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Stanislav Anisimov
JSON Schema for data validation
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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

OpportunityWhat provides
Structure checkMake sure the object matches the expected fields and types
Required fieldsCritical Attribute Control
TypificationClear check of numbers, strings, boolean and arrays
Constraints and formatsSupport for minimum/maximum length, enum, pattern, email format, etc.
ReuseCreate templates and reusable 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.

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