Azure Log Analytics

Azure Log Analytics is a service that helps you collect and analyze data generated by resources in your cloud and on-premises environments, providing query, management, and data collection APIs for monitoring and analytics.

Azure Log Analytics is listed with 5 APIs on the APIs.io network, including Ingestion API, Query API, Saved Searches API, and 2 more. Tagged areas include Analytics, Microsoft Azure, Cloud, Logging, and Monitoring.

The Azure Log Analytics catalog on APIs.io includes 4 JSON-LD contexts and 3 Spectral governance rulesets.

Azure Log Analytics’ developer surface includes engineering blog, authentication, developer portal, documentation, getting-started guide, pricing, support, and 62 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

67.6/100 exemplar ▬ flat Agent 35/100 agent ready open core · MIT Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

5 APIs 1 MCP Servers 10 Features 6 Use Cases

Analytics Microsoft Azure Cloud Logging Monitoring

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 67.6/100 · exemplar

Contract Quality 5.0 / 16

Developer Ergonomics 10.4 / 13

Access Clarity 9.9 / 13

Operational Transparency 4.4 / 8

Contract Governance 2.5 / 8

Discoverability 5.1 / 7

Regulatory Posture 6.8 / 15

Open Source Surface 10.0 / 10

Create-or-Update Ergonomics 2.2 / 10

Agent readiness — 35/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 65 points between them, because both conditional facets apply and carry 35 points together. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 65% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks
Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too

6 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 30.5 — up to +17.4 composite points
Contract Governance scores 31.8 — up to +8.2 composite points
Operational Transparency scores 52.6 — up to +6.2 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/azure-log-analytics/apis.yml: open an issue on github.com/api-evangelist/azure-log-analytics to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 3

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

OpenAPI

measured — observed by APIs.io (published)

OAuth 2.0

measured — observed by APIs.io (declared)

APIs 5

Individual APIs this provider publishes, each with its own machine-readable definition.

Azure Log Analytics Ingestion API

Send log data to Log Analytics workspaces

Azure Log Analytics Query API

Execute KQL queries against Log Analytics workspaces

Azure Log Analytics Saved Searches API

Manage saved KQL queries

Azure Log Analytics Tables API

Manage workspace tables

Azure Log Analytics Workspaces API

Manage Log Analytics workspaces

Postman Collections 3

Ready-to-run Postman collections for exercising this provider's APIs.

Azure Log Analytics Ingestion API

POSTMAN

Azure Log Analytics Management API

POSTMAN

Azure Log Analytics Query API

POSTMAN

Open Collections 5

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Azure Log Analytics Ingestion API

OPEN COLLECTION

Azure Log Analytics Ingestion Query API

OPEN COLLECTION

Azure Log Analytics Ingestion Saved Searches API

OPEN COLLECTION

Azure Log Analytics Ingestion Tables API

OPEN COLLECTION

Azure Log Analytics Ingestion Workspaces API

OPEN COLLECTION

Arazzo Workflows 14

Multi-step API workflows described with the Arazzo specification.

Azure Log Analytics Audit and Clean Up a Saved Search

List saved searches, inspect one, then delete it if it is uncategorized.

ARAZZO

Azure Log Analytics Create Workspace and Baseline Custom Table

Create a workspace, add a baseline custom table, then read the table back.

ARAZZO

Azure Log Analytics Cross-Workspace Query

Discover subscription workspaces, then run one KQL query spanning several of them.

ARAZZO

Azure Log Analytics Discover and Query Workspace

Find a workspace in a subscription, confirm it, then run a KQL query against it.

ARAZZO

Azure Log Analytics Ingest Logs and Verify

Confirm a target table exists, upload logs via a DCR, then query to verify.

ARAZZO

Azure Log Analytics Browse Saved Searches and Run One

List a workspace's saved searches, fetch one's KQL, then execute it.

ARAZZO

Azure Log Analytics Inspect Table Schema then Query

List a workspace's tables, inspect one table's schema, then query that table.

ARAZZO

Azure Log Analytics Validate then Save a KQL Query

Run a KQL query to validate it, then persist it as a saved search.

ARAZZO

Azure Log Analytics Provision Custom Table then Ingest and Verify

Create a custom table, upload logs through a DCR, then query the table to verify.

ARAZZO

Azure Log Analytics Query Workspace by Name (GET)

Confirm a workspace exists, then run a KQL query via the GET query endpoint.

ARAZZO

Azure Log Analytics Resolve Workspace by Resource Group and Run KQL

Narrow workspaces to a resource group, resolve one, then run a KQL query.

ARAZZO

Azure Log Analytics Run a Saved Search

Fetch a saved search's KQL definition, then execute it against the workspace.

ARAZZO

Azure Log Analytics Update Workspace Retention and Verify

Read a workspace's current retention, patch it, then read it back to confirm.

ARAZZO

Azure Log Analytics Workspace Inventory Report

Resolve a workspace, then list its tables and its saved searches together.

ARAZZO

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MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Azure MCP Server (Azure Monitor tools)

MCP SERVER

Azure Log Analytics API pricing

Prices published by Azure Log Analytics, read 2026-10-28 from azure.microsoft.com/en-us/pricing/details/monitor/.

Plan	Price
Legacy Standard pricing tier	$2.3 per GB Includes: Retention period 1 month; Daily limit None
Legacy Premium pricing tier	$3.5 per GB Includes: Retention period 12 months; Daily limit None

Plan details, limits and sources →

Rate limits

Logs Ingestion API - data per minute per DCR: 2 GB per minute
Logs Ingestion API - requests per minute per DCR: 12000 requests per minute
Logs Ingestion API - max API call size: 1 MB

Compiled by API Evangelist, not yet checked against Azure Log Analytics's documentation. All 19 limits →

Billed by: gb · FinOps profile →

Pricing Plans 1

Published pricing tiers and plan structures.

Azure Log Analytics Plans Pricing

2 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Azure Log Analytics Rate Limits

19 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Azure Log Analytics

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Azure Log Analytics Finops

FINOPS

Features 10

Notable capabilities this provider offers.

Kusto Query Language

Full KQL query language support for complex log analytics and data exploration across cloud and on-premises resources.

Custom Log Ingestion

Send custom log data from any source using the Logs Ingestion API with data collection rules and transformations.

Workspace Management

Create, configure, and manage Log Analytics workspaces including data sources, retention policies, and access control.

Saved Searches

Save and reuse KQL queries across workspace sessions for consistent monitoring and reporting.

Data Collection Rules

Define data collection pipelines with transformations that shape incoming data before it reaches the workspace.

Cross-Workspace Queries

Query data across multiple Log Analytics workspaces in a single query for centralized analysis.

Simple Mode Queries

Point-and-click spreadsheet-like query experience for users who do not need full KQL knowledge.

Alert Rule Integration

Create alert rules directly from log queries to enable proactive monitoring and automated responses.

Workspace Failover

Activate and deactivate failover for workspace disaster recovery and high availability.

Data Export

Export query results to Excel, CSV, Power BI, and Grafana dashboards for external analysis.

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Semantic Vocabularies 4

JSON-LD contexts and semantic vocabularies used across these APIs.

Azure Log Analytics Context

24 classes · 62 properties

JSON-LD

Azure Log Analytics Ingestion Api Context

3 classes · 10 properties

JSON-LD

Azure Log Analytics Management Api Context

5 classes · 20 properties

JSON-LD

Azure Log Analytics Query Api Context

6 classes · 11 properties

JSON-LD

Spectral Rules 3

Spectral governance rulesets for linting and validating these APIs.

Azure Log Analytics — jsonschema rules

5 rules · 3 warnings 2 info

SPECTRAL

Azure Log Analytics API Rules

76 rules · 69 errors 3 warnings 4 info

SPECTRAL

Azure Log Analytics API Rules

45 rules · 20 errors 15 warnings 10 info

SPECTRAL

JSON Schema 5

Standalone JSON Schema definitions for this provider's data models.

LogEntry

3 properties

JSON SCHEMA

SavedSearch

5 properties

JSON SCHEMA

Workspace

7 properties

JSON SCHEMA

QueryBody

3 properties

JSON SCHEMA

QueryResults

2 properties

JSON SCHEMA

JSON Structure 5

JSON Structure definitions describing this provider's data shapes.

Ingestion Api Log Entry Structure

3 properties

JSON STRUCTURE

Management Api Saved Search Structure

5 properties

JSON STRUCTURE

Management Api Workspace Structure

7 properties

JSON STRUCTURE

Query Api Query Body Structure

3 properties

JSON STRUCTURE

Query Api Query Results Structure

2 properties

JSON STRUCTURE

Examples 5

Example request and response payloads for these APIs.

Ingestion Api Log Entry Example

3 fields

EXAMPLE

Management Api Saved Search Example

5 fields

EXAMPLE

Management Api Workspace Example

6 fields

EXAMPLE

Query Api Query Body Example

3 fields

EXAMPLE

Query Api Query Results Example

1 fields

EXAMPLE

Security Posture 4

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Azure Log Analytics Authentication

apiKey/http/oauth2 · 3 schemes

SECURITY

Azure Log Analytics Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Azure Log Analytics Vulnerability Disclosure

security.txt · contact published

SECURITY

Azure Log Analytics Trust Center

GDPR

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Azure Log Analytics Scopes

1 scope · implicit

1 scopes

SCOPES

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Azure Log Analytics Agentic Access

17 operations · 9 acting

AGENTIC

Use Cases 6

What developers build with this provider.

Infrastructure Monitoring

Collect and analyze logs from virtual machines, containers, and network resources to monitor infrastructure health.

Security Investigation

Query security events and audit logs to investigate incidents and detect threats across Azure resources.

Application Performance Monitoring

Analyze application logs and telemetry to identify performance bottlenecks and errors.

Compliance Auditing

Collect and retain audit logs to meet regulatory compliance requirements and generate compliance reports.

Custom Data Integration

Ingest custom log data from third-party systems and on-premises resources using the Logs Ingestion API.

Cost Optimization

Analyze resource usage patterns and log data to identify cost-saving opportunities across Azure deployments.

Integrations 10

Pre-built integrations with other platforms and tools.

Azure Monitor

Core integration with Azure Monitor for unified observability across metrics, logs, and traces.

Microsoft Sentinel

Feed log data into Microsoft Sentinel for SIEM and SOAR capabilities.

Azure Data Explorer

Built on Azure Data Explorer engine, supports the same KQL query language for advanced analytics.

Power BI

Export and visualize log query results in Power BI dashboards for business intelligence reporting.

Grafana

Connect Azure Monitor Logs as a data source in managed Grafana dashboards for visualization.

Azure Workbooks

Create interactive visual reports using log query results within Azure Workbooks.

Azure Automation

Trigger automation runbooks based on log query results and alert rules.

Azure Logic Apps

Integrate log analytics alerts with Logic Apps workflows for automated incident response.

Application Insights

Combine application telemetry from Application Insights with infrastructure logs for full-stack observability.

Azure Resource Manager

Manage Log Analytics resources programmatically through Azure Resource Manager REST APIs.

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Resources

Get Started 2

Portal, sign-up, and the first successful call

Portal

Portal

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

ContributionGuide

ContributionGuide

Documentation

Documentation

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

MCPServer

WellKnown

AgenticAccess

Design & Contract 24

Pagination, idempotency, versioning, errors, and events

Spectral

Spectral

Spectral

JSONLD

Vocabulary

DataModel

ErrorCatalog

Conformance

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

SpectralRules

Vocabulary

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Build 12

SDKs, sample code, and the tooling you integrate with

ToolCrosswalk

Packages

CodeOfConduct

PostmanWorkspace

GitHubOrganization

GitHubRepository

CLI

Python SDK

JavaScript SDK

Go SDK

.NET SDK

Java SDK

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Access & Security 8

Authentication, authorization, and security posture

Compliance

Compliance

SecurityTxt

SecurityTxt

TrustCenter

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

SecurityPolicy

DomainSecurity

Authentication

OAuthScopes

Scroll for all 8

Operate 6

Status, limits, changes, and where to get help

RateLimits

IssueTracker

Releases

StatusPage

Support

RateLimits

Commercial 6

Pricing, plans, and the legal terms of use

Plans

FinOps

License

Pricing

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Blog

Blog

Website

Website

Other 3

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Leadership

Leadership

Source (apis.yml)

aid: azure-log-analytics
name: Azure Log Analytics
description: Azure Log Analytics is a service that helps you collect and analyze data generated by resources in your cloud
  and on-premises environments, providing query, management, and data collection APIs for monitoring and analytics.
type: Index
deliveryModel:
  model: open-core
  license: MIT
  open_source: true
  commercial: true
  callable_host: false
  label: Open core · an OSS project plus a commercial hosted product
  confidence: high
  source:
  - license
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/azure-log-analytics.png
tags:
- Analytics
- Microsoft Azure
- Cloud
- Logging
- Monitoring
tags_raw:
- Analytics
- Azure
- Cloud
- Logging
- Monitoring
url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/log-analytics-overview
created: '2024-01-01'
modified: '2026-05-19'
specificationVersion: '0.23'
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
common:
- type: RateLimits
  url: rate-limits/azure-log-analytics-rate-limits.yml
- type: Spectral
  url: rules/azure-log-analytics-spectral-rules.yml
- type: Spectral
  url: rules/azure-log-analytics-rules.yml
- type: Spectral
  url: rules/azure-log-analytics-jsonschema-spectral-rules.yml
- type: JSONLD
  url: json-ld/azure-log-analytics-context.jsonld
- type: Vocabulary
  url: vocabulary/azure-log-analytics-vocabulary.yml
- type: DataModel
  url: data-model/azure-log-analytics-data-model.yml
- type: Compliance
  url: https://www.microsoft.com/en-us/trust-center
- type: ErrorCatalog
  url: errors/azure-log-analytics-problem-types.yml
- type: Conformance
  url: conformance/azure-log-analytics-conformance.yml
- type: LLMsTxt
  url: llms/azure-log-analytics-llms.txt
- type: ToolCrosswalk
  url: mcp/azure-log-analytics-tool-crosswalk.yml
- type: MCPServer
  url: mcp/azure-log-analytics-mcp.yml
- type: SecurityTxt
  url: well-known/azure-log-analytics-security.txt
- type: WellKnown
  url: well-known/azure-log-analytics-well-known.yml
- type: Hosts
  url: hosts/azure-log-analytics-hosts.yml
- type: Vendors
  url: vendors/azure-log-analytics-vendors.yml
- type: Packages
  url: packages/azure-log-analytics-packages.yml
- type: Leadership
  url: https://news.microsoft.com/leadership
- type: Blog
  url: https://techcommunity.microsoft.com/category/azure/blog/analyticsonazure
- type: TrustCenter
  url: security/azure-log-analytics-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/azure-log-analytics-vulnerability-disclosure.yml
- type: Plans
  url: plans/azure-log-analytics-plans-pricing.yml
- type: FinOps
  url: finops/azure-log-analytics-finops.yml
- type: Website
  url: https://www.microsoft.com/
- type: IssueTracker
  url: https://github.com/Azure/azure-rest-api-specs/issues
- type: Releases
  url: https://github.com/Azure/azure-rest-api-specs/releases
- type: SecurityPolicy
  url: https://github.com/Azure/azure-rest-api-specs/blob/main/SECURITY.md
- type: CodeOfConduct
  url: https://github.com/Azure/.github/blob/main/CODE_OF_CONDUCT.md
- type: ContributionGuide
  url: https://github.com/Azure/azure-rest-api-specs/blob/main/.github/CONTRIBUTING.md
- type: License
  name: MIT
  url: https://github.com/Azure/azure-rest-api-specs/blob/main/LICENSE
- type: AgenticAccess
  url: agentic-access/azure-log-analytics-agentic-access.yml
- type: DomainSecurity
  url: security/azure-log-analytics-domain-security.yml
- type: Authentication
  url: authentication/azure-log-analytics-authentication.yml
- type: OAuthScopes
  url: scopes/azure-log-analytics-scopes.yml
- type: PostmanWorkspace
  url: https://www.postman.com/kinlaneapi/azure-log-analytics/overview
- type: Arazzo
  url: arazzo/azure-log-analytics-audit-and-cleanup-saved-search-workflow.yml
  name: Azure Log Analytics Audit and Clean Up a Saved Search
- type: Arazzo
  url: arazzo/azure-log-analytics-create-workspace-and-baseline-table-workflow.yml
  name: Azure Log Analytics Create Workspace and Baseline Custom Table
- type: Arazzo
  url: arazzo/azure-log-analytics-cross-workspace-query-workflow.yml
  name: Azure Log Analytics Cross-Workspace Query
- type: Arazzo
  url: arazzo/azure-log-analytics-discover-and-query-workspace-workflow.yml
  name: Azure Log Analytics Discover and Query Workspace
- type: Arazzo
  url: arazzo/azure-log-analytics-ingest-and-verify-workflow.yml
  name: Azure Log Analytics Ingest Logs and Verify
- type: Arazzo
  url: arazzo/azure-log-analytics-list-saved-searches-and-run-workflow.yml
  name: Azure Log Analytics Browse Saved Searches and Run One
- type: Arazzo
  url: arazzo/azure-log-analytics-list-tables-then-query-workflow.yml
  name: Azure Log Analytics Inspect Table Schema then Query
- type: Arazzo
  url: arazzo/azure-log-analytics-promote-query-to-saved-search-workflow.yml
  name: Azure Log Analytics Validate then Save a KQL Query
- type: Arazzo
  url: arazzo/azure-log-analytics-provision-table-and-ingest-workflow.yml
  name: Azure Log Analytics Provision Custom Table then Ingest and Verify
- type: Arazzo
  url: arazzo/azure-log-analytics-query-workspace-by-name-workflow.yml
  name: Azure Log Analytics Query Workspace by Name (GET)
- type: Arazzo
  url: arazzo/azure-log-analytics-resolve-workspace-and-run-kql-workflow.yml
  name: Azure Log Analytics Resolve Workspace by Resource Group and Run KQL
- type: Arazzo
  url: arazzo/azure-log-analytics-saved-search-to-query-workflow.yml
  name: Azure Log Analytics Run a Saved Search
- type: Arazzo
  url: arazzo/azure-log-analytics-update-workspace-retention-workflow.yml
  name: Azure Log Analytics Update Workspace Retention and Verify
- type: Arazzo
  url: arazzo/azure-log-analytics-workspace-inventory-report-workflow.yml
  name: Azure Log Analytics Workspace Inventory Report
- type: Portal
  url: https://portal.azure.com/
- type: Documentation
  url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/log-analytics-overview
- type: GettingStarted
  url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/log-analytics-tutorial
- type: Pricing
  url: https://azure.microsoft.com/en-us/pricing/details/monitor/
- type: StatusPage
  url: https://status.azure.com/
- type: Support
  url: https://azure.microsoft.com/en-us/support/
- type: TermsOfService
  url: https://azure.microsoft.com/en-us/support/legal/
- type: PrivacyPolicy
  url: https://privacy.microsoft.com/en-us/privacystatement
- type: GitHubOrganization
  url: https://github.com/Azure
- type: GitHubRepository
  url: https://github.com/Azure/azure-rest-api-specs
- type: CLI
  url: https://learn.microsoft.com/en-us/cli/azure/monitor/log-analytics
- type: SDKs
  url: https://pypi.org/project/azure-monitor-query/
  title: Python SDK
- type: SDKs
  url: https://www.npmjs.com/package/@azure/monitor-query
  title: JavaScript SDK
- type: SDKs
  url: https://pkg.go.dev/github.com/Azure/azure-sdk-for-go/sdk/monitor/query/azlogs
  title: Go SDK
- type: SDKs
  url: https://learn.microsoft.com/en-us/dotnet/api/overview/azure/Monitor.Query-readme
  title: .NET SDK
- type: SDKs
  url: https://learn.microsoft.com/en-us/java/api/overview/azure/monitor-query-readme
  title: Java SDK
- type: RateLimits
  url: https://learn.microsoft.com/en-us/azure/azure-monitor/service-limits#query-api
- type: SpectralRules
  url: rules/azure-log-analytics-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/azure-log-analytics-vocabulary.yaml
- type: Features
  data:
  - name: Kusto Query Language
    description: Full KQL query language support for complex log analytics and data exploration across cloud and on-premises
      resources.
  - name: Custom Log Ingestion
    description: Send custom log data from any source using the Logs Ingestion API with data collection rules and transformations.
  - name: Workspace Management
    description: Create, configure, and manage Log Analytics workspaces including data sources, retention policies, and access
      control.
  - name: Saved Searches
    description: Save and reuse KQL queries across workspace sessions for consistent monitoring and reporting.
  - name: Data Collection Rules
    description: Define data collection pipelines with transformations that shape incoming data before it reaches the workspace.
  - name: Cross-Workspace Queries
    description: Query data across multiple Log Analytics workspaces in a single query for centralized analysis.
  - name: Simple Mode Queries
    description: Point-and-click spreadsheet-like query experience for users who do not need full KQL knowledge.
  - name: Alert Rule Integration
    description: Create alert rules directly from log queries to enable proactive monitoring and automated responses.
  - name: Workspace Failover
    description: Activate and deactivate failover for workspace disaster recovery and high availability.
  - name: Data Export
    description: Export query results to Excel, CSV, Power BI, and Grafana dashboards for external analysis.
- type: UseCases
  data:
  - name: Infrastructure Monitoring
    description: Collect and analyze logs from virtual machines, containers, and network resources to monitor infrastructure
      health.
  - name: Security Investigation
    description: Query security events and audit logs to investigate incidents and detect threats across Azure resources.
  - name: Application Performance Monitoring
    description: Analyze application logs and telemetry to identify performance bottlenecks and errors.
  - name: Compliance Auditing
    description: Collect and retain audit logs to meet regulatory compliance requirements and generate compliance reports.
  - name: Custom Data Integration
    description: Ingest custom log data from third-party systems and on-premises resources using the Logs Ingestion API.
  - name: Cost Optimization
    description: Analyze resource usage patterns and log data to identify cost-saving opportunities across Azure deployments.
- type: Integrations
  data:
  - name: Azure Monitor
    description: Core integration with Azure Monitor for unified observability across metrics, logs, and traces.
  - name: Microsoft Sentinel
    description: Feed log data into Microsoft Sentinel for SIEM and SOAR capabilities.
  - name: Azure Data Explorer
    description: Built on Azure Data Explorer engine, supports the same KQL query language for advanced analytics.
  - name: Power BI
    description: Export and visualize log query results in Power BI dashboards for business intelligence reporting.
  - name: Grafana
    description: Connect Azure Monitor Logs as a data source in managed Grafana dashboards for visualization.
  - name: Azure Workbooks
    description: Create interactive visual reports using log query results within Azure Workbooks.
  - name: Azure Automation
    description: Trigger automation runbooks based on log query results and alert rules.
  - name: Azure Logic Apps
    description: Integrate log analytics alerts with Logic Apps workflows for automated incident response.
  - name: Application Insights
    description: Combine application telemetry from Application Insights with infrastructure logs for full-stack observability.
  - name: Azure Resource Manager
    description: Manage Log Analytics resources programmatically through Azure Resource Manager REST APIs.
apis:
- aid: azure-log-analytics:azure-log-analytics-ingestion-api
  name: Azure Log Analytics Ingestion API
  description: Send log data to Log Analytics workspaces
  humanURL: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/overview
  baseURL: https://api.loganalytics.azure.com/v1
  tags:
  - Ingestion
  properties:
  - type: OpenAPI
    url: openapi/azure-log-analytics-ingestion-api-openapi.yml
  - type: Documentation
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/overview
  - type: APIReference
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/request-format
  - type: Authentication
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/access-api
  - type: GettingStarted
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/log-analytics-tutorial
  - type: JSONSchema
    url: json-schema/query-api-query-body-schema.json
  - type: JSONSchema
    url: json-schema/query-api-query-results-schema.json
  - type: JSONLD
    url: json-ld/azure-log-analytics-query-api-context.jsonld
  - type: Examples
    url: examples/query-api-query-body-example.json
  - type: Examples
    url: examples/query-api-query-results-example.json
  - type: Documentation
    url: https://learn.microsoft.com/en-us/rest/api/loganalytics/
  - type: APIReference
    url: https://learn.microsoft.com/en-us/rest/api/loganalytics/workspaces
  - type: JSONSchema
    url: json-schema/management-api-workspace-schema.json
  - type: JSONSchema
    url: json-schema/management-api-saved-search-schema.json
  - type: JSONLD
    url: json-ld/azure-log-analytics-management-api-context.jsonld
  - type: Examples
    url: examples/management-api-workspace-example.json
  - type: Examples
    url: examples/management-api-saved-search-example.json
  - type: Documentation
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/logs-ingestion-api-overview
  - type: GettingStarted
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/tutorial-logs-ingestion-code
  - type: Authentication
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/logs-ingestion-api-overview#configuration
  - type: JSONSchema
    url: json-schema/ingestion-api-log-entry-schema.json
  - type: JSONLD
    url: json-ld/azure-log-analytics-ingestion-api-context.jsonld
  - type: Examples
    url: examples/ingestion-api-log-entry-example.json
- aid: azure-log-analytics:azure-log-analytics-query-api
  name: Azure Log Analytics Query API
  description: Execute KQL queries against Log Analytics workspaces
  humanURL: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/overview
  baseURL: https://api.loganalytics.azure.com/v1
  tags:
  - Query
  properties:
  - type: OpenAPI
    url: openapi/azure-log-analytics-query-api-openapi.yml
  - type: Documentation
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/overview
  - type: APIReference
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/request-format
  - type: Authentication
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/access-api
  - type: GettingStarted
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/log-analytics-tutorial
  - type: JSONSchema
    url: json-schema/query-api-query-body-schema.json
  - type: JSONSchema
    url: json-schema/query-api-query-results-schema.json
  - type: JSONLD
    url: json-ld/azure-log-analytics-query-api-context.jsonld
  - type: Examples
    url: examples/query-api-query-body-example.json
  - type: Examples
    url: examples/query-api-query-results-example.json
  - type: Documentation
    url: https://learn.microsoft.com/en-us/rest/api/loganalytics/
  - type: APIReference
    url: https://learn.microsoft.com/en-us/rest/api/loganalytics/workspaces
  - type: JSONSchema
    url: json-schema/management-api-workspace-schema.json
  - type: JSONSchema
    url: json-schema/management-api-saved-search-schema.json
  - type: JSONLD
    url: json-ld/azure-log-analytics-management-api-context.jsonld
  - type: Examples
    url: examples/management-api-workspace-example.json
  - type: Examples
    url: examples/management-api-saved-search-example.json
  - type: Documentation
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/logs-ingestion-api-overview
  - type: GettingStarted
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/tutorial-logs-ingestion-code
  - type: Authentication
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/logs-ingestion-api-overview#configuration
  - type: JSONSchema
    url: json-schema/ingestion-api-log-entry-schema.json
  - type: JSONLD
    url: json-ld/azure-log-analytics-ingestion-api-context.jsonld
  - type: Examples
    url: examples/ingestion-api-log-entry-example.json
- aid: azure-log-analytics:azure-log-analytics-saved-searches-api
  name: Azure Log Analytics Saved Searches API
  description: Manage saved KQL queries
  humanURL: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/overview
  baseURL: https://api.loganalytics.azure.com/v1
  tags:
  - Saved Searches
  properties:
  - type: OpenAPI
    url: openapi/azure-log-analytics-saved-searches-api-openapi.yml
  - type: Documentation
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/overview
  - type: APIReference
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/request-format
  - type: Authentication
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/access-api
  - type: GettingStarted
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/log-analytics-tutorial
  - type: JSONSchema
    url: json-schema/query-api-query-body-schema.json
  - type: JSONSchema
    url: json-schema/query-api-query-results-schema.json
  - type: JSONLD
    url: json-ld/azure-log-analytics-query-api-context.jsonld
  - type: Examples
    url: examples/query-api-query-body-example.json
  - type: Examples
    url: examples/query-api-query-results-example.json
  - type: Documentation
    url: https://learn.microsoft.com/en-us/rest/api/loganalytics/
  - type: APIReference
    url: https://learn.microsoft.com/en-us/rest/api/loganalytics/workspaces
  - type: JSONSchema
    url: json-schema/management-api-workspace-schema.json
  - type: JSONSchema
    url: json-schema/management-api-saved-search-schema.json
  - type: JSONLD
    url: json-ld/azure-log-analytics-management-api-context.jsonld
  - type: Examples
    url: examples/management-api-workspace-example.json
  - type: Examples
    url: examples/management-api-saved-search-example.json
  - type: Documentation
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/logs-ingestion-api-overview
  - type: GettingStarted
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/tutorial-logs-ingestion-code
  - type: Authentication
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/logs-ingestion-api-overview#configuration
  - type: JSONSchema
    url: json-schema/ingestion-api-log-entry-schema.json
  - type: JSONLD
    url: json-ld/azure-log-analytics-ingestion-api-context.jsonld
  - type: Examples
    url: examples/ingestion-api-log-entry-example.json
- aid: azure-log-analytics:azure-log-analytics-tables-api
  name: Azure Log Analytics Tables API
  description: Manage workspace tables
  humanURL: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/overview
  baseURL: https://api.loganalytics.azure.com/v1
  tags:
  - Tables
  properties:
  - type: OpenAPI
    url: openapi/azure-log-analytics-tables-api-openapi.yml
  - type: Documentation
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/overview
  - type: APIReference
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/request-format
  - type: Authentication
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/access-api
  - type: GettingStarted
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/log-analytics-tutorial
  - type: JSONSchema
    url: json-schema/query-api-query-body-schema.json
  - type: JSONSchema
    url: json-schema/query-api-query-results-schema.json
  - type: JSONLD
    url: json-ld/azure-log-analytics-query-api-context.jsonld
  - type: Examples
    url: examples/query-api-query-body-example.json
  - type: Examples
    url: examples/query-api-query-results-example.json
  - type: Documentation
    url: https://learn.microsoft.com/en-us/rest/api/loganalytics/
  - type: APIReference
    url: https://learn.microsoft.com/en-us/rest/api/loganalytics/workspaces
  - type: JSONSchema
    url: json-schema/management-api-workspace-schema.json
  - type: JSONSchema
    url: json-schema/management-api-saved-search-schema.json
  - type: JSONLD
    url: json-ld/azure-log-analytics-management-api-context.jsonld
  - type: Examples
    url: examples/management-api-workspace-example.json
  - type: Examples
    url: examples/management-api-saved-search-example.json
  - type: Documentation
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/logs-ingestion-api-overview
  - type: GettingStarted
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/tutorial-logs-ingestion-code
  - type: Authentication
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/logs-ingestion-api-overview#configuration
  - type: JSONSchema
    url: json-schema/ingestion-api-log-entry-schema.json
  - type: JSONLD
    url: json-ld/azure-log-analytics-ingestion-api-context.jsonld
  - type: Examples
    url: examples/ingestion-api-log-entry-example.json
- aid: azure-log-analytics:azure-log-analytics-workspaces-api
  name: Azure Log Analytics Workspaces API
  description: Manage Log Analytics workspaces
  humanURL: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/overview
  baseURL: https://api.loganalytics.azure.com/v1
  tags:
  - Workspace
  tags_raw:
  - Workspaces
  properties:
  - type: OpenAPI
    url: openapi/azure-log-analytics-workspaces-api-openapi.yml
  - type: Documentation
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/overview
  - type: APIReference
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/request-format
  - type: Authentication
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/api/access-api
  - type: GettingStarted
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/log-analytics-tutorial
  - type: JSONSchema
    url: json-schema/query-api-query-body-schema.json
  - type: JSONSchema
    url: json-schema/query-api-query-results-schema.json
  - type: JSONLD
    url: json-ld/azure-log-analytics-query-api-context.jsonld
  - type: Examples
    url: examples/query-api-query-body-example.json
  - type: Examples
    url: examples/query-api-query-results-example.json
  - type: Documentation
    url: https://learn.microsoft.com/en-us/rest/api/loganalytics/
  - type: APIReference
    url: https://learn.microsoft.com/en-us/rest/api/loganalytics/workspaces
  - type: JSONSchema
    url: json-schema/management-api-workspace-schema.json
  - type: JSONSchema
    url: json-schema/management-api-saved-search-schema.json
  - type: JSONLD
    url: json-ld/azure-log-analytics-management-api-context.jsonld
  - type: Examples
    url: examples/management-api-workspace-example.json
  - type: Examples
    url: examples/management-api-saved-search-example.json
  - type: Documentation
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/logs-ingestion-api-overview
  - type: GettingStarted
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/tutorial-logs-ingestion-code
  - type: Authentication
    url: https://learn.microsoft.com/en-us/azure/azure-monitor/logs/logs-ingestion-api-overview#configuration
  - type: JSONSchema
    url: json-schema/ingestion-api-log-entry-schema.json
  - type: JSONLD
    url: json-ld/azure-log-analytics-ingestion-api-context.jsonld
  - type: Examples
    url: examples/ingestion-api-log-entry-example.json
x-parent: microsoft-azure
x-relationship: product
x-enrichment:
  date: '2026-11-04'
  status: enriched
  artifacts_added: 3
  pass: local-v6

Azure Log Analytics API — frequently asked questions

Does Azure Log Analytics have an API?

Yes. APIs.io lists 5 APIs from Azure Log Analytics, including Azure Log Analytics Ingestion API, Azure Log Analytics Query API and Azure Log Analytics Saved Searches API, and 2 more.

Is there an OpenAPI specification for the Azure Log Analytics API?

Yes. APIs.io indexes 5 OpenAPI specifications for Azure Log Analytics, each linked for download from this page.

How do I authenticate with the Azure Log Analytics API?

Azure Log Analytics uses bearer-token authentication (apiKey/http/oauth2 · 3 schemes). The details are profiled on APIs.io as Azure Log Analytics Authentication.

How much does the Azure Log Analytics API cost?

Azure Log Analytics publishes its prices; its Legacy Standard pricing tier plan is $2.3 per GB as of 2026-10-28. APIs.io lists 2 pricing plans for Azure Log Analytics, with each plan's price, limits and inclusions under Pricing on this page.

Does Azure Log Analytics have an MCP server?

Yes. APIs.io lists 1 MCP server for Azure Log Analytics.

Is the Azure Log Analytics API ready for AI agents?

Azure Log Analytics has a Kin Score of 67.6 out of 100 (exemplar) and an Agent Readiness score of 35.4 (agent-ready), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

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https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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Call it yourself

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How their score was established

curl "https://apis.io/api/v1/providers/azure-log-analytics/evidence"

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