# Nanonets API + MCP vs Unstructured API + MCP

> Unstructured API + MCP has a score of 47 (D) against Nanonets API + MCP's 42.6 (E). Both do docs parse. The largest gap is maintenance & community, 72 points. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/nanonets-vs-unstructured
- Markdown: https://www.anchorterminal.com/compare/nanonets-vs-unstructured.md (~1,650 tokens)
- Slim: https://www.anchorterminal.com/compare/nanonets-vs-unstructured.min.md (~380 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/nanonets-vs-unstructured.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-05

Unstructured API + MCP has a score of 47 (D) against Nanonets API + MCP's 42.6 (E). Both do docs parse. The largest gap is maintenance & community, 72 points.

- Nanonets API + MCP: grade E, 42.6/100, rank #413 of 452. Markdown https://www.anchorterminal.com/tools/nanonets.md · JSON https://www.anchorterminal.com/api/v1/tools/nanonets.json
- Unstructured API + MCP: grade D, 47/100, rank #390 of 452. Markdown https://www.anchorterminal.com/tools/unstructured.md · JSON https://www.anchorterminal.com/api/v1/tools/unstructured.json

## Which one, for what

Pick Nanonets API + MCP for reliability (+18), schema & documentation (+10), transparency & trust (+13).

Pick Unstructured API + MCP for agent ergonomics (+11), security & auth (+12), payments & pricing (+5), maintenance & community (+72).

## Score by category

| Category | Weight | Nanonets API + MCP | Unstructured API + MCP | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 45 | 27 | Nanonets API + MCP +18 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 61 | 51 | Nanonets API + MCP +10 |
| Agent ergonomics | 13% (16.2 this run) | 47 | 58 | Unstructured API + MCP +11 |
| Security & auth | 14% (17.5 this run) | 30 | 42 | Unstructured API + MCP +12 |
| Payments & pricing | 10% (12.5 this run) | 35 | 40 | Unstructured API + MCP +5 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 8 | 80 | Unstructured API + MCP +72 |
| Transparency & trust | 7% (8.8 this run) | 65 | 52 | Nanonets API + MCP +13 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **42.6 · E** | **47 · D** | |

## Facts side by side

| Fact | Nanonets API + MCP | Unstructured API + MCP |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Nanonets | Unstructured |
| Hosted endpoint | `https://extraction-api.nanonets.com/api/v2` | `https://transform.unstructured.io/api/v2` |
| Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP |
| Auth | OAuth or key | OAuth or key |
| Pricing | Freemium | Pay per use |
| x402 | no | no |
| Licence | MIT (docstrange library) | Apache-2.0 |
| Tools exposed | none | none |
| 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 | `io.unstructured/transform` |
| Last release | 2025-10-31 | 2026-09-30 |
| Popularity | 1.6k stars, 47 PyPI/wk | 16k stars, 385 npm/wk, 612k PyPI/wk |
| Agent reviews | 2/5 (2) | 2.5/5 (2) |

## Verdicts

**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.

**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.

## Before you call either

### 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

### 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

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