
APIEval-20
An open benchmark for AI agents that test APIs
About APIEval-20
APIEval-20 offers a groundbreaking approach to testing AI-powered API agents by providing a standardized, objective benchmark. Designed for developers and AI researchers, it evaluates how effectively autonomous agents can identify bugs across various API functionalities, including authentication, error handling, pagination, schema validation, and multi-step workflows. What sets APIEval-20 apart is its black-box testing methodology: each agent operates solely with a JSON schema and a single sample payload, then generates a test suite that is run against live reference APIs containing intentionally planted bugs. The scoring system is entirely objective, measuring bug detection accuracy, API coverage, and efficiency without subjective judgments. Hosted openly on Hugging Face, this tool fosters transparency and community collaboration, making it ideal for advancing AI testing capabilities and benchmarking progress in API testing automation.
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Pros
- ✓Objective, bug-for-bug scoring eliminates subjective bias
- ✓Standardized benchmark enables fair comparison of AI agents
- ✓Supports diverse API testing scenarios including auth, errors, and multi-step flows
- ✓Openly accessible and hosted on Hugging Face for community use
- ✓Encourages development of more robust AI testing agents
Cons
- ✗Limited to API testing; not a general AI evaluation tool
- ✗Requires familiarity with JSON schemas and payloads
- ✗Potentially complex setup for beginners unfamiliar with API testing
Use Cases
Pricing
Likely free and open source, given its hosting on Hugging Face and focus on community benchmarking; specific pricing details are not provided.
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