BenchRank
#2 in AI Development PlatformsUpdated 2026-08

Nango

by Nango · Code-first integration platform covering 900+ APIs

BenchRank score

83.7 — BenchRank score out of 100

Screenshots of Nango

Homepage · Nango

Homepage of Nango

Overview

Nango connects a product or AI agent to over 900 APIs. It handles OAuth and API-key authorisation, token refresh and credential-injected proxy requests, then runs integration logic as code functions — syncs, actions, webhooks and triggers — built from templates or written custom. Integrations can be exposed to agents as MCP tools.

Best for
Product teams building many third-party API integrations into a SaaS product or AI agent
Pricing
Free tier, then Starter from $50/month and Growth from $500/month, plus usage charges such as $1 per connection and $0.0001 per proxy request; Enterprise is custom.
Runs on
WebSelf-hosted

Strengths and trade-offs

Strengths

  • 900+ APIs with 6,000+ reusable integration templates
  • OAuth, API keys and token refresh handled for every API
  • Integrations written as code, with local dev, CI/CD and environments
  • Open source and self-hostable in your own infrastructure

Trade-offs

  • Seven separate usage meters make a monthly bill hard to predict
  • Paid tiers jump from $50/mo to $500/mo with nothing in between
  • Plan prices are 'from' figures, so real cost depends on usage
  • HIPAA, self-hosting and SLAs are add-ons rather than included

How Nango markets itself

A structured read of the promise, proof and page design on Nango’s captured homepage.

Homepage capture

“Integrations for your products & agents”

  • Angle: Developer-first
  • Hero: Code snippet

Pricing

Published plans and prices from Nango’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • API quality

    Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Pricing transparency

    Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

  • Maintenance

    Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.

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Where this comes from

The Nango pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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