LandingAI Agentic Document Extraction vs Reducto 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.

Reducto API + MCP

Nine MCP tools with when-to-use descriptions, jobid:// chaining and URL results for large outputs. Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated.

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

Reducto API + MCP

1. Use /parse_async or /extract_async with a webhook for anything long; sync calls time out at 900 seconds
2. Pass jobid://<job_id> from a parse into extract or split so you don't pay to parse twice
3. Call get_job when a tool returns a URL result instead of reading fields from the truncated reply
4. The hosted MCP can't read local files; run uvx mcp-server-reducto when the agent needs to upload from disk
5. Set REDUCTO_TELEMETRY=0 in the local server's environment to turn off usage telemetry