# Datalab vs LlamaParse API + MCP (slim)

> Datalab scores 65.6 (B) to LlamaParse's 62.2 (B) for document parsing. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/datalab-vs-llamaparse.md (~3,550 tokens) · this version ~1,430 tokens · JSON https://www.anchorterminal.com/compare/datalab-vs-llamaparse.json · canonical https://www.anchorterminal.com/compare/datalab-vs-llamaparse
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-07
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Datalab scores 65.6 (B) on agent readiness against LlamaParse API + MCP's 62.2 (B), and leads in 4 of 7 scored categories. LlamaParse API + MCP leads on reliability. Both do document parsing.

- Datalab: B 65.6, rank #413 of 1486 · https://www.anchorterminal.com/tools/datalab.min.md
- LlamaParse API + MCP: B 62.2, rank #568 of 1486 · https://www.anchorterminal.com/tools/llamaparse.min.md
- Datalab, good for Hosted PDF and Office conversion and schema extraction with citations, from the team behind Marker. Ahead on Schema & documentation, 89 against 82. Also Free to start without a card; No incidents deducted, where LlamaParse API + MCP loses 6 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 Reliability, 80 against 58.

| Category | Datalab | LlamaParse API + MCP |
| --- | --- | --- |
| Reliability (16%) | 58 | 80 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 89 | 82 |
| Agent ergonomics (13%) | 73 | 72 |
| Security & auth (14%) | 56 | 53 |
| Payments & pricing (10%) | 40 | 40 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 79 | 80 |
| Transparency & trust (7%) | 68 | 67 |

| Fact (where they differ) | Datalab | LlamaParse API + MCP |
| --- | --- | --- |
| Vendor | Endless Labs, Inc. (Datalab) | LlamaIndex |
| Hosted endpoint | `https://www.datalab.to/api/v1` | `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 | not published | $1.25 per 1,000 pages |
| Licence | Proprietary hosted service under Datalab's terms; the Marker and Surya code is open source and model weights are free under revenue and funding thresholds | none |
| Tools exposed | 0 | 26 |
| Last release | 2026-11-06 | 2026-10-21 |
| Terms last updated | 2026-06-30 | 2024-06-07 |
| Privacy policy last updated | 2026-06-30 | 2026-08-24 |
| Terms restrict benchmarking | not found in the text | 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) |

Why the edge:
- Reliability, LlamaParse API + MCP +22: Datalab 58 (Hosted lines. Status page at status.datalab.to (incident.io) with Website and Datalab API components; the history page is drawn by script, so components are confirmed and history isn't (15 of 20, 5 for history). Rate limits per plan with numbers, plus page and size limits (15). 429 is retryable with sample backoff, and 500 and 529 say to check a known request ID before resubmitting; webhooks deduplicate by request_id (13 of 15). Custom SLAs only for Enterprise (0). Generally available (10). 15+5+15+13+0+10 = 58.); LlamaParse API + MCP 80 (Statuspage at llamaindex.statuspage.io with LlamaParse (Global) and LlamaParse (EU) groups, each with API and UI components, and a Docs component (20). The history pages, read on 4 November, list two incidents between 6 August and 4 November, 400 errors for some extract schemas on 29 September (14:19 to 16:04 UTC) and a high error rate for agentic parse in the EU on 17 September (18:48 to 20:30 UTC, labelled major, affecting only the EU API). Both are partial, so minor only (20). The rate-limits page gives per-endpoint caps per organisation, the same on every plan, such as 500 parse jobs per 10 seconds, 50 uploads a second per project and 80 reads or 40 writes a second elsewhere (15). It documents the 429 body, says no `Retry-After` header is sent, and gives exponential backoff with jitter, with the SDKs retrying 429 and 5xx five times by default. No idempotency key or safe-retry guidance for job creation (10). The pricing table lists 99.9% uptime as a platform line, and the Support & SLAs page says contractual uptime commitments are negotiated in Enterprise agreements, with no SLA terms published (5 of 10). Parse and Extract are GA, with Turbo Extract in beta (10).)
- Schema & documentation, Datalab +7: Datalab 89 (An OpenAPI 3.1 operation embedded in each reference page (spec version 0.0.1), no single downloadable file found (22 of 25). llms.txt with 159 pages and Markdown twins (10). Recipes say when to use each processor and mode (15 of 20). Typed request schemas with enums for output format and mode (12 of 15). An error table with type, HTTP code and whether to retry, plus SDK exception mapping (15). A written version policy and a dated changelog (15). 22+10+15+12+15+15 = 89.); LlamaParse API + MCP 82 (OpenAPI spec at api.cloud.llamaindex.ai/api/openapi.json, per the 30 September check (25). llms.txt at developers.llamaindex.ai, per the same check (10). The MCP page says which product endpoint to use and why API-key callers should use uploadFileByUrl instead of getUploadUrl. Tool descriptions themselves not read (12 of 20). Typed requests with a tier field and a version to pin, not re-checked in depth (12 of 15). The 402 is documented, and we didn't find a full error reference (8 of 15). Dated changelog and dated parse versions such as agentic 2026-09-07 (15).)