Mock sample for your project: BatchManagement API

Azure Alerts Management Service provides a single pane of glass of alerts across Azure Monitor.

REST API for Azure Logic Apps.

Azure Application Insights client for favorites.

Use these REST APIs for performing operations on Global Policies in Azure API Management deployment.

The Azure SQL Database management API provides a RESTful set of web APIs that interact with Azure SQL Database services to manage your databases. The API enables users to create, retrieve, update, and delete databases, servers, and other entities.

The Admin Subscriptions Management Client.

The Compute Management Client.

APIs to manage web application firewall rules for Azure CDN

The Admin Subscriptions Management Client.

Use these REST APIs for querying APIs. Operations and Products by tags in your Azure API Management deployment.

The Admin Storage Management Client.

An API for QnAMaker runtime

The Managed Labs Client.

Use this API to manage Microsoft HealthcareApis services in your Azure subscription.

The Anomaly Detector API detects anomalies automatically in time series data. It supports two kinds of mode, one is for stateless using, another is for stateful using. In stateless mode, there are three functionalities. Entire Detect is for detecting the whole series with model trained by the time series, Last Detect is detecting last point with model trained by points before. ChangePoint Detect is for detecting trend changes in time series. In stateful mode, user can store time series, the stored time series will be used for detection anomalies. Under this mode, user can still use the above three functionalities by only giving a time range without preparing time series in client side. Besides the above three functionalities, stateful model also provide group based detection and labeling service. By leveraging labeling service user can provide labels for each detection result, these labels will be used for retuning or regenerating detection models. Inconsistency detection is a kind of group based detection, this detection will find inconsistency ones in a set of time series. By using anomaly detector service, business customers can discover incidents and establish a logic flow for root cause analysis.

An API for face detection, verification, and identification.

API spec for Microsoft.Security (Azure Security Center) resource provider

To manage and control access to your resources, you can define customized policies and assign them at a scope.