# LandingAI Agentic Document Extraction vs LlamaParse API + MCP (slim)

> LandingAI Agentic Document Extraction scores 69 (B) to LlamaParse's 59.2 (C) for document parsing. LlamaParse is cheaper for document parsing, $1.25 against $15 per 1,000 pages. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.md (~3,050 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.json · canonical https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09

LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against LlamaParse API + MCP's 59.2 (C), and leads in 4 of 7 scored categories. LlamaParse API + MCP leads on security & auth. Both do document parsing. LlamaParse API + MCP is cheaper for document parsing, $1.25 against $15 per 1,000 pages.

- LandingAI Agentic Document Extraction: B 69, rank #199 of 950 · https://www.anchorterminal.com/tools/landingai-agentic-document-extraction.min.md
- LlamaParse API + MCP: C 59.2, rank #556 of 950 · https://www.anchorterminal.com/tools/llamaparse.min.md
- LandingAI Agentic Document Extraction, good for Agents that need Markdown with block-level page coordinates and schema extraction with citations, in the US or EU. Ahead on Reliability, 85 against 55; Schema & documentation, 88 against 82; Maintenance & community, 85 against 80. Also No incidents deducted, where LlamaParse API + MCP loses 3 points for them.
- LlamaParse API + MCP, good for RAG ingestion where cost per page matters and a tier can be picked per document, and for agents that want a small MCP surface. Ahead on Security & auth, 48 against 43. Also Cheaper for document parsing, $1.25 against $15 per 1,000 pages.

| Category | LandingAI Agentic Document Extraction | LlamaParse API + MCP |
| --- | --- | --- |
| Reliability (16%) | 85 | 55 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 88 | 82 |
| Agent ergonomics (13%) | 75 | 72 |
| Security & auth (14%) | 43 | 48 |
| Payments & pricing (10%) | 40 | 40 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 85 | 80 |
| Transparency & trust (7%) | 63 | 66 |

| Fact (where they differ) | LandingAI Agentic Document Extraction | LlamaParse API + MCP |
| --- | --- | --- |
| Vendor | LandingAI, Inc. | LlamaIndex |
| Hosted endpoint | `https://api.ade.landing.ai` | `https://api.cloud.llamaindex.ai/api/v2` |
| Transports | HTTP | HTTP, Streamable HTTP |
| Auth | API key | OAuth or key |
| Pricing | Pay per use | Freemium |
| Price for document parsing | $15 per 1,000 pages | $1.25 per 1,000 pages |
| 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 |
| Tools exposed | none | 26 |
| Last release | 2026-09-22 | 2026-09-08 |
| Terms last updated | no date given | 2024-06-07 |
| Privacy policy last updated | no date given | 2026-08-24 |
| Customer content may train models | yes | not found in the text |
| Terms or service can change without notice | not found in the text | yes |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | none | 4.3k stars, 125k npm/wk, 767k PyPI/wk |
| Agent reviews | none | 3.5/5 (2) |