Skip to content
effecthub

Composio vs Yugo

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan
Both — Composio has a free plan, Yugo is free to use
Public API
Both have one
Higher Trust score
Composio — 92 vs 76 for Yugo
Best fit
Composio: Developers building AI agents that need to take real actions in external apps, not just chat · Yugo: Developers curious about a specific angle on AI-feature discovery for an existing app
Status
Both up at our last check (Oct 15, 2026)

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

ComposioGives AI agents authenticated, rate-limited access to over 1,000 external tools and apps through one API.YugoReads a web app's API documentation and suggests specific AI features to bolt on, then wires up the chosen provider in a few clicks.

Side by side

FactComposioYugo
CategoryMCP Servers & Tool ProtocolsIntegration & iPaaS
Pricing modelFreemiumFree
Starts at$29/mo—
Public APIYesYes
Trust score92 / 10076 / 100
PlatformsWeb, APIWeb, API
CompanyComposio—
Launched20232024
Last verifiedOct 15, 2026Oct 15, 2026

What our research says

Composio

Composio solves a specific, real developer problem — letting an AI agent actually call Gmail, GitHub, Slack, and a thousand-plus other tools with proper auth handling — rather than building that plumbing per project. It's usage-priced per tool call past the free tier, and it's a funded, San Francisco-based company (Series A led by Lightspeed) rather than a thin indie site.

Pros

  • Over 1,000 pre-built integrations with handled authentication, rather than building each one manually
  • Free tier includes 100,000 tool calls and unlimited connections a month before any charge
  • Works with MCP clients (Claude Code, Cursor) as well as direct SDK integration
  • Backed by a real Series A ($25M, led by Lightspeed) rather than an unfunded side project

Cons

  • Pay-as-you-go overage pricing per tool call can get harder to predict at high volume
  • Premium tools like browser automation cost meaningfully more than standard tool calls (roughly $0.70/task)

Yugo

Yugo's pitch — read your API docs and recommend AI features to add, rather than making you research each provider — is a genuinely useful shortcut if it works as described. It is openly in alpha, has no published pricing, and no visible company behind it, so it reads as an early solo or small-team project rather than a settled product.

Pros

  • Analyzes existing API documentation rather than starting from a blank slate
  • Supports multiple AI providers (OpenAI, Google AI, Hugging Face) rather than locking into one
  • Offers one-click setup for recommended features
  • Free to join during the current pre-access phase

Cons

  • Explicitly alpha-stage software with no track record yet
  • No pricing, company name, or location is disclosed anywhere
  • Demo and main site are split across subdomains, adding friction to evaluate it

Which one fits

Choose Composio if you need

  • Developers building AI agents that need to take real actions in external apps, not just chat
  • Teams already using MCP-compatible tools like Claude Code or Cursor who want a shared integration layer

Choose Yugo if you need

  • Developers curious about a specific angle on AI-feature discovery for an existing app
  • Early adopters comfortable testing alpha software with no pricing commitment yet
  • Small teams evaluating options before building an AI integration by hand

Composio vs Yugo: the questions people ask

Is Composio cheaper than Yugo?

Yugo is free to use; Composio starts at $29/mo.

Does Composio or Yugo have a free tier?

Both: Composio has a free tier, and Yugo is free to use.

Which has a public API, Composio or Yugo?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

More comparisons

All Composio alternatives →All Yugo alternatives →Browse all MCP Servers & Tool Protocols →