Data Extract API

A focused use case

Build a supplier catalog that tracks a product identifier, an observed value, and the source used to support it. Start with one permitted supplier rather than mixing several incompatible definitions of a product.

A practical workflow

Define the receiving task first. Acquire the source, identify the record, validate required fields, and deliver only accepted results. Keep job outcomes separate from business fields so that a network success cannot hide an extraction failure.

An example record contract

These fields illustrate the decisions to make before implementation. Adapt the names and required values to the receiving system; the table is not a promise of a live endpoint or a provider-specific response.

Limits worth keeping visible

A serialized response is not a guarantee of accuracy. Require evidence for important values and do not replace unavailable data with plausible guesses.

Before increasing the workload

Run a small, authorized test set through the whole path, including the receiving application. Keep accepted, rejected, and incomplete outcomes distinguishable. A result should retain the context needed to explain its meaning after it leaves the extractor.

Continue with Data Extract API: Build a Contract You Can Trust for the full implementation discussion, and use the sample contract documentation to review the shape of a handoff.