Mock sample for your project: SubscriptionsManagementClient API

Application operation results.

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

The Resource Health Client.

Subscription client provides an interface to create and manage Azure subscriptions programmatically.

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

REST API for Azure Logic Apps.

Infrastructure role operation endpoints and objects.

Azure Feature Exposure Control (AFEC) provides a mechanism for the resource providers to control feature exposure to users. Resource providers typically use this mechanism to provide public/private preview for new features prior to making them generally available. Users need to explicitly register for AFEC features to get access to such functionality.

Deployment Admin Client.

API to manage VM Insights Onboarding

Storage operation results.

An API for face detection, verification, and identification.

The Container Service Client.

The HDInsight Management Client.

APIs to deploy and manage resources to SeaBreeze.

Use this API to manage the IoTSpaces service instances 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.

The Container Service Client.

Azure Resource Graph API Reference

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.