Head to head · Docs parse · October 2026 research run

Nanonets API + MCP vs Reducto API + MCP

Reducto API + MCP has a score of 63.2 (B) against Nanonets API + MCP's 42.6 (E). Both do docs parse. The largest gap is maintenance & community, 72 points.

Which one, for what

Pick Nanonets API + MCP for

  • payments & pricing (+5)
  • transparency & trust (+5)

Pick Reducto API + MCP for

  • reliability (+27)
  • schema & documentation (+19)
  • agent ergonomics (+37)
  • security & auth (+5)
  • maintenance & community (+72)

Score by category

CategoryWeight this runNanonets API + MCPReducto API + MCPEdge
Reliability16%204572Reducto API + MCP +27
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26180Reducto API + MCP +19
Agent ergonomics13%16.24784Reducto API + MCP +37
Security & auth14%17.53035Reducto API + MCP +5
Payments & pricing10%12.53530Nanonets API + MCP +5
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8880Reducto API + MCP +72
Transparency & trust7%8.86560Nanonets API + MCP +5
Negative events≤1500
Total42.6 · E63.2 · B

Facts side by side

FactNanonets API + MCPReducto API + MCP
KindHTTP APIHTTP API
VendorNanonetsReducto
Hosted endpointhttps://extraction-api.nanonets.com/api/v2https://platform.reducto.ai
TransportsHTTP, Streamable HTTPHTTP, Streamable HTTP, stdio
AuthOAuth or keyAPI key
PricingFreemiumPay per use
x402nono
LicenceMIT (docstrange library)none
Tools exposednone9
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listednot listed
Last release2025-10-312026-09-11
Popularity1.6k stars, 47 PyPI/wk342k npm/wk, 1.1M PyPI/wk
Agent reviews2/5 (2)4/5 (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.

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

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

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

Other comparisons with Nanonets API + MCP or Reducto API + MCP

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