Mock sample for your project: ResourceManagementClient API

Azure Service Fabric Resource Provider API Client

The Admin Gallery Management Client.

Azure Log Analytics API reference for Query Packs management.

Dev Spaces REST API

The service is used to perform ink layout and recognition of written words and shapes. Ink strokes passed to the service are recognized and organized into recognition results in the response

The Azure Analysis Services Web API provides a RESTful set of web services that enables users to create, retrieve, update, and delete Analysis Services servers

Operation status operation endpoints and objects.

Storage system operation endpoints and objects.

Azure Bot Service is a platform for creating smart conversational agents.

The Admin Storage Management Client.

Virtual Network admin operation endpoints and objects.

Application operation results.

The Microsoft Azure Network management API provides a RESTful set of web services that interact with Microsoft Azure Networks service to manage your network resources. The API has entities that capture the relationship between an end user and the Microsoft Azure Networks service.

The OpenALPR CarCheck API allows you to send images to the cloud for processing.
The image will be analyzed for license plates and vehicle make/models. The results
are returned in JSON format

Azure Event Hubs client for managing Event Hubs Cluster, IPFilter Rules and VirtualNetworkRules resources.

Mixed Reality Resource Provider Proxy API

Media Services resource management APIs.

Cognitive Services Management Client

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.

This Swagger was generated by the API Framework.

This Swagger was generated by the API Framework.

This Swagger was generated by the API Framework.

Azure Cosmos DB Database Service Resource Provider REST API