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API Error — 422 Validation (JSON)

A 422 validation-error response with a machine-readable list of field errors — for testing form-validation surfacing and error mapping.

Preview — first 17 linesjson
{
  "type": "https://example.com/errors/validation",
  "title": "Unprocessable Entity",
  "status": 422,
  "detail": "The request body failed validation.",
  "errors": [
    {
      "field": "email",
      "message": "must be a valid email address"
    },
    {
      "field": "name",
      "message": "must not be empty"
    }
  ]
}

Specifications

Format
application/problem+json
Status
422
Field Errors
2

What is a .json file?

JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.

How to use this file

Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.

How to use this file for testing

“API Error — 422 Validation (JSON)” is a deterministic Novus Examples fixture for API testing, Conversion testing. OpenAPI/Swagger specs, GraphQL SDL, JSON Schema, paginated and problem+json error payloads, and webhook samples — for testing API clients, mock servers, contract tests, and schema validators.

Documented properties for this file: application/problem+json. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

Data fixtures document their exact quirks — delimiters, encodings, null handling, schema, and row counts — in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.

Code examples

import json

with open("error-422.json") as f:
    data = json.load(f)
print(type(data), len(data))

Generated by generation/data_dev_fixtures.py. Free for any use, no attribution required — license.