What is Prowl?
Prowl is an open-source benchmark runner that evaluates any API across 8 dimensions of agent-readiness using multi-LLM scoring. It measures how easily AI agents can discover, understand, and use an API, targeting developers who want to optimize their APIs for the agent economy.
How to use Prowl?
Install via pip install prowl-bench, set at least one LLM API key (Anthropic, OpenAI, or Google), then run prowl-bench run <url>. Optionally specify a template, credentials, output format (JSON), or a minimum score for CI. Prowl also provides a Python API for programmatic use.
Key features of Prowl
- Multi-LLM scoring across Claude, GPT-4o, and Gemini
- 8 weighted dimensions measuring agent efficiency
- 4-phase pipeline: Analyze, Plan, Execute, Interpret
- Auto-detected benchmark templates (API, platform, MCP, docs, DeFi, crypto)
- CI integration with
--min-score flag
- Community submission to the Prowl network
Use cases of Prowl
- Benchmark your own API to improve agent-friendliness
- Evaluate third-party APIs before integrating them into agent workflows
- Catch agent-efficiency regressions in CI/CD pipelines
- Compare API documentation quality across providers
- Score MCP servers or DeFi protocols for agent readiness
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