Mock sample for your project: SqlManagementClient API

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

The service for managing third party addons.

Azure Log Analytics API reference for management of saved Queries within Query Packs.

Azure Application Insights client for saved items.

Use these REST APIs for performing retrieving a collection of policy snippets available in Azure API Management deployment.

Use this REST API to get all the issues across an Azure Api Management service.

Use these REST APIs for performing operations on tenant entity associated with your Azure API Management deployment. Using this entity you can manage properties and configuration that apply to the entire API Management service instance.

Describes the interface for the per-tenant enclave service.

Use these REST APIs for performing operations on Cache entity in your Azure API Management deployment. Azure API Management also allows for caching responses in an external Azure Cache for Redis. For more information refer to External Redis Cache in ApiManagement.

The Image Search API lets you send a search query to Bing and get back a list of relevant images. This section provides technical details about the query parameters and headers that you use to request images and the JSON response objects that contain them. For examples that show how to make requests, see Searching the Web for Images.

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.

Azure DevOps Resource Provider

Allows extension of ARM control plane with custom resource providers.

Resource Provider

An API for face detection, verification, and identification.

The Container Service Client.

HyperDrive REST API

Use these APIs to manage Azure Front Door resources through the Azure Resource Manager. You must make sure that requests made to these resources are secure.