "llmsTxt": { "url": "https://docs.unstructured.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:02:56.627809571Z" }, "domain": { "domain": "unstructured.io", "checkedAt": "2026-10-04T13:05:08.539121016Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/Unstructured-IO/unstructured/main/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:44:47.213811762Z", "changedAt": "2026-10-09T18:44:47.213811762Z", "fingerprint": "03355160b687" }, { "url": "https://unstructured.io/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:46:59.653334794Z", "changedAt": "2026-10-09T18:46:59.653334794Z", "fingerprint": "65dbd7df0e60" }, { "url": "https://unstructured.io/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:47:02.328541292Z", "changedAt": "2026-10-09T18:47:02.328541292Z", "fingerprint": "8329694374ae" }, { "url": "https://unstructured.io/terms-and-conditions", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:47:03.994222623Z", "changedAt": "2026-10-09T18:47:03.994222623Z", "fingerprint": "e87709caa110" } ], "updatedAt": "2026-10-10T02:07:29.089007446Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "LandingAI, Inc.", "b": "Unstructured", "name": "Vendor" }, { "a": "https://api.ade.landing.ai", "b": "https://transform.unstructured.io/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": "Pay per use", "name": "Pricing" }, { "a": "$15 per 1,000 pages", "b": "not published", "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": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "not listed", "b": "io.unstructured/transform", "name": "MCP registry" }, { "a": "2026-09-22", "b": "2026-09-30", "name": "Last release" }, { "a": "no date given", "b": "2026-07-09", "name": "Terms last updated" }, { "a": "no date given", "b": "2026-07-08", "name": "Privacy policy last updated" }, { "a": "yes", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "yes", "b": "not found in the text", "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": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "16k stars, 385 npm/wk, 612k PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "2.5/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Unstructured API + MCP's 46.9 (D), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, LandingAI Agentic Document Extraction or Unstructured API + MCP?" }, { "answer": "LandingAI Agentic Document Extraction needs an API key. Unstructured API + MCP takes an API key or an OAuth sign-in.", "question": "Do LandingAI Agentic Document Extraction and Unstructured API + MCP need an API key?" }, { "answer": "Yes. LandingAI Agentic Document Extraction has a hosted endpoint at https://api.ade.landing.ai and Unstructured API + MCP at https://transform.unstructured.io/api/v2.", "question": "Can an agent call LandingAI Agentic Document Extraction and Unstructured API + MCP without installing anything?" }, { "answer": "No open-source release is listed for LandingAI Agentic Document Extraction. Unstructured API + MCP is open source (Apache-2.0).", "question": "Are LandingAI Agentic Document Extraction and Unstructured API + MCP open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 85 against 27", "Schema \u0026 documentation, 88 against 51", "Agent ergonomics, 75 against 58", "Maintenance \u0026 community, 85 against 80", "Transparency \u0026 trust, 63 against 51" ], "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": null, "also": [ "Free to start without a card", "Open source" ], "goodFor": "Local RAG ingestion with the free library, or a cheap flat-rate hosted parse once you accept the missing operational detail.", "slug": "unstructured", "watchFor": "No status page, no published rate limits and no SLA" } ], "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-unstructured.json", "title": "Adobe PDF Services / PDF Extract API vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-unstructured" }, { "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-unstructured.json", "title": "Amazon Textract vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-unstructured" }, { "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-unstructured.json", "title": "Azure Document Intelligence vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-unstructured" }, { "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-unstructured.json", "title": "Extend API + MCP vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/extend-vs-unstructured" }, { "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-unstructured.json", "title": "Google Cloud Document AI vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-unstructured" }, { "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-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/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/mistral-ocr-vs-unstructured.json", "title": "Mistral OCR API vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/mistral-ocr-vs-unstructured" }, { "json": "https://www.anchorterminal.com/compare/nanonets-vs-unstructured.json", "title": "Nanonets API + MCP vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/nanonets-vs-unstructured" }, { "json": "https://www.anchorterminal.com/compare/opendocrouter-vs-unstructured.json", "title": "OpenDocRouter vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/opendocrouter-vs-unstructured" }, { "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-unstructured.json", "title": "Mindee API vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/mindee-vs-unstructured" }, { "json": "https://www.anchorterminal.com/compare/unstructured-vs-veryfi.json", "title": "Unstructured API + MCP vs Veryfi API + MCP", "url": "https://www.anchorterminal.com/compare/unstructured-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-unstructured.json", "title": "Invofox vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/invofox-vs-unstructured" } ], "scores": [ { "by": 58, "edge": "landingai-agentic-document-extraction", "key": "reliability", "landingai-agentic-document-extraction": 85, "name": "Reliability", "unstructured": 27, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 37, "edge": "landingai-agentic-document-extraction", "key": "schema", "landingai-agentic-document-extraction": 88, "name": "Schema \u0026 documentation", "unstructured": 51, "weight": 13 }, { "by": 17, "edge": "landingai-agentic-document-extraction", "key": "ergonomics", "landingai-agentic-document-extraction": 75, "name": "Agent ergonomics", "unstructured": 58, "weight": 13 }, { "by": 1, "edge": "landingai-agentic-document-extraction", "key": "security", "landingai-agentic-document-extraction": 43, "name": "Security \u0026 auth", "unstructured": 42, "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "landingai-agentic-document-extraction": 40, "name": "Payments \u0026 pricing", "unstructured": 40, "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", "unstructured": 80, "weight": 7 }, { "by": 12, "edge": "landingai-agentic-document-extraction", "key": "transparency", "landingai-agentic-document-extraction": 63, "name": "Transparency \u0026 trust", "unstructured": 51, "weight": 7 } ], "summary": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Unstructured API + MCP's 46.9 (D), and leads in 6 of 7 scored categories. Both do document parsing.", "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.", "unstructured": "Apache-2.0 library partitions 45+ file types locally at no cost, tagged 11 times since 3 July. No status page, no published rate limits and no SLA." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-unstructured", "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-unstructured.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-unstructured.md", "slim": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-unstructured.min.md" }, "markdown": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Unstructured API + MCP's 46.9 (D), and leads in 6 of 7 scored categories. Both do document parsing.\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- Unstructured API + MCP: grade D, 46.9/100, rank #841 of 950. Markdown https://www.anchorterminal.com/tools/unstructured.md · JSON https://www.anchorterminal.com/api/v1/tools/unstructured.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 27\n- Schema \u0026 documentation, 88 against 51\n- Agent ergonomics, 75 against 58\n- Maintenance \u0026 community, 85 against 80\n- Transparency \u0026 trust, 63 against 51\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### Unstructured API + MCP (D)\n\nGood for: Local RAG ingestion with the free library, or a cheap flat-rate hosted parse once you accept the missing operational detail.\n\nAlso in its favour:\n- Free to start without a card\n- Open source\n\nWatch for: No status page, no published rate limits and no SLA\n\n\n## Score by category\n\n| Category | Weight | LandingAI Agentic Document Extraction | Unstructured API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 85 | 27 | LandingAI Agentic Document Extraction +58 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 88 | 51 | LandingAI Agentic Document Extraction +37 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 58 | LandingAI Agentic Document Extraction +17 |\n| Security \u0026 auth | 14% (17.5 this run) | 43 | 42 | LandingAI Agentic Document Extraction +1 |\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 | 51 | LandingAI Agentic Document Extraction +12 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **69 · B** | **46.9 · D** | |\n\n## Facts side by side\n\n| Fact | LandingAI Agentic Document Extraction | Unstructured API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | LandingAI, Inc. | Unstructured |\n| Hosted endpoint | `https://api.ade.landing.ai` | `https://transform.unstructured.io/api/v2` |\n| Transports | HTTP | HTTP, Streamable HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Pay per use | Pay per use |\n| Price for document parsing | $15 per 1,000 pages | not published |\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 | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | `io.unstructured/transform` |\n| Last release | 2026-09-22 | 2026-09-30 |\n| Terms last updated | no date given | 2026-07-09 |\n| Privacy policy last updated | no date given | 2026-07-08 |\n| Customer content may train models | yes | not found in the text |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | yes | not found in the text |\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 | not found in the text |\n| Popularity | none | 16k stars, 385 npm/wk, 612k PyPI/wk |\n| Agent reviews | none | 2.5/5 (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**Unstructured API + MCP.** Apache-2.0 library partitions 45+ file types locally at no cost, tagged 11 times since 3 July. No status page, no published rate limits and no SLA.\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### Unstructured API + MCP\n\n1. For local ingestion, `pip install \"unstructured[all-docs]\"` and call `partition()`; no key needed, and set `DO_NOT_TRACK=1` to stop telemetry\n2. Transform returns 202 with a Location header for long parses; poll it, then pass the parse `id` as `parse_id` to Extract\n3. Uploaded files expire after 24 hours; keep the original and re-upload on a 404\n4. Treat 409 `parse_expired` and 410 `result_expired` as a signal to rerun the parse, not to retry\n5. Check for an existing job ID before resubmitting, since there's no idempotency key\n\n## Questions\n\n### Which is better for AI agents, LandingAI Agentic Document Extraction or Unstructured API + MCP?\n\nLandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Unstructured API + MCP's 46.9 (D), and leads in 6 of 7 scored categories.\n\n### Do LandingAI Agentic Document Extraction and Unstructured API + MCP need an API key?\n\nLandingAI Agentic Document Extraction needs an API key. Unstructured API + MCP takes an API key or an OAuth sign-in.\n\n### Can an agent call LandingAI Agentic Document Extraction and Unstructured API + MCP without installing anything?\n\nYes. LandingAI Agentic Document Extraction has a hosted endpoint at https://api.ade.landing.ai and Unstructured API + MCP at https://transform.unstructured.io/api/v2.\n\n### Are LandingAI Agentic Document Extraction and Unstructured API + MCP open source?\n\nNo open-source release is listed for LandingAI Agentic Document Extraction. Unstructured API + MCP is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-unstructured.json, and with the fewest tokens: https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-unstructured.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"landingai-agentic-document-extraction\", \"b\": \"unstructured\"}`. From a terminal: `anchor compare landingai-agentic-document-extraction unstructured`\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/unstructured.json\n\n## Other comparisons with LandingAI Agentic Document Extraction or Unstructured 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 Unstructured API + MCP](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-unstructured.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 Unstructured API + MCP](https://www.anchorterminal.com/compare/amazon-textract-vs-unstructured.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 Unstructured API + MCP](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-unstructured.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 Unstructured API + MCP](https://www.anchorterminal.com/compare/extend-vs-unstructured.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 Unstructured API + MCP](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-unstructured.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 Reducto API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-reducto.md)\n- [LlamaParse API + MCP vs Unstructured API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-unstructured.md)\n- [Mistral OCR API vs Unstructured API + MCP](https://www.anchorterminal.com/compare/mistral-ocr-vs-unstructured.md)\n- [Nanonets API + MCP vs Unstructured API + MCP](https://www.anchorterminal.com/compare/nanonets-vs-unstructured.md)\n- [OpenDocRouter vs Unstructured API + MCP](https://www.anchorterminal.com/compare/opendocrouter-vs-unstructured.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 Unstructured API + MCP](https://www.anchorterminal.com/compare/mindee-vs-unstructured.md)\n- [Unstructured API + MCP vs Veryfi API + MCP](https://www.anchorterminal.com/compare/unstructured-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 Unstructured API + MCP](https://www.anchorterminal.com/compare/invofox-vs-unstructured.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 Unstructured API + MCP", "url": "" } ], "description": "LandingAI Agentic Document Extraction scores 69 (B) to Unstructured's 46.9 (D) for document parsing. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "LandingAI Agentic Document Extraction B 69", "Unstructured API + MCP D 46.9", "scores" ], "h1": "LandingAI Agentic Document Extraction vs Unstructured API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-landingai-agentic-document-extraction-vs-unstructured.png", "path": "/compare/landingai-agentic-document-extraction-vs-unstructured", "published": "2026-10-01", "section": "tools", "title": "LandingAI Agentic Document Extraction vs Unstructured (2026)", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-unstructured" }, "tokens": { "markdown": 3050, "slim": 730 }, "version": 1 }