# About
**Schemall is the source of structured meaning.**
Schemall helps teams design data schemas, create structured data from those schemas, and expose both schemas and data through an API.
The concept was created by Slava Belaev. In short, Schemall combines schema.org with a GitHub-like workflow for schemas and data: a place where schemas can be created, refined, reused, versioned, and connected to real objects through a simple API.
The idea is simple: first describe what kind of objects your project works with, then create and maintain the objects themselves, and then use the generated API to read schemas, validate payloads, and exchange data with other systems.
Schemall uses schema.org as a shared vocabulary for classes and properties. This makes the data model easier to understand, document, validate, and integrate. Each class can have a JSON Schema, OpenAPI documentation, validation endpoint, object collection, and version history.
With the service you can:
- create and refine data schemas;
- store objects that follow those schemas;
- validate objects before saving or exchanging them;
- browse object collections and object versions;
- retrieve schemas, validation results, objects, and object versions through API methods;
- use generated OpenAPI documentation as a contract for integrations.
Schemall is intended to be a practical data layer for websites, applications, directories, knowledge bases, and integrations that need structured, versioned, API-accessible data. This is especially important for autonomous AI agents that need a lightweight, shared way to understand, validate, publish, and consume data across different systems.