Mock sample for your project: Ink Recognizer Client API

REST API for Azure Logic Apps.

Azure EventGrid Management Client

Network admin operation endpoints and objects.

Microsoft Customer Engagement Fabric

APIs for managing software update configurations.

The Admin Commerce Management Client.

The Admin Commerce Management Client.

Use these REST APIs for performing operations on Tag entity in your Azure API Management deployment. Tags can be assigned to APIs, Operations and Products.

The Admin Gallery Management Client.

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

Creates an Azure Data Lake Store account management client.

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

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 Compute Management Client.

API to Add/Remove/List Guest Diagnostics Configuration to Azure Resources

Azure Digital Twins Client for managing DigitalTwinsInstance

Client to manage your Power BI Embedded workspace collections and retrieve workspaces.

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.

Cognitive Services Management Client