# JSON Field Extraction, Transformation, and Provenance

Extract selected JSON fields by path, reshape the payload with JSONata, and record field-level provenance without claiming business-semantic validation.

> Canonical page: https://elysiatools.com/en/hubs/json-extraction-transformation-and-provenance

- **Keywords:** JSON field extraction, JSONPath queries, JSONata transformation, JSON data lineage, payload provenance

## Frequently asked questions

### Does the lineage record prove that the business meaning is correct?

No. It documents where fields came from and how they were transformed. A domain owner still has to review whether the values mean what the application expects.

### When should I use JSONPath instead of JSONata?

Use JSONPath to find, select, and count values in the source. Use JSONata when those values need a new structure, renaming, filtering, or derivation.

### What should happen when a requested path is missing?

Keep the missing count and path in the evidence, then follow the declared policy for omission or null output. Do not fill the value with an assumption just to make the sample pass.

### Can this workflow validate a live API or a production pipeline?

It is designed for supplied JSON samples and reviewable transformation evidence. It does not by itself monitor production, deploy an API, or verify downstream business behavior.

## Related content

- [JSON Normalization and Interchange Workflow](https://elysiatools.com/en/hubs/json-convert): Turn a structured source into a checked JSON representation, then export the exact table, configuration, document, API, XML, CSON, EDN, BSON, or UBJSON form required downstream.
- [JSON Change Review and Normalization Workflow](https://elysiatools.com/en/hubs/json-format): Prepare a canonical JSON or JSONL input, compare it with a baseline or environment bundle, investigate quality signals, and deliver a documented normalized result.