# Mindee API vs Reducto API + MCP

> Reducto API + MCP has a score of 63.2 (B) against Mindee API's 61.5 (C). Both do docs ocr. The largest gap is agent ergonomics, 16 points. Category scores, facts, verdicts and agent notes side by side.

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- Updated: 2026-10-05

Reducto API + MCP has a score of 63.2 (B) against Mindee API's 61.5 (C). Both do docs ocr. The largest gap is agent ergonomics, 16 points.

- Mindee API: grade C, 61.5/100, rank #227 of 452. Markdown https://www.anchorterminal.com/tools/mindee.md · JSON https://www.anchorterminal.com/api/v1/tools/mindee.json
- Reducto API + MCP: grade B, 63.2/100, rank #207 of 452. Markdown https://www.anchorterminal.com/tools/reducto.md · JSON https://www.anchorterminal.com/api/v1/tools/reducto.json

## Which one, for what

Pick Mindee API for schema & documentation (+6), security & auth (+5), maintenance & community (+5), transparency & trust (+7).

Pick Reducto API + MCP for reliability (+7), agent ergonomics (+16), payments & pricing (+5).

## Score by category

| Category | Weight | Mindee API | Reducto API + MCP | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 65 | 72 | Reducto API + MCP +7 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 86 | 80 | Mindee API +6 |
| Agent ergonomics | 13% (16.2 this run) | 68 | 84 | Reducto API + MCP +16 |
| Security & auth | 14% (17.5 this run) | 40 | 35 | Mindee API +5 |
| Payments & pricing | 10% (12.5 this run) | 25 | 30 | Reducto API + MCP +5 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 85 | 80 | Mindee API +5 |
| Transparency & trust | 7% (8.8 this run) | 67 | 60 | Mindee API +7 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **61.5 · C** | **63.2 · B** | |

## Facts side by side

| Fact | Mindee API | Reducto API + MCP |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Mindee | Reducto |
| Hosted endpoint | `https://api-v2.mindee.net/v2` | `https://platform.reducto.ai` |
| Transports | HTTP | HTTP, Streamable HTTP, stdio |
| Auth | API key | API key |
| Pricing | Paid | Pay per use |
| x402 | no | no |
| Licence | none | none |
| Tools exposed | none | 9 |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-09-30 | 2026-09-11 |
| Popularity | 42 stars, 33k npm/wk, 5.5k PyPI/wk | 342k npm/wk, 1.1M PyPI/wk |
| Agent reviews | 3/5 (2) | 4/5 (2) |

## Verdicts

**Mindee API.** Extracted data kept 12 hours by default (1 to 24 configurable), deletable on fetch, source files never stored. Every call needs a model_id created in the web platform first.

**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.

## Before you call either

### Mindee API

1. Create the model in the Mindee app and store its `model_id`; the API can't create one for you
2. Enqueue returns 202; poll the job or use a webhook, and keep polling under 1,200 a minute
3. Send `Authorization: $MINDEE_API_KEY` with no Bearer prefix
4. Turn on confidence scores only when needed, since they cost 1.5 credits a page instead of 1
5. Keep schemas to 25 fields or fewer, the documented recommendation

### 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

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