Microsoft Azure Azure Advisor Management Client

Name: Azure Advisor Management Client API
Brand: Azure Advisor Management Client
Availability: InStock

★ Only Publicly Available OpenAPI DocumentCloud InfrastructureComputeoauth215 EndpointsREST

For Agents

List Azure Advisor cost, performance, reliability, and security recommendations, suppress them per resource, and trigger fresh generation.

Install Jentic One Beta

Connect the Azure Advisor Management Client to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Azure Advisor Management Client, 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 Advisor Management Client API.

List Advisor recommendations filtered by category and resource scope

Trigger on-demand recommendation generation for a subscription

Suppress an Advisor recommendation on a specific resource for a fixed window

GET STARTED

Start building with Azure Advisor Management Client API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use Azure Advisor Management Client API for, with concrete tasks.

★ Automated Cost Optimisation Reviews

FinOps teams pull Advisor cost recommendations weekly to identify underutilised VMs, idle databases, and reserved instance opportunities. GET /subscriptions/{subscriptionId}/providers/Microsoft.Advisor/recommendations returns categorised recommendations with impact and savings estimates so the agent can rank them and feed the top items into a Jira backlog.

List Advisor cost recommendations for subscription 1111-2222-3333-4444, sort by impact, and emit the top 10 with resource id and estimated savings

Recommendation Noise Suppression

Operators suppress Advisor recommendations that do not apply to a specific resource (for example, a VM intentionally over-provisioned for burst). The Suppressions endpoints allow a per-resource, time-bounded suppression so the recommendation stops appearing in dashboards without disabling Advisor globally.

Create a 30-day suppression for recommendation rec-xyz on resource /subscriptions/1111/resourceGroups/prod/providers/Microsoft.Compute/virtualMachines/vm-prod-01

On-Demand Refresh Before a Review

Advisor refreshes recommendations on its own schedule, but teams running a quarterly architecture review want fresh data immediately. POST /subscriptions/{subscriptionId}/providers/Microsoft.Advisor/generateRecommendations queues a fresh run, and the matching GET endpoint returns its status so the workflow waits for completion before downloading.

Trigger Advisor recommendation generation, poll the status endpoint until it reports succeeded, then list the resulting recommendations

Agent-Driven Optimisation Loops

An AI agent running monthly optimisation can pull Advisor recommendations, file tickets for high-impact ones, and suppress the rest with reasons through Jentic. Intent search returns the recommendation list, suppression, and generation endpoints with their schemas; the Azure OAuth token is held in the credential vault so the agent never sees the service principal secret.

Search Jentic for 'list Azure Advisor recommendations', execute against the production subscription, and create issues for every high-impact security recommendation

Key Endpoints

15 endpoints — jentic publishes the only available openapi specification for azure advisor management client, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

GET

/subscriptions/{subscriptionId}/providers/Microsoft.Advisor/recommendations

List Advisor recommendations

POST

/subscriptions/{subscriptionId}/providers/Microsoft.Advisor/generateRecommendations

Generate Advisor recommendations

GET

/subscriptions/{subscriptionId}/providers/Microsoft.Advisor/generateRecommendations/{operationId}

Get generation status

GET

/subscriptions/{subscriptionId}/providers/Microsoft.Advisor/suppressions

List suppressions

GET

/subscriptions/{subscriptionId}/providers/Microsoft.Advisor/configurations

Read Advisor configurations

GET

/providers/Microsoft.Advisor/metadata

List Advisor metadata

GET

/subscriptions/{subscriptionId}/providers/Microsoft.Advisor/recommendations

List Advisor recommendations

POST

/subscriptions/{subscriptionId}/providers/Microsoft.Advisor/generateRecommendations

Generate Advisor recommendations

GET

/subscriptions/{subscriptionId}/providers/Microsoft.Advisor/generateRecommendations/{operationId}

Get generation status

GET

/subscriptions/{subscriptionId}/providers/Microsoft.Advisor/suppressions

List suppressions

GET

/subscriptions/{subscriptionId}/providers/Microsoft.Advisor/configurations

Read Advisor configurations

Why Jentic?

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

Credential isolation

Azure Active Directory OAuth 2.0 tokens are minted and rotated inside the Jentic vault (MAXsystem). Service principal client secrets stay encrypted; agents call Microsoft.Advisor with a short-lived scoped token only.

Intent-based discovery

Agents search by intent (e.g., 'list Azure Advisor recommendations') and Jentic returns the matching Advisor operation with its input schema, so the agent does not need to know the long Microsoft.Advisor path layout.

Time to first call

Direct ARM integration: 1-3 days for AAD app registration, token acquisition, retry/throttling, and pagination. Through Jentic: under 1 hour — search, load schema, execute.

FAQs

Specific to using Azure Advisor Management Client API through Jentic.

Why is there no official OpenAPI spec for Azure Advisor Management Client?

Microsoft Azure does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Azure Advisor Management Client 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 the Azure Advisor API use?

The API uses Azure Active Directory OAuth 2.0 bearer tokens (the azure_auth scheme) on management.azure.com. Through Jentic, the AAD app secret is stored in the MAXsystem vault and exchanged for a short-lived bearer token per call.

Can I trigger a fresh Advisor scan from the API?

Yes. Call POST /subscriptions/{subscriptionId}/providers/Microsoft.Advisor/generateRecommendations to queue a fresh run, then poll GET /subscriptions/{subscriptionId}/providers/Microsoft.Advisor/generateRecommendations/{operationId} until status is 'succeeded' before listing recommendations.

How do I hide an Advisor recommendation that does not apply to a resource?

Create a suppression against the resource via the Suppressions endpoints with a TTL. The recommendation stops appearing in /recommendations responses for the duration without disabling Advisor for the rest of the subscription.

What are the rate limits for the Azure Advisor API?

Azure Resource Manager applies subscription-level throttling. Recommendation list calls are typically polled per minute or less; if you receive HTTP 429, back off using the Retry-After header. The generateRecommendations endpoint is rate-limited more strictly because it triggers a backend run.

How do I file Jira tickets for top Advisor recommendations through Jentic?

Run pip install jentic, then search Jentic with 'list Azure Advisor recommendations'. Load the recommendations endpoint, execute against your subscription, and pipe the result into a Jentic search for 'create a Jira issue'. Both calls are credentialed via the vault, so the agent never holds raw secrets.