This guide provides comprehensive documentation for the Catalyzed platform's dataset API suite, including datasets, schema versions, and data versions management.

Overview

The dataset API suite consists of three interconnected services:

• Datasets (/datasets) - Core dataset management
• Dataset Schema Versions (/dataset-schema-versions) - Column definitions and data transformations
• Dataset Data Versions (/dataset-data-versions) - File uploads and data content management

For authentication, request formatting, pagination, rate limits, and other common API patterns, please refer to our comprehensive REST API documentation.

Base URL: https://platform-api.us.catalyzed.ai

Core Concepts

Dataset Lifecycle

1. Create Dataset - Establish dataset metadata and permissions
2. Define Schema - Create schema version with column definitions and transformations
3. Upload Data - Create data version and upload file content
4. Process Dataset - Trigger ML/AI processing pipeline
5. Query & Download - Access processed data and results

Version Management

Both schema and data use a versioning system:

• draft - Work-in-progress versions
• current - Active version in use