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Introducing Catalog Asset & Data Quality APIs
Announcing the release of Decube’s Catalog Asset APIs and Data Quality Scorecard API—empowering teams to automate asset management, synchronize metadata, and monitor data quality programmatically. These new APIs streamline data operations and enable proactive, trustworthy data governance.

We’re happy to announce a major enhancement to our Public API: the release of two powerful new APIs—Catalog Asset APIs and the Data Quality Scorecard API. These updates give you programmatic control over your data assets and their quality, making it easier than ever to automate discovery, manage metadata, monitor data health, and integrate asset information directly into your workflows.
What’s New: Asset APIs & Data Quality Scorecard API
We’re introducing two major capabilities:
1. Catalog Asset APIs
Interact with your data catalog programmatically to automate asset discovery, metadata management, and integration with your workflows.
Key Features:
- Find assets instantly: Use POST /assets/search to locate specific assets by type, tags, ownership, or other metadata.
- Retrieve detailed information: Get the latest details for any asset with GET /assets.
- Update metadata in bulk: Use PATCH /assets to update asset descriptions, ownership, and other custom properties automatically.
Example Workflow: Syncing Data Warehouse Descriptions to Decube
- A data engineer updates asset descriptions directly in the data warehouse.
- A scheduled script or process detects these changes and uses POST /assets/search to locate the corresponding assets in Decube.
- The script then calls PATCH /assets to update the asset descriptions in Decube, ensuring the catalog stays in sync with the latest warehouse metadata.
2. Data Quality Scorecard API
Programmatically retrieve, monitor, and report on the quality of your data assets—empowering your team to maintain high standards of data trust and compliance.
Key Features:
- Generate DQ Scorecard: Generate data quality scorecard reports for specified periods. Reports can be filtered by data source, schema, data quality dimensions, data owners, and tags.
- Retrieve DQ Scorecard Result: Access generated report results, including aggregated and latest DQ scores, error counts, and monitor details.
Example Workflow: Automated Data Quality Monitoring and Reporting
- Schedule a daily job that calls the Scorecard API to fetch data quality scores for the previous day.
- Ingest the API results into your data warehouse for centralized storage and analysis.
- Build a dashboard in your BI tool to surface these quality metrics to internal users, enabling proactive monitoring and transparency.
Looking Ahead
This is just the beginning for these APIs. We're already planning to expand their capabilities to give you even more control over your data assets and their quality. Here’s what’s planned for the next few weeks:
- Monitors (Data Quality Rules) Management: Configure and manage data quality monitors and rules via the API.
- Data Sources Management: Automate the management of your connected data sources.
Check out the full API documentation here to get started.
We can't wait to see what you build!