OpenDocRouter vs Unstructured API + MCP

OpenDocRouter

One endpoint reaches 11 parsing models, each with a dated recipe version, a published token price and a ParseBench score, and failed pages aren't charged. The service launched on 7 October 2026, so it has no status page, incident history, SLA or changelog yet, and no key scopes were found in the reviewed documentation.

Unstructured API + MCP

Apache-2.0 library partitions 45+ file types locally at no cost, tagged 11 times since 3 July. No status page, no published rate limits and no SLA.

OpenDocRouter

1. Call GET /v1/models first, which needs no key, and choose a model by avg_charge_per_page_usd and its ParseBench scores. Send its id as model
2. Send cache: true on any request you might repeat. Without it the markdown exists only in the POST response and a resend is charged as a new request
3. Raise the SDK timeout above its 60-second default for sync parses. Pages can run for 270 seconds and the SDKs retry a timed-out request twice
4. Check every page's status before using its markdown. A 200 can be partial, and failed pages can be resent alone with pages
5. Treat 402 as final until credit is added. The hold is the model's maximum charge per page times the page count, and GET /v1/credits shows available_usd

Unstructured API + MCP

1. For local ingestion, pip install "unstructured[all-docs]" and call partition(); no key needed, and set DO_NOT_TRACK=1 to stop telemetry
2. Transform returns 202 with a Location header for long parses; poll it, then pass the parse id as parse_id to Extract
3. Uploaded files expire after 24 hours; keep the original and re-upload on a 404
4. Treat 409 parse_expired and 410 result_expired as a signal to rerun the parse, not to retry
5. Check for an existing job ID before resubmitting, since there's no idempotency key