JSON Schema for data validation

JSON Schema for data validation

For safe and predictable API operation, it is necessary to strictly control what data is received and returned. We implement support for JSON Schema, a formal description of the data structure that allows you to automatically validate requests and responses on the server and client side.

JSON Schema helps identify integration errors, eliminate unstable behavior, ensure interoperability between systems, and improve API interoperability.

What JSON Schema gives

Opportunity	What	Provides
Structure Check	Verify that the object matches expected fields and types
Required Fields	Critical Attribute Control
Typing	Clear check of numbers, strings, boolean and arrays
Restrictions and formats	Support for minimum/maximum length, enum, pattern, email format, etc.
Reuse	Create templates and reused components

How validation works

1. The request or response is compared to a predefined schema
2. If there are deviations, the API returns an error with an explanation
3. Schemas can be merged, inherited, conditional rules can be used
4. Applicable at any level: query, body, headers, query parameters

Benefits for APIs and Clients

Protection against incorrect and malicious data
Improve integration stability and predictability of behavior
Automatic Testing and Generation of Circuit-Based Moks
Ability to use schemas in documentation and Swagger/OpenAPI
Simplifies API support and scaling

Where especially relevant

Platforms with external integrations and partner APIs
Mobile and frontend applications waiting for a clear response structure
CI/CD pipelines with automatic API testing
Systems with dynamically changing parameters and contracts

JSON Schema is a fundamental technology for strict and reliable API operation. It makes your data validated, integration secure, and development predictable.