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APIs & Integration

Schema

A defined structure describing which fields, types, and relationships data should have.

Example

A schema requires every extracted invoice to contain a date, vendor, and total.

Why it matters

It helps connected systems interpret information consistently and catch mismatches early.

You'll hear it

“This record is missing a required field.”

Can you control it?

Set by the team

The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.

Common questions

Does matching the schema prove the data is accurate?
No. Correct structure can contain incorrect values.
Can changing a schema break an existing connection?
Yes. Another system may still expect the old fields or types.
Must every field always be required?
No. A schema can distinguish required information from optional details.

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