LandingAI Agentic Document Extraction vs Nanonets API + MCP

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.

Nanonets API + MCP

Extraction API returns Markdown, CSV or JSON, with named fields or a JSON schema. No public changelog and no dated release in the last 90 days.

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

Nanonets API + MCP

1. Use the extraction API at extraction-api.nanonets.com, not app.nanonets.com, unless you already have a trained model
2. Pass a JSON schema in json_options when downstream code needs fixed field names
3. Use the async extract endpoints for long documents and poll /api/v1/extract/results/{record_id}
4. On a 429, wait 30 seconds and double the delay each retry
5. Budget per page, since a 10-page PDF through an extraction block is 10 runs