public class JsonSchemaController : ControllerBase { [HttpPost] [Route("api/jsonschema/validate")] public ValidateResponse Validate(ValidateRequest request) { // Load schema JSchema schema = JSchema.Parse(request.Schema); JToken json = JToken.Parse(request.Json); // Validate json IList<ValidationError> errors; bool valid = json.IsValid(schema, out errors); // Return error messages and line info to the browser return new ValidateResponse { Valid = valid, Errors = errors }; } } public class ValidateRequest { public string Json { get; set; } public string Schema { get; set; } } public class ValidateResponse { public bool Valid { get; set; } public IList<ValidationError> Errors { get; set; } }

When you define properties, you create an object where each property represents a key in the JSON data that’s being validated. You can also specify which properties defined in the object are required. Using the product catalog example, productId is a numeric value that uniquely identifies a product.

This library uses Jackson which is a Java JSON parser that is widely used in other projects. If you are already using the Jackson parser in your project, it is natural to choose this library over others for schema validation. The library works with JSON and YAML on both schema definitions and input data.

Ben Hutton (opens new window), JSON Schema Specification Lead · ESLint (opens new window) has used Ajv for validating our complex configurations.

The value of this property MUST be a valid JSON schema. It SHOULD be ignored if "contentMediaType" is not present.¶ · Here is an example schema, illustrating the use of "contentEncoding" and "contentMediaType":¶

To handle JSON Schema’s type keyword, a Validator uses an associated TypeChecker. The type checker provides an immutable mapping between names of types and functions that can test if an instance is of that type. The defaults are suitable for most users - each of the versioned validators that are included with jsonschema have a TypeChecker that can correctly handle their respective versions. ... For an example of providing a custom type check.

May 31, 2023 - Using validation keywords like minimum and required. Adding documentation. In this section we will discuss a few more advanced features of JSON Schema. When a JSON Schema grows large or has repeated data structures, you can use $defs and $ref to organize, reference and reuse parts of the data structure. In our example, we can extract the definition of a single friend object:

JSON Schema Validation, in browser, using ajv, with linting, and shareable schemas

💡 Test edge cases — Validate with empty objects, null values, and boundary numbers to ensure your schema handles them correctly. This validator uses Ajv and supports JSON Schema draft-07 by default.

In the above data, propertiesCount is 5 but since foo is missing, propertiesCount does not need to be 7 or more than 7, it only needs to be greater than or equal to 0. Hence, this instance is valid.

Discover JSON Schema tooling to help your organization leverage the benefits of JSON Schema. Because JSON Schema is much more than a Specification, it is a vibrant ecosystem of Validators, Generators, Linters, and other JSON Schema Utilities made by this amazing Community.Explore

If no $schema property is found, the default validator class is the latest released draft. Any other provided positional and keyword arguments will be passed on when instantiating the cls. ... If you are unfamiliar with protocols, either as a general notion or as specifically implemented by typing.Protocol, you can think of them as a set of attributes and methods that all objects satisfying the protocol have. Here, in the context of jsonschema, the Validator.iter_errors method can be called on jsonschema.validators.Draft202012Validator, or jsonschema.validators.Draft7Validator, or indeed any validator class, as all of them have it, along with all of the other methods described below.

Enter a JSONSchema on the left and your JSON on the right to validate it against the schema, or use the API.

Validates that a JSON document is syntactically valid, and that it conforms to the definition described by a JSON Schema.

Bowtie is a meta-validator for JSON Schema implementations and it provides compliance reports.

You can read more about JSON Schema at json-schema.org ... The simplest way to check if JSON is valid is to load the JSON into a JObject or JArray and then use the IsValid(JToken, JsonSchema) method with the JSON Schema.

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January 21, 2025 - Some keys in our JSON are required, ... For example, if we got a certain key, then a second key must appear. The value of one key can be dependent on a second key value. All those scenarios and many more can be tested and validated locally using ...

July 8, 2024 - As JSON Schema provides complete ... Consider the following example of Post Response from a restful-booker website where the following data is returned in response once the user hits ......

You can change this behavior to ... option to false. ... var schema = { type: "string", format: "email", example: "foo", }; var result = validate("Name", schema, { allowUnknownAttributes: false });...