KushoAI introduces OpenAPI Spec Analyzer for agentic API testing

KushoAI has launched OpenAPI Spec Analyzer, a free tool designed to help enterprises evaluate whether their OpenAPI specifications are ready for agentic and AI-powered API testing.

The Bangalore-based AI-native software reliability platform said the solution has introduced what it describes as the industry’s first Test Readiness Score for OpenAPI specifications. The tool was developed to help engineering teams assess whether their API documentation contains the information required for effective automated test generation, beyond basic standards compliance.

As AI-assisted software development and testing have gained momentum, organisations have increasingly relied on OpenAPI specifications to support automation initiatives. However, KushoAI noted that many specifications, while technically compliant, have lacked key elements such as examples, validation constraints, error responses and endpoint metadata that modern AI-driven testing systems depend on.

OpenAPI Spec Analyzer has been designed to address this challenge by evaluating OpenAPI 3.x specifications across ten categories, including endpoint coverage, schema quality, authentication documentation, validation constraints, error response completeness and documentation depth.

The platform has generated an instant report featuring an overall Test Readiness Score out of 100, category-level assessments, endpoint-specific analysis and prioritised recommendations for improvement. Reports can also be exported in JSON and Markdown formats.

Abhishek Saikia, Co-founder of KushoAI, said: “The industry has long focused on whether API specifications are valid, but not whether they are actually useful for testing. As AI-generated testing has become more mainstream, specification quality has become a direct factor in test quality. We built the Test Readiness Score to help developers measure that readiness and understand exactly what needs improvement.”

KushoAI said the tool has been made available free of charge without any sign-up requirement. The company added that making test readiness measurable could help engineering teams identify quality gaps earlier, improve software reliability and strengthen testing outcomes before applications move into production environments.

The launch reflects growing industry focus on improving the quality of API specifications as organisations continue to adopt AI-powered development and testing practices at scale.