Schema dependent required topic

JSON Schema dependentRequired field validation tools

A local workflow for creditCard requiring billingAddress, shippingAddress requiring recipientPhone, linked API fields, and pre-release dependentRequired checks.

Direct answer

When one field makes another field required, plain required is not enough. Express the relationship with JSON Schema dependentRequired, validate a short sample locally, and confirm cases such as creditCard without billingAddress or shippingAddress without recipientPhone are caught before release.

Long-tail searches covered
JSON Schema dependentRequireddependentRequired validationdependent required fieldscreditCard billingAddress schemashippingAddress recipientPhonelinked API field validationJSON Schema conditional fields

Common lookup scenarios

Require billingAddress when creditCard exists

Require recipientPhone when shippingAddress exists

Validate linked API input fields

Check that dependent required rules are not ignored

Turn field-path inventories into Schema constraints

Recommended workflow

  1. Format the sample JSON and inspect field paths
  2. Add trigger fields and dependent fields to dependentRequired
  3. Run Schema validation and inspect error paths
  4. Confirm fields with Pointer or key paths
  5. Use Deep Diff before release to see whether field changes affect dependency rules

Related tool entries

A local workflow for creditCard requiring billingAddress, shippingAddress requiring recipientPhone, linked API fields, and pre-release dependentRequired checks.

FAQ

When one field makes another field required, plain required is not enough. Express the relationship with JSON Schema dependentRequired, validate a short sample locally, and confirm cases such as creditCard without billingAddress or shippingAddress without recipientPhone are caught before release.

How is dependentRequired different from required?

required means a field is always mandatory. dependentRequired means a field becomes mandatory only when a trigger field is present.

Do these examples upload API data?

No. Schema validation runs in the browser. The sitemap only includes short demo examples, not user input.

Continue with these topics

Searchable topic pages that group related tools, answer specific lookup intents, and make Chakan easier for search engines and AI systems to understand.

DataMust Do

CSV data cleaning, filtering, and import-readiness tools

A focused tool set for CSV column extraction, header normalization, row filtering, type inference, schema drafts, and import checks.

Open topic
DataMust Do

JSON API field inventory, path extraction, and mapping tools

Structured entry points for API responses, nested JSON, field mapping, path extraction, and schema validation.

Open topic
DataMust Do

JSON data conversion, formatting, and API debugging tools

A practical workflow for converting CSV, XML, YAML, INI, TOML, and JSONL into JSON, then formatting, extracting paths, and checking diffs.

Open topic