Microsoft Azure Recommendations API Client

Name: Recommendations API Client API
Brand: Recommendations API Client
Availability: InStock

★ Only Publicly Available OpenAPI DocumentCloud InfrastructureComputeoauth215 Endpoints

Install Jentic One Beta

Connect the Recommendations API Client to your agent

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

List active recommendations across a subscription

Read recommendation history for a specific App Service site or environment

Get a single recommendation by name with its remediation guidance

GET STARTED

Start building with Recommendations API Client API

Explore with Jentic

View OpenAPI Document

For Agents

Read, reset, and disable Azure App Service performance and reliability recommendations across subscriptions, hosting environments, and individual sites.

Use for: List the active recommendations on a specific App Service site, Read the recommendation history for an App Service hosting environment, Disable a recommendation that has already been actioned, Reset all recommendations on a subscription

Not supported: Does not change site configuration, scale plans, or remediate issues automatically — use for reading and managing the lifecycle of Microsoft.Web recommendations only.

Jentic publishes the only available OpenAPI specification for Recommendations API Client, keeping it validated and agent-ready. The API exposes the Microsoft.Web Recommendations resource — performance, scaling, and reliability suggestions that Azure App Service generates for sites and hosting environments. It covers reading current and historical recommendations, listing them at subscription, hosting environment, or site scope, and resetting or disabling individual recommendations after they have been actioned.

Use Cases

Patterns agents use Recommendations API Client API for, with concrete tasks.

★ Operational health review

Site reliability teams review Azure App Service recommendations during operational reviews to surface scaling issues, deprecated configurations, and performance regressions. The API lists active recommendations with their severity and guidance so the review board can prioritise remediation work.

List active recommendations for site 'web-prod' in resource group 'web-rg' filtered to high-severity entries

Recommendation lifecycle management

Once a recommendation has been actioned or formally accepted as known, it should not keep firing in dashboards and alerts. The API exposes per-recommendation disable endpoints at site and hosting environment scope, plus a reset endpoint that clears the disable list when policy changes.

Disable the recommendation named 'AlwaysOnEnabled' on site 'web-prod' for 30 days

Hosting environment audit

App Service Environment owners need a view of recommendations across every site running inside their ASE, not just one site. The hosting environment listing endpoints aggregate recommendations and history at ASE scope so platform teams can run an audit across all hosted apps from a single call.

List recommendation history for hosting environment 'ase-prod' for the last 30 days and summarise the top 5 recurring recommendations

Agent-driven remediation

An AI agent fronting a platform engineering portal reads active App Service recommendations, opens an internal ticket for each high-severity one, and disables recommendations once the corresponding fix is deployed. Jentic isolates the AAD client secret so the agent only sees scoped bearer tokens.

List high-severity recommendations across subscription X, open a ticket for each, then disable the corresponding recommendation once the ticket is closed

Key Endpoints

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

METHOD

PATH

DESCRIPTION

GET

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

List recommendations across a subscription

POST

/subscriptions/{subscriptionId}/providers/Microsoft.Web/recommendations/reset

Reset recommendations at subscription scope

POST

/subscriptions/{subscriptionId}/providers/Microsoft.Web/recommendations/{name}/disable

Disable a subscription-level recommendation

GET

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{hostingEnvironmentName}/recommendations

List recommendations for a hosting environment

GET

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{hostingEnvironmentName}/recommendationHistory

Recommendation history for a hosting environment

GET

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/recommendations

List recommendations for an App Service site

GET

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/recommendationHistory

Recommendation history for a site

GET

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

List recommendations across a subscription

POST

/subscriptions/{subscriptionId}/providers/Microsoft.Web/recommendations/reset

Reset recommendations at subscription scope

POST

/subscriptions/{subscriptionId}/providers/Microsoft.Web/recommendations/{name}/disable

Disable a subscription-level recommendation

GET

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{hostingEnvironmentName}/recommendations

List recommendations for a hosting environment

GET

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{hostingEnvironmentName}/recommendationHistory

Why Jentic?

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

Credential isolation

Your Azure AD OAuth 2.0 credential is stored once, encrypted, by your own Jentic One instance and a scoped bearer token is injected at execution time. The client secret never enters the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'list azure app service recommendations' or 'disable a recommendation on a site', and Jentic returns the matching operation with its input schema so the agent supplies the subscription, resource group, and site name without browsing the reference docs.

Time to first call

FAQs

Specific to using Recommendations API Client API through Jentic.

Why is there no official OpenAPI spec for Recommendations API Client?

Microsoft Azure does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Recommendations API 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 App Service Recommendations API use?

The API runs through Azure Resource Manager and uses OAuth 2.0 bearer tokens issued by Azure Active Directory under the azure_auth scheme with the user_impersonation scope. Through Jentic, the AAD client secret is held in the encrypted vault and a short-lived access token is supplied at execute time so the secret never appears in the agent's context.

Can I disable a single recommendation without affecting others?

Yes. POST .../recommendations/{name}/disable disables only the named recommendation at the chosen scope (subscription, hosting environment, or site). Other recommendations continue to fire normally, and the disable can be cleared later with the matching reset endpoint.

What are the rate limits for the App Service Recommendations API?

Azure Resource Manager applies subscription-level read and write throttles (around 12,000 reads per hour and 1,200 writes per hour per region per subscription) and returns 429 with a Retry-After header when exceeded. Listing endpoints support the standard $filter query parameter to narrow results.

How do I list recommendations through Jentic?

Search Jentic for 'list azure app service recommendations', load the schema for GET .../sites/{siteName}/recommendations, then execute with subscriptionId, resourceGroupName, and siteName. The pip install jentic Python SDK uses the async search, load, execute pattern.

Is the App Service Recommendations API free?

There is no per-call charge for the management API itself; recommendations are produced as part of the App Service platform and are not separately metered. You pay for the underlying App Service plans and sites.

Microsoft Azure Recommendations API Client

Connect the Recommendations API Client to your agent

Capabilities

Start building with Recommendations API Client API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs