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Eval directory

Evals for Composio

8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Composio AI products.

AI Platform
Use evals for Composio

About Composio

Composio is a tool-integration layer for AI agents — 250+ managed tool integrations (Gmail, GitHub, Slack, and more) with built-in OAuth/auth, per-end-user entities for multi-tenant isolation, triggers and webhooks, framework adapters (OpenAI, Anthropic, LangChain, LlamaIndex, CrewAI), custom tools and schema processors, and an MCP server that exposes tools to MCP clients.

Employees

~40

Industry

Agent Tooling

Headquarters

San Francisco, CA

Available eval packs for Composio

8 packs ready to run.

Why eval Composio AI

Composio's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.

The Corsac eval library for Composio measures four dimensions teams care about most when deploying ai platform agents:

  • Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
  • Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
  • Safety gates — does it escalate or refuse when it should, and only then?
  • Operator quality — does it preserve analyst trust by surfacing the right context at the right time?

Every eval pack above is hand-authored against Composio's public product surface and runnable in Corsac with your own data.