# Model Serving Endpoints API

**Canonical:** https://apis.io/apis/microsoft-azure-databricks/model-serving-endpoints-api/  
**Provider:** Azure Databricks — https://apis.io/providers/microsoft-azure-databricks/  
**Base URL:** https://<databricks-instance>.azuredatabricks.net/api/2.0/serving-endpoints

Model Serving Endpoints API is one of 38 APIs that [Azure Databricks](https://apis.io/providers/microsoft-azure-databricks/) publishes on the [APIs.io](https://apis.io/) network. Tagged areas include Deployment, Inference, Machine-Learning, and Model Serving. The published artifact set on APIs.io includes API documentation and an API reference.

Create and manage model serving endpoints for deploying machine learning models as REST API endpoints.

## Machine-readable artifacts (2)

- **Documentation** — https://learn.microsoft.com/azure/databricks/machine-learning/model-serving/create-manage-serving-endpoints
- **APIReference** — https://docs.databricks.com/api/azure/workspace/servingendpoints

## Other Azure Databricks APIs (12)

- [DBFS API](https://apis.io/apis/microsoft-azure-databricks/dbfs-api/)
- [Libraries API](https://apis.io/apis/microsoft-azure-databricks/libraries-api/)
- [Secrets API](https://apis.io/apis/microsoft-azure-databricks/secrets-api/)
- [Token Management API](https://apis.io/apis/microsoft-azure-databricks/token-management-api/)
- [SQL Analytics API](https://apis.io/apis/microsoft-azure-databricks/sql-analytics-api/)
- [MLflow API](https://apis.io/apis/microsoft-azure-databricks/mlflow-api/)
- [Instance Pools API](https://apis.io/apis/microsoft-azure-databricks/instance-pools-api/)
- [Cluster Policies API](https://apis.io/apis/microsoft-azure-databricks/cluster-policies-api/)
- [Repos API](https://apis.io/apis/microsoft-azure-databricks/repos-api/)
- [Git Credentials API](https://apis.io/apis/microsoft-azure-databricks/git-credentials-api/)
- [Pipelines API](https://apis.io/apis/microsoft-azure-databricks/pipelines-api/)
- [Permissions API](https://apis.io/apis/microsoft-azure-databricks/permissions-api/)

## Tags

Deployment, Inference, Machine-Learning, Model Serving

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