jentic-api-scorecard

To check AI readiness, you score your OpenAPI document against the Jentic API AI Readiness Framework. This process performs linting and analysis to identify syntax errors and semantic inconsistencies, returning a machine-readable grade.

OpenAPI AI readiness scoring measures your specification against the Jentic API AI Readiness Framework (JAIRF). It evaluates quality and safety by linting the document and producing a scorecard to ensure APIs are reliable for AI agents.

Yes, you can integrate OpenAPI linting into CI/CD pipelines and GitHub Actions. The tool outputs a machine-readable JSON scorecard that automates API quality checks and blocks deployments on semantic inconsistencies.

You generate an OpenAPI scorecard by running the scoring command with your API key and document path. The tool outputs custom reports in various formats including JSON, HTML, and markdown for documentation and CI automation.

Yes, OpenAPI quality analysis supports optional LLM enrichment. Language models provide additional signals to enrich the standard linting and semantic analysis, offering deeper insights into your API specification.