Free TierAPI Key AuthOpenAPI Spec
Eppo is a feature management and experimentation platform that enables teams to run A/B tests, canary deployments, and feature rollouts with advanced statistical analysis and SDK integration.
#2 of 6 in Feature Management · #2 of 7 in Experimentation · #16 of 117 in Analytics
Checklist Breakdown
13 of 33 checks passed.
14 unscored.
Can an agent find and understand this tool without a web search?
✓
Published OpenAPI/Swagger spec
✗
Has llms.txt or llms-full.txt
✗
Has an MCP server (official or well-maintained)
✗
MCP server listed in a public registry
✓
API reference docs are publicly accessible
✓
Docs include runnable code examples
✓
Has a public changelog or release notes
✓
Has a public status page
Can an agent create an account and get credentials without human intervention?
✗
Signup does not require CAPTCHA
✗
Signup does not require phone verification
✓
Supports API key auth (not only OAuth)
✗
API key obtainable without manual approval
✓
No mandatory billing info to start
✓
Can sign up without creating an organization
Can an agent operate autonomously without upfront payment or contracts?
✓
Has a free tier
✓
Usage-based pricing available
✓
No minimum contract or commitment
✓
Pricing page is public (no 'contact sales')
✓
Free tier sufficient for testing (not just a trial)
How well does the API work for non-human consumers?
—
SDK available in 2+ languages
—
Structured error responses (JSON with error codes)
—
Idempotency support on write endpoints
—
Pagination on list endpoints
—
Webhook/event support
—
Sandbox or test mode available
—
Rate limit headers in responses
—
Consistent REST resource naming
Does the tool fail gracefully when an agent makes a mistake?
—
Meaningful error messages (not just 500)
—
429 responses include Retry-After header
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Documented uptime SLA (99.9%+)
—
Graceful degradation under rate limits
—
Request IDs in responses for debugging
—
API versioning supported
Reviewer Notes
Eppo has a documented REST API with API key authentication, making basic agent integration possible, and a free tier for experimentation. However, discovery is hindered by lack of MCP server and llms.txt file; agents would need manual documentation lookup. Account creation requires web UI interaction (no programmatic signup), limiting autonomous agent onboarding. The API is functional for querying experiments and feature flags but lacks comprehensive error handling documentation and structured response schemas that would make it truly agent-native. Reliability appears solid given its enterprise positioning, but rate limits and SLA details are not publicly transparent.
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