Microsoft Azure APIs

237 APIs4,900 Endpoints17 Categories

API Catalog(8 of 237)

Azure Log Analytics

Jentic publishes the only available OpenAPI specification for Azure Log Analytics, keeping it validated and agent-ready. The Azure Log Analytics API in this version manages dedicated Log Analytics Clusters within the Microsoft.OperationalInsights namespace. It lets operators provision a cluster, scale capacity reservations, attach customer-managed keys for encryption, and link workspaces into the cluster for cross-workspace querying. All requests go through Azure Resource Manager and authenticate with Azure AD OAuth 2.0.

6 endpoints

Azure Log Analytics Query Packs

Jentic publishes the only available OpenAPI specification for Azure Log Analytics Query Packs, keeping it validated and agent-ready. The Query Packs API manages saved KQL queries inside microsoft.insights/queryPacks containers, letting teams version, organise, and search reusable queries that target Log Analytics workspaces or Application Insights resources. It exposes per-query CRUD plus a search endpoint that filters queries by tag, kind, or related solution. All requests authenticate with Azure AD OAuth 2.0 against Azure Resource Manager.

5 endpoints

AzureAnalysisServices

Jentic publishes the only available OpenAPI specification for Azure Analysis Services, keeping it validated and agent-ready. The API provisions and lifecycle-manages Analysis Services servers — the SQL Server Analysis Services tabular engine running in Azure — letting agents create, suspend, resume, scale, and delete servers, list available SKUs, check name availability, and dissociate or query the on-premises gateway. It targets the Microsoft.AnalysisServices resource provider on Azure Resource Manager and is intended for BI infrastructure automation rather than for querying tabular models directly.

16 endpoints

DatabricksClient

Jentic publishes the only available OpenAPI specification for DatabricksClient, keeping it validated and agent-ready. The Azure Resource Manager API for Databricks exposes 7 operations across 4 paths to provision, list, update, and delete Azure Databricks workspaces. A workspace is the top-level Databricks tenant on Azure that holds clusters, notebooks, jobs, and data; this management API handles its lifecycle including SKU and managed resource group configuration. Use it to stand up new Databricks environments for analytics teams, list existing workspaces by subscription or resource group, and decommission them when projects end.

7 endpoints

DataFactoryManagementClient

Jentic publishes the only available OpenAPI specification for DataFactoryManagementClient, keeping it validated and agent-ready. The Azure Data Factory management API exposes 76 operations across 58 paths to provision factories and manage every artefact inside them: linked services, datasets, pipelines, triggers, integration runtimes, data flows, and debug sessions. Use it to stand up a new Data Factory, configure source-control integration, register linked services for source and sink stores, define and run pipelines, and operate self-hosted or Azure-hosted integration runtimes for hybrid ETL.

76 endpoints

DataLakeAnalyticsAccountManagementClient

Jentic publishes the only available OpenAPI specification for DataLakeAnalyticsAccountManagementClient, keeping it validated and agent-ready. The Azure Data Lake Analytics management API exposes 31 operations across 17 paths to provision and configure Data Lake Analytics accounts, attach Data Lake Store and Azure Storage data sources, define compute policies that govern user job concurrency and parallelism, and check name availability and capability quotas in a region. Use it to stand up Data Lake Analytics accounts for U-SQL workloads, control how analysts share cluster capacity, and inventory accounts at the subscription level.

31 endpoints

StreamAnalyticsManagementClient

Jentic publishes the only available OpenAPI specification for StreamAnalyticsManagementClient, keeping it validated and agent-ready. The Azure Stream Analytics management API exposes functions defined inside a streaming job — user-defined functions (UDFs), Azure Machine Learning bindings, and JavaScript scalar functions — together with operations to test them and retrieve default definitions. It covers create, update, list, delete, test, and retrieve-default-definition for functions on a streaming job. Use it to manage the function layer of a Stream Analytics job from CI/CD or operational scripts.

7 endpoints

WorkbookClient

The Azure WorkbookClient API exposes the operations metadata for Azure Monitor Workbooks under the Microsoft.Insights provider. This 2018-06-17 preview slice contains a single operation, Operations_List, that enumerates the available REST API operations for Insights. Use it to discover supported actions and as a discovery surface for tooling that wraps the broader Insights and Workbooks ecosystem.

1 endpoints

Connect Your Agent

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.