# Databricks Model Registry API

**Canonical:** https://apis.io/apis/databricks/model-registry-api/  
**Provider:** Databricks — https://apis.io/providers/databricks/  
**Documentation:** https://docs.databricks.com/api/workspace/modelregistry

Databricks Model Registry API is one of 57 APIs that [Databricks](https://apis.io/providers/databricks/) publishes on the [APIs.io](https://apis.io/) network. Tagged areas include Machine-Learning, MLflow, and Model Registry. The published artifact set on APIs.io includes API documentation.

The Databricks Model Registry API provides the workspace model registry for managing the full lifecycle of ML models. It enables creating registered models, managing model versions, transitioning stages, and setting permissions for collaborative model governance and deployment.

## Machine-readable artifacts (1)

- **Documentation** — https://docs.databricks.com/api/workspace/modelregistry

## Other Databricks APIs (12)

- [Databricks](https://apis.io/apis/databricks/databricks/)
- [Databricks DBFS API](https://apis.io/apis/databricks/dbfs-api/)
- [Databricks SQL Warehouses API](https://apis.io/apis/databricks/sql-warehouses-api/)
- [Databricks Pipelines API](https://apis.io/apis/databricks/pipelines-api/)
- [Databricks Serving Endpoints API](https://apis.io/apis/databricks/serving-endpoints-api/)
- [Databricks Secrets API](https://apis.io/apis/databricks/secrets-api/)
- [Databricks Instance Pools API](https://apis.io/apis/databricks/instance-pools-api/)
- [Databricks Token Management API](https://apis.io/apis/databricks/token-management-api/)
- [Databricks Catalogs API](https://apis.io/apis/databricks/catalogs-api/)
- [Databricks Vector Search Indexes API](https://apis.io/apis/databricks/vector-search-indexes-api/)
- [Databricks Model Versions API](https://apis.io/apis/databricks/model-versions-api/)
- [Databricks Permissions API](https://apis.io/apis/databricks/permissions-api/)

## Tags

Machine-Learning, MLflow, Model Registry

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/apis/databricks/model-registry-api/). The API's provider profile, Kin Score and agent-readiness rating are at https://apis.io/providers/databricks/.