Microsoft Azure Azure Log Analytics Query Packs

Name: Azure Log Analytics Query Packs API
Brand: Azure Log Analytics Query Packs
Availability: InStock

★ Only Publicly Available OpenAPI DocumentAnalyticsBusiness Intelligenceoauth25 EndpointsREST

For Agents

Manage saved KQL queries inside Azure Log Analytics Query Packs — create, update, delete, list, and search reusable queries that operate against workspaces and Application Insights resources.

Install Jentic One Beta

Connect the Azure Log Analytics Query Packs to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Azure Log Analytics Query Packs, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

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.

Capabilities

What an agent can do with Azure Log Analytics Query Packs API.

Save a KQL query into a microsoft.insights/queryPacks container

List every query stored inside a specific Query Pack

Search queries within a Query Pack by tag, related solution, or kind

GET STARTED

Start building with Azure Log Analytics Query Packs API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use Azure Log Analytics Query Packs API for, with concrete tasks.

★ Centralised KQL Query Library

Platform teams curate a shared library of KQL queries inside a Query Pack so analysts and incident responders reuse the same logic across workspaces. The PUT on a query inside a pack stores the KQL body alongside tags, a display name, and related solutions, and the search endpoint surfaces matching queries to consumers without duplicating them per workspace.

Save a KQL query named 'Failed sign-ins last 24h' into Query Pack 'qp-security' in resource group 'rg-observability', tagged 'category:identity', with the body 'SigninLogs | where ResultType != 0 | summarize count() by UserPrincipalName'.

Query Discovery via Tag Search

Analysts call the POST search endpoint inside a Query Pack with a body that filters on tags, related solutions, or query kind, and receive only the matching queries. This is faster than enumerating every query in a large pack and supports building UI pickers or chat-driven query selection.

Search Query Pack 'qp-security' for queries tagged 'category:identity' and return their queryId, displayName, and body.

Query Versioning and Cleanup

As detection rules evolve, queries in a pack drift out of date. The PUT on a query is idempotent and replaces the body in place, while DELETE removes obsolete entries. Pair this with a CI workflow that pushes the canonical KQL from a Git repository into the pack on every merge to main.

Update query ID 'fb02-...-9c' in Query Pack 'qp-security' with a new body and bump its tag 'version' from 'v3' to 'v4'.

Agent-Driven Query Retrieval

An AI agent through Jentic can search a Query Pack for the right saved KQL by intent (e.g., 'find failed sign-ins'), retrieve the query body, and pass it to the Log Analytics Query API for execution. Jentic returns the search and get operations with full schemas, so the agent does not have to hardcode KQL.

Search Query Pack 'qp-security' for the first query tagged 'incident:failed-signins', read its body, and return it for downstream execution.

Key Endpoints

5 endpoints — jentic publishes the only available openapi specification for azure log analytics query packs, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

PUT

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/microsoft.insights/queryPacks/{queryPackName}/queries/{queryId}

Save or replace a KQL query in a Query Pack

GET

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/microsoft.insights/queryPacks/{queryPackName}/queries/{queryId}

Retrieve a single saved query

GET

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/microsoft.insights/queryPacks/{queryPackName}/queries

List all queries inside a Query Pack

POST

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/microsoft.insights/queryPacks/{queryPackName}/queries/search

Search queries inside a pack by tag or kind

DELETE

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/microsoft.insights/queryPacks/{queryPackName}/queries/{queryId}

Delete a query from a pack

PUT

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/microsoft.insights/queryPacks/{queryPackName}/queries/{queryId}

Save or replace a KQL query in a Query Pack

GET

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/microsoft.insights/queryPacks/{queryPackName}/queries/{queryId}

Retrieve a single saved query

GET

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/microsoft.insights/queryPacks/{queryPackName}/queries

List all queries inside a Query Pack

POST

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/microsoft.insights/queryPacks/{queryPackName}/queries/search

Search queries inside a pack by tag or kind

DELETE

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

Azure AD service principal credentials are stored encrypted in the Jentic vault. Agents receive short-lived Bearer tokens scoped to https://management.azure.com/ — client secrets never enter the agent context.

Intent-based discovery

Agents search by intent (e.g., 'search saved KQL queries') and Jentic returns the matching microsoft.insights/queryPacks operation with its parameter schema.

Time to first call

Direct integration: half a day for Azure AD app setup and pack/query CRUD wiring. Through Jentic: under 30 minutes — search, load schema, execute.

FAQs

Specific to using Azure Log Analytics Query Packs API through Jentic.

Why is there no official OpenAPI spec for Azure Log Analytics Query Packs?

Microsoft Azure does not publish a single consolidated OpenAPI specification for the microsoft.insights/queryPacks Resource Provider surface. Jentic generates and maintains this spec so that AI agents and developers can call Azure Log Analytics Query Packs via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.

What authentication does this API use?

The API uses Azure Active Directory OAuth 2.0; agents acquire a token for the https://management.azure.com/ resource and pass it as a Bearer token. Jentic stores the service principal credentials in its vault and injects scoped tokens at call time.

Does this API execute KQL queries?

No. Query Packs only store saved query metadata and bodies. To run a query you call the Log Analytics Query API at api.loganalytics.io/v1/workspaces/{workspaceId}/query (data plane) or the Application Insights query endpoint, passing the KQL body retrieved from the pack.

How do I search for queries in a Query Pack through Jentic?

Search Jentic for 'search queries inside a Query Pack', load the resulting POST operation on /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/microsoft.insights/queryPacks/{queryPackName}/queries/search, then execute it with a filter body that names the tags or related solutions you want.

What metadata can I attach to a saved query?

Each query supports displayName, description, body (the KQL), tags as a string-to-array map, related solutions, and related categories. These are returned by the GET on a single query and are used as filters in the search endpoint.

What are the rate limits for this API?

Azure Resource Manager applies subscription-level throttling — typically 12,000 reads and 1,200 writes per hour per subscription. There is no separate per-Query-Pack quota declared in the spec.

Microsoft Azure Azure Log Analytics Query Packs

Connect the Azure Log Analytics Query Packs to your agent

Capabilities

Start building with Azure Log Analytics Query Packs API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs