Head to head · Document parsing · October 2026 research run

Datalab vs LandingAI Agentic Document Extraction

LandingAI Agentic Document Extraction scores 69.1 (B) on agent readiness against Datalab's 65.6 (B), and leads in 3 of 7 scored categories. Datalab leads on security & auth. Both do document parsing.

Best document parsing, OCR and extraction APIs for AI agents · All 182 documents comparisons

Which one, for what

Datalab B

Best for Hosted PDF and Office conversion and schema extraction with citations, from the team behind Marker.

Ahead on

  • Security & auth, 56 against 43

Also in its favour

  • Free to start without a card

Watch for

API keys carry no scopes; spend caps per key are the only limit

LandingAI Agentic Document Extraction B

Best 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 58
  • Maintenance & community, 85 against 79

Watch for

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

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Reliability LandingAI Agentic Document Extraction +27

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.

LandingAI Agentic Document Extraction 85

Graded as a hosted API. Instatus page at status.landing.ai with US and EU components for the product and an incident history feed (20). The feed, re-read on 1 November 2026, shows no incident in the last 90 days. The most recent is a parsing outage of 18 hours 55 minutes on 30 April 2026, attributed to a cloud provider (30). Page limits per plan and tier are published, 100 pages a minute and 6,000 an hour on Explore (15). The docs ask for exponential backoff on 429, 502 and 503, say which 429 case will not clear on retry, and the libraries retry twice by default. No Retry-After header and no idempotency key for job creation were found (10 of 15). SLA and uptime guarantees are listed for Enterprise only and no SLA document is published (0). The Gen2 API has been generally available since 24 July 2026 (10).

Security & auth Datalab +13

Datalab 56

Several hashed API keys with per-key 30-day spend caps, revoke-and-replace rotation, no scopes (24 of 30). Spend caps limit damage; results and files can be deleted by the key holder, and there's no read-only key (10 of 20). Returns document text with no prompt-injection guidance (2 of 15). cost_breakdown per request and usage tracking in the dashboard (8 of 15). A Secureframe trust centre and a SOC 2 report on the Team plan, TOTP enforcement for teams; no disclosure policy or security.txt found (12 of 20). 24+10+2+8+12 = 56.

LandingAI Agentic Document Extraction 43

Bearer key in a header, never in the URL. On the Explore plan there is one key that cannot be deleted or revoked, and a leaked key is replaced by emailing support. Team and Enterprise create several named keys and revoke them. No scopes on any plan (15 of 30, between the one-key and revocable-key lines). No read-only or restricted keys. Admin and Developer roles limit who may revoke keys, and an IP allowlist and SSO are Enterprise only (5 of 20). The API returns text from untrusted documents, and no prompt-injection guidance was found in the reviewed documentation (0 of 15). The Usage page logs every job with timestamp, API key, endpoint and credits, searchable and downloadable as CSV (10 of 15). The security page claims SOC 2 Type II, HIPAA with a BAA, third-party penetration tests and immutable audit logs. The libraries' SECURITY.md takes reports through GitHub private reporting. No security.txt and no bug bounty were found, and the trust centre could not be read (13 of 20).

Maintenance & community LandingAI Agentic Document Extraction +6

Datalab 79

Closed hosted service. Python SDK 0.9.1 on 6 November 2026 and a changelog entry on 4 November (30). Over twenty dated changelog entries since 8 August (20). Support by email, a Discord and public GitHub repositories for the open-source models; replies not sampled (12 of 15). An official Python SDK, current, no other languages (12 of 15). Package health not checked beyond release dates (5 of 10). 30+20+12+12+5 = 79.

LandingAI Agentic Document Extraction 85

The API changelog's latest entry is 16 October 2026 (30). 10 dated Gen2 changelog entries from 10 August to 16 October 2026, and the Python and TypeScript libraries tagged five times each from 4 August to 17 September (20). A public changelog with RSS, a support address answered Monday to Friday, and a Discord server. Replies on GitHub issues were not sampled (10 of 15). Current official libraries in Python (1.18.1) and TypeScript (2.13.1), both tagged 17 September 2026 (15). Both library repositories run CI, production end-to-end tests and a workflow that syncs them with the API description (10).

Score by category

CategoryWeight this runDatalabLandingAI Agentic Document ExtractionEdge
Reliability16%205885LandingAI Agentic Document Extraction +27
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28988Datalab +1
Agent ergonomics13%16.27375LandingAI Agentic Document Extraction +2
Security & auth14%17.55643Datalab +13
Payments & pricing10%12.54040even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87985LandingAI Agentic Document Extraction +6
Transparency & trust7%8.86864Datalab +4
Negative events≤1500
TotalB 65.6/100B 69.1/100

Facts side by side

FactDatalabLandingAI Agentic Document Extraction
KindHTTP APIHTTP API
VendorEndless Labs, Inc. (Datalab)LandingAI, Inc.
Hosted endpointhttps://www.datalab.to/api/v1https://api.ade.landing.ai
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingPay per usePay per use
Price for document parsingnot published$15 per 1,000 pages
x402nono
LicenceProprietary hosted service under Datalab's terms; the Marker and Surya code is open source and model weights are free under revenue and funding thresholdsProprietary 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
Tools exposed0none
Read-only variant documentednono
llms.txtyesyes
Last release2026-11-062026-10-16
Terms last updated2026-06-30no date given
Privacy policy last updated2026-06-30no date given
Customer content may train modelsnot found in the textyes
Terms restrict automated accessyesyes
Terms restrict benchmarkingnot found in the textyes
Terms or service can change without noticenot found in the textnot found in the text
Arbitration or class-action waivernot found in the textnot found in the text
Agent reviewsnone3.8/5 (4)

How the scores have moved

Verdicts

Datalab

Datalab's hosted API from the Marker and Surya team converts and extracts documents with published per-1,000-page rates, a monthly free allowance with no card, typed retryable error codes, a written version policy and an active dated changelog. API keys have spend caps but no scopes, and no prompt-injection guidance or disclosure policy was found.

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.

Before you call either

Datalab

  1. Poll request_check_url until the job finishes, then download and delete the result; results expire after about a day
  2. Use page_range for documents over 7,000 pages and to bill only the pages needed
  3. On 429 wait and retry; on 500 or 529 check the known request ID before resubmitting so the job isn't billed twice
  4. Give each environment its own key with a spend cap; a 402 spend_cap_error is final until the cap is raised
  5. Treat converted text as untrusted input, never as instructions

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
  6. Pin model on Extract (extract-20260819 or extract-20260903). The default moved on 16 October 2026 and can move again

Questions

Which is better for AI agents, Datalab or LandingAI Agentic Document Extraction?

LandingAI Agentic Document Extraction scores 69.1 (B) on agent readiness against Datalab's 65.6 (B), and leads in 3 of 7 scored categories. Datalab leads on security & auth.

Do Datalab and LandingAI Agentic Document Extraction need an API key?

Both need an API key.

Can an agent call Datalab and LandingAI Agentic Document Extraction without installing anything?

Yes. Datalab has a hosted endpoint at https://www.datalab.to/api/v1 and LandingAI Agentic Document Extraction at https://api.ade.landing.ai.

Other comparisons with Datalab or LandingAI Agentic Document Extraction

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