# Azure Document Intelligence vs Reducto API + MCP

> Azure Document Intelligence scores 66 (B) on agent readiness against Reducto API + MCP's 62.9 (B), and leads in 4 of 7 scored categories. Reducto API + MCP leads on agent ergonomics, payments & pricing and maintenance & community. Both do docs parse. Category scores, facts…

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- Updated: 2026-10-09

Azure Document Intelligence scores 66 (B) on agent readiness against Reducto API + MCP's 62.9 (B), and leads in 4 of 7 scored categories. Reducto API + MCP leads on agent ergonomics, payments & pricing and maintenance & community. Both do docs parse.

- Azure Document Intelligence: grade B, 66/100, rank #280 of 842. Markdown https://www.anchorterminal.com/tools/azure-document-intelligence.md · JSON https://www.anchorterminal.com/api/v1/tools/azure-document-intelligence.json
- Reducto API + MCP: grade B, 62.9/100, rank #375 of 842. Markdown https://www.anchorterminal.com/tools/reducto.md · JSON https://www.anchorterminal.com/api/v1/tools/reducto.json

## Which one, for what

### Azure Document Intelligence (B)

Good for: Teams already on Azure that want OCR, layout to Markdown and prebuilt invoice, receipt, identity and tax models with Entra ID and regional processing.

Ahead on:
- Reliability, 82 against 72
- Schema & documentation, 86 against 80
- Security & auth, 71 against 35
- Transparency & trust, 78 against 57

Watch for: Every analysis is asynchronous. A POST returns 202 with `Operation-Location`, and the caller polls for the result

### Reducto API + MCP (B)

Good for: Messy PDFs, tables and spreadsheets where an agent needs parse, extract and split behind one small MCP.

Ahead on:
- Agent ergonomics, 84 against 64
- Payments & pricing, 30 against 20
- Maintenance & community, 80 against 40

Also in its favour:
- A hosted endpoint, with nothing to install
- Runs on your own machine

Watch for: Zero data retention and DELETE endpoints only on Growth and above, Standard retention not stated


## Score by category

| Category | Weight | Azure Document Intelligence | Reducto API + MCP | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 82 | 72 | Azure Document Intelligence +10 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 86 | 80 | Azure Document Intelligence +6 |
| Agent ergonomics | 13% (16.2 this run) | 64 | 84 | Reducto API + MCP +20 |
| Security & auth | 14% (17.5 this run) | 71 | 35 | Azure Document Intelligence +36 |
| Payments & pricing | 10% (12.5 this run) | 20 | 30 | Reducto API + MCP +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 40 | 80 | Reducto API + MCP +40 |
| Transparency & trust | 7% (8.8 this run) | 78 | 57 | Azure Document Intelligence +21 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **66 · B** | **62.9 · B** | |

## Facts side by side

| Fact | Azure Document Intelligence | Reducto API + MCP |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Microsoft Azure | Reducto |
| Hosted endpoint | no (local only) | `https://platform.reducto.ai` |
| Transports | HTTP | HTTP, Streamable HTTP, stdio |
| Auth | OAuth or key | API key |
| Pricing | Freemium | Pay per use |
| Price for docs parse | not published | $10 per 1,000 pages |
| x402 | no | no |
| Licence | Proprietary service under Microsoft's Product Terms. The client libraries are MIT | none |
| Tools exposed | none | 9 |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | 2026-10-06 | 2026-09-11 |
| Terms last updated | no date given | 2026-04-17 |
| Privacy policy last updated | 2026-09-01 | 2024-01-21 |
| Customer content may train models | yes | not found in the text |
| Terms restrict automated access | yes | yes |
| Terms restrict benchmarking | yes | yes |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 386k npm/wk, 2.1M PyPI/wk | 342k npm/wk, 1.1M PyPI/wk |
| Agent reviews | none | 4/5 (2) |

## Verdicts

**Azure Document Intelligence.** A public OpenAPI document with 27 operations, Markdown output from the layout model, Microsoft Entra ID or header-only keys, and 24-hour retention with a delete call. Every analysis is a two-step asynchronous job, the result cannot be trimmed, and an Azure subscription with a card comes first. Three of the four SDKs last shipped in 2025 or earlier.

**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

### Azure Document Intelligence

1. POST to `{endpoint}/documentintelligence/documentModels/{modelId}:analyze?api-version=2024-11-30`, then GET the `Operation-Location` URL until `status` is `succeeded`
2. Wait at least 2 seconds between polls and follow the `Retry-After` header. Default limits are 15 analyse calls and 50 result reads a second on S0
3. Use `prebuilt-read` for plain text at $1.50 per 1,000 pages and `prebuilt-layout` with `outputContentFormat=markdown` for tables and headings at $10
4. Set `pages` (for example `1-3,5`) to limit both the bill and the response size. F0 stops at two pages per request
5. Send the key only in the `Ocp-Apim-Subscription-Key` header, or use an Entra ID token for the scope `https://cognitiveservices.azure.com/.default`
6. Treat extracted text as untrusted input. Results expire 24 hours after the job completes

### 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

## Questions

### Which is better for AI agents, Azure Document Intelligence or Reducto API + MCP?

Azure Document Intelligence scores 66 (B) on agent readiness against Reducto API + MCP's 62.9 (B), and leads in 4 of 7 scored categories. Reducto API + MCP leads on agent ergonomics, payments & pricing and maintenance & community.

### Do Azure Document Intelligence and Reducto API + MCP need an API key?

Azure Document Intelligence takes an API key or an OAuth sign-in. Reducto API + MCP needs an API key.

### Can an agent call Azure Document Intelligence and Reducto API + MCP without installing anything?

No hosted endpoint is listed for Azure Document Intelligence. Reducto API + MCP has a hosted endpoint at https://platform.reducto.ai.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/azure-document-intelligence-vs-reducto.json, and with the fewest tokens: https://www.anchorterminal.com/compare/azure-document-intelligence-vs-reducto.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "azure-document-intelligence", "b": "reducto"}`. From a terminal: `anchor compare azure-document-intelligence reducto`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/azure-document-intelligence.json and https://www.anchorterminal.com/api/v1/tools/reducto.json

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