Glossary
Glossary
Schema Inference
Automatically determining the shape and types of a system’s data by introspecting its live responses.
Schema inference is how the engine learns the structure of a system it has been pointed at. It calls sample endpoints, evaluates the response shape, infers field names, types, nullability, and nesting, and samples across multiple pages to build a complete picture.
The inferred entities and operations are then mapped onto existing Universal Data Model Nouns and Verbs with a confidence score; low-confidence mappings are flagged for review. The output is a versioned mapping manifest that becomes the contract for the generated connector.