Mock sample for your project: Mixed Reality API

Integrate with "Mixed Reality API" from azure.com in no time with Mockoon's ready to use mock sample

Mixed Reality

azure.com

Version: 2019-02-28-preview


Use this API in your project

Speed up your application development by using "Mixed Reality API" ready-to-use mock sample. Mocking this API will allow you to start working in no time. No more accounts to create, API keys to provision, accesses to configure, unplanned downtime, just work.
It also improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.

Description

Mixed Reality Resource Provider REST API

Other APIs by azure.com

ApplicationInsightsManagementClient

azure.com
Azure Application Insights client for web test locations.

PolicyStatesClient

azure.com

Azure Machine Learning Datastore Management Client

azure.com

BlockchainManagementClient

azure.com
REST API for Azure Blockchain Service

FabricAdminClient

azure.com
Infrastructure role operation endpoints and objects.

InfrastructureInsightsManagementClient

azure.com
Resource health operation endpoints and objects.

GalleryManagementClient

azure.com
The Admin Gallery Management Client.

FabricAdminClient

azure.com
Logical subnet operation endpoints and objects.

UsageManagementClient

azure.com

FabricAdminClient

azure.com
The Admin Fabric Management Client.

ApiManagementClient

azure.com
Use these REST APIs for performing operations on NamedValue entity associated with your Azure API Management deployment. API Management policies are a powerful capability of the system that allow the publisher to change the behavior of the API through configuration. Policies are a collection of statements that are executed sequentially on the request or response of an API. Policy statements can be constructed using literal text values, policy expressions, and NamedValues. Each API Management service instance has a NamedValues collection of key/value pairs that are global to the service instance. These NamedValues can be used to manage constant string values across all API configuration and policies.

ApiManagementClient

azure.com
Use these REST APIs for performing operations on who is going to receive notifications associated with your Azure API Management deployment.

Other APIs in the same category

Security Center

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

Azure Maps Resource Provider

azure.com
Resource Provider

PostgreSQLManagementClient

azure.com
The Microsoft Azure management API provides create, read, update, and delete functionality for Azure PostgreSQL resources including servers, databases, firewall rules, VNET rules, security alert policies, log files and configurations with new business model.

NetworkManagementClient

azure.com
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.

Mixed Reality

azure.com
Mixed Reality Resource Provider REST API

MariaDBManagementClient

azure.com
The Microsoft Azure management API provides create, read, update, and delete functionality for Azure MariaDB resources including servers, databases, firewall rules, VNET rules, log files and configurations with new business model.

QnAMaker Client

azure.com
An API for QnAMaker Service

ConsumptionManagementClient

azure.com
Consumption management client provides access to consumption resources for Azure Enterprise Subscriptions.

Azure Metrics

azure.com
A client for issuing REST requests to the Azure metrics service.

ContainerServiceClient

azure.com
The Container Service Client.

MonitorManagementClient

azure.com

Anomaly Detector Client

azure.com
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.