# LandingAI Agentic Document Extraction vs LlamaParse API + MCP

> 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.

- Canonical: https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse
- Markdown: https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.md (~3,050 tokens)
- Slim: https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.min.md (~780 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.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: 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
- LlamaParse API + MCP: grade C, 59.2/100, rank #556 of 950. Markdown https://www.anchorterminal.com/tools/llamaparse.md · JSON https://www.anchorterminal.com/api/v1/tools/llamaparse.json
- Best document parsing, OCR and extraction APIs for AI agents: https://www.anchorterminal.com/best/document-extraction/index.md
- All 109 documents comparisons: https://www.anchorterminal.com/compare/document-extraction/index.md

## Which one, for what

### LandingAI Agentic Document Extraction (B)

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 in its favour:
- No incidents deducted, where LlamaParse API + MCP loses 3 points for them

Watch for: The Explore plan has one API key that cannot be deleted or revoked. A leaked key is replaced by emailing support

### LlamaParse API + MCP (C)

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 in its favour:
- Cheaper for document parsing, $1.25 against $15 per 1,000 pages

Watch for: Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed)


## Score by category

| Category | Weight | LandingAI Agentic Document Extraction | LlamaParse API + MCP | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 85 | 55 | LandingAI Agentic Document Extraction +30 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 88 | 82 | LandingAI Agentic Document Extraction +6 |
| Agent ergonomics | 13% (16.2 this run) | 75 | 72 | LandingAI Agentic Document Extraction +3 |
| Security & auth | 14% (17.5 this run) | 43 | 48 | LlamaParse API + MCP +5 |
| Payments & pricing | 10% (12.5 this run) | 40 | 40 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 85 | 80 | LandingAI Agentic Document Extraction +5 |
| Transparency & trust | 7% (8.8 this run) | 63 | 66 | LlamaParse API + MCP +3 |
| Negative events | ≤15 | 0 | -3 | |
| **Total** | | **69 · B** | **59.2 · C** | |

## Facts side by side

| Fact | LandingAI Agentic Document Extraction | LlamaParse API + MCP |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| 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 |
| x402 | no | no |
| 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 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| 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 restrict automated access | yes | yes |
| Terms restrict benchmarking | yes | yes |
| 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) |

## Verdicts

**LandingAI Agentic Document Extraction.** Parse, Extract and Ground have a public OpenAPI description, Markdown docs, published credit rates and page limits, and a status page showing no incident in 90 days. The Explore plan's single API key cannot be revoked without support, and the published terms let LandingAI train on customer documents unless Zero Data Retention, a Team and Enterprise setting, is on.

**LlamaParse API + MCP.** Free plan with 10,000 credits a month, no card. Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed).

## Before you call either

### LandingAI Agentic Document Extraction

1. Send `Authorization: Bearer <key>` to `https://api.ade.landing.ai/v2/parse`. EU keys work only on `https://api.ade.eu-west-1.landing.ai`
2. 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
3. Leave jobs on the `standard` tier unless speed matters. It consumes half the credits of `priority`
4. Run Extract on the Markdown that Parse returned, then call Ground for page numbers and boxes. Ground consumes no credits
5. On a 429, read the message. One case clears with backoff and the other means the document is too large for the tier

### LlamaParse API + MCP

1. Connect to a product endpoint such as `https://mcp.llamaindex.ai/parse/mcp` instead of the unified one to load 3 tools plus helpers
2. API-key MCP callers can't use `getUploadUrl`; upload with `uploadFileByUrl` or connect with OAuth
3. Pin `version` on every parse so tier behaviour stays reproducible
4. Add `expand=usage` when fetching a finished job to read the credits it cost
5. Treat a 402 as out of credits, not a transient error

## Questions

### Which is better for AI agents, LandingAI Agentic Document Extraction or LlamaParse API + MCP?

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.

### Which is cheaper for document parsing, LandingAI Agentic Document Extraction or LlamaParse API + MCP?

LlamaParse API + MCP, at $1.25 per 1,000 pages against $15 per 1,000 pages for LandingAI Agentic Document Extraction. These are the vendors' published prices for the job.

### Do LandingAI Agentic Document Extraction and LlamaParse API + MCP need an API key?

LandingAI Agentic Document Extraction needs an API key. LlamaParse API + MCP takes an API key or an OAuth sign-in.

### Can an agent call LandingAI Agentic Document Extraction and LlamaParse API + MCP without installing anything?

Yes. LandingAI Agentic Document Extraction has a hosted endpoint at https://api.ade.landing.ai and LlamaParse API + MCP at https://api.cloud.llamaindex.ai/api/v2.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.json, and with the fewest tokens: https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "landingai-agentic-document-extraction", "b": "llamaparse"}`. From a terminal: `anchor compare landingai-agentic-document-extraction llamaparse`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/landingai-agentic-document-extraction.json and https://www.anchorterminal.com/api/v1/tools/llamaparse.json

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