Product
Jentic OSThe workplace. An in-house AI platform for every employeeJentic OneSafe access. Agents reach your systems without holding keysJentic AIRThe foundation. Gets your existing platforms ready for AI
Pricing
Developers

GET STARTED

API DirectoryBrowse 10,000+ APIs Ready For AI Agent IntegrationDocumentationGuides and API reference

TOOLS

API ScoringCheck your AI Readiness using our scorecardArazzo UIVisualize Arazzo Workflows As Interactive DocumentationArazzo EditorBuild And Edit Multi-Step API Workflows Visually

COMMUNITY

GitHubOpen source projects and examplesOpen StandardsBuilt on open specs. Never locked in.
Resources
Company
About UsOur mission and teamCareersJoin our teamContactGet in touch
Try it now
Jentic OSJentic OneJentic AIR
Pricing
API DirectoryDocumentationAPI ScoringArazzo UIArazzo EditorGitHubOpen Standards
Resources
About UsCareersContact
Try it now
JenticJentic
Products
  • Jentic OS
  • Jentic One
  • Jentic AIR
For Developers
  • API Directory
  • Documentation
  • GitHub
Company
  • About Jentic
  • Careers
  • Contact Us
  • Trust Centre
ISO/IEC 27001:2022 certification badge issued by Prescient SecurityISO/IEC 27001:2022 certification badge issued by Prescient Security

Information Security Management System

Certified to ISO/IEC 27001:2022 by Prescient Security

AICPA SOC for Service Organizations logoAICPA SOC for Service Organizations logo

SOC 2® Type 1 report

Audited by Prescient Assurance

Terms & Conditions•Privacy Policy•
© 2026 Jentic Technology Ltd. All rights reserved.
2 Grattan Court East, Dublin, D02 VX86, Ireland
Switch to light modeSwitch to dark mode
APIs / Cloud Infrastructure / Azure / Power BI Embedded Management Client
Power BI Embedded Management Client logo

Microsoft Azure Power BI Embedded Management Client

Browse all Azure APIs
43
AI ReadinessFoundational (D-)43/100
See full scorecard
Agent-ready OpenAPI document · curated by JenticCloud InfrastructureComputeoauth212 EndpointsREST

Know of an official OpenAPI document? Contribute it →

For Agents

Provision and manage Power BI Embedded workspace collections in Azure, rotate their access keys, and list the workspaces hosted inside each collection.

Use for: Provision a new Power BI Embedded workspace collection, Retrieve the access keys for an embedded Power BI workspace collection, Rotate the primary access key on a Power BI Embedded workspace collection, List all Power BI Embedded workspace collections in a subscription

Not supported: Does not author Power BI reports, mint embed tokens, or query datasets - use for the Microsoft.PowerBI workspace collection resource lifecycle and access-key management only.

Jentic publishes the only available OpenAPI specification for Power BI Embedded Management Client, keeping it validated and agent-ready. The API manages Microsoft.PowerBI workspace collections in Azure Resource Manager, covering provisioning, listing, updates, deletes, and access-key rotation for the dedicated capacity that hosts embedded Power BI dashboards. It also includes name availability checks and a workspace listing endpoint used to surface workspaces inside a collection.

Jentic One on GithubView OpenAPI Document

Install Jentic One Beta

Connect the Power BI Embedded Management Client to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Power BI Embedded 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.

1

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fazure.com%2Fpower-bi-embedded-management-client" | sh
2

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fazure.com%2Fpower-bi-embedded-management-client" | 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 Power BI Embedded Management Client API.

Provision a Power BI Embedded workspace collection in a resource group

List workspace collections at subscription or resource-group scope

Rotate or retrieve the access keys used to embed Power BI content

Migrate workspace collections between resource groups

Check whether a workspace collection name is available before provisioning

List the workspaces hosted inside a given collection

Use Cases

Patterns agents use Power BI Embedded Management Client API for, with concrete tasks.

★ Embedded analytics provisioning

A SaaS team that embeds Power BI dashboards into its product needs a per-tenant workspace collection in Azure. The API provisions the collection in the chosen resource group, returns the access keys needed to mint embed tokens, and lists the workspaces inside the collection so the application can route reports to the right tenant.

Create a Power BI Embedded workspace collection named 'tenant-acme-prod' in resource group 'analytics-rg' in West Europe, then return its access keys

Access key rotation

Embedded Power BI tokens are signed with workspace collection access keys, so rotating those keys is a regular security task. The API regenerates a chosen key and exposes both keys so the rotation can be staged across the embedding application without downtime.

Regenerate the secondary access key for workspace collection 'tenant-acme-prod' and return the new key value

Tenant cleanup and migration

When a tenant is offboarded or moved between business units, the workspace collection needs to be migrated to a new resource group or deleted. The API lists collections by subscription, supports a moveResources call for migration, and deletes idle collections so capacity is not left running.

List all workspace collections in subscription X, identify any tagged 'lifecycle=eol', and delete each one

Agent-driven embed onboarding

An AI agent fronting an internal portal accepts a tenant onboarding request, checks the proposed workspace collection name, provisions the collection in the right region, fetches the access keys, and stores them in the tenant config. Jentic isolates the Azure AD client secret so the agent only ever sees scoped bearer tokens.

Onboard a new embedded analytics tenant: validate the desired collection name, provision in West Europe, return access keys for the application config

Key Endpoints

12 endpoints — jentic publishes the only available openapi specification for power bi embedded management client, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

PUT

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.PowerBI/workspaceCollections/{workspaceCollectionName}

Create or update a workspace collection

GET

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.PowerBI/workspaceCollections/{workspaceCollectionName}

Get a specific workspace collection

DELETE

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.PowerBI/workspaceCollections/{workspaceCollectionName}

Delete a workspace collection

POST

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.PowerBI/workspaceCollections/{workspaceCollectionName}/listKeys

List access keys for a workspace collection

POST

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.PowerBI/workspaceCollections/{workspaceCollectionName}/regenerateKey

Regenerate an access key

GET

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.PowerBI/workspaceCollections/{workspaceCollectionName}/workspaces

List workspaces inside a collection

POST

/subscriptions/{subscriptionId}/providers/Microsoft.PowerBI/locations/{location}/checkNameAvailability

Check workspace collection name availability

PUT

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.PowerBI/workspaceCollections/{workspaceCollectionName}

Create or update a workspace collection

GET

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.PowerBI/workspaceCollections/{workspaceCollectionName}

Get a specific workspace collection

DELETE

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.PowerBI/workspaceCollections/{workspaceCollectionName}

Delete a workspace collection

POST

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.PowerBI/workspaceCollections/{workspaceCollectionName}/listKeys

List access keys for a workspace collection

POST

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.PowerBI/workspaceCollections/{workspaceCollectionName}/regenerateKey

Regenerate an access key

GET

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.PowerBI/workspaceCollections/{workspaceCollectionName}/workspaces

List workspaces inside a collection

POST

/subscriptions/{subscriptionId}/providers/Microsoft.PowerBI/locations/{location}/checkNameAvailability

Check workspace collection name availability

Jentic AI Readiness Score

This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.

P

Power BI Embedded Management Client

- Foundational (D-)
43/100
90
Foundational Compliance
63
Developer Experience & Jentic Compatibility
17
AI-Readiness & Agent Experience
94
Agent Usability
100
Security
100
AI Discoverability
Powered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.0
Show dimension breakdown
90

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: ASignals: 4
98%

Lint Results

Aggregated quality score from linter diagnostics, weighted by severity.

100%

Resolution Completeness

Percentage of `$ref` references that resolve successfully.

100%

Specification Validity

Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).

60%

Structural Integrity

Structural correctness score based on schema issues using logarithmic dampening.

63

Developer Experience & Jentic Compatibility

Clarity, completeness, and ingestion readiness for developers and tooling.

Grade: B-Signals: 4
0%

Example Density

How richly the API is illustrated with examples.

100%

Example Validity

Percentage of examples that conform to their schemas.

50%

Response Coverage

Percentage of operations with complete response definitions (success, client error, server error).

100%

Tooling Readiness

Health of API ingestion, bundling, and resolution within Jentic pipelines.

17

AI-Readiness & Agent Experience

Semantic breadth, depth, and agent comprehension for AI systems.

Grade: FSignals: 4
58%

Description Coverage

Coverage of descriptions across API elements.

0%

Error Standardization

Coverage of RFC 9457 Problem Details for error responses.

8%

OperationId Quality

Coverage, uniqueness, and casing consistency of operationIds for AI inference.

0%

Summary Coverage

Coverage of summaries across operations/tags/info.

94

Agent Usability

Functional utility, complexity comfort, and AI orchestration readiness.

Grade: A+Signals: 1
94%

Complexity Comfort

Agent comfort level based on API operational and structural complexity.

100

Security

Trust, risk posture, and security compliance.

Grade: A+Signals: 1
100%

Authentication Strength

Average quality of security schemes based on authentication method strength (weakest link for OAuth2).

100

AI Discoverability

Findability, semantic richness, and reasoning readiness.

Grade: A+Signals: 1
100%

Descriptive Richness

Clarity and depth of descriptions across API elements.

View full reportHow the score is calculatedMore about the dimensions

Score it yourself

Every API in the directory is allowlisted, so you can re-score it with no key required.

Score your own APIScoring CLI agent skill
npx @jentic/api-scorecard-cli score <openapi-url>

Why Jentic?

What agents get from Jentic-routed access to this vendor.

Setup

Wiring the Power BI Embedded Management Client by hand means registering an Azure AD app for OAuth 2.0, minting bearer tokens against management.azure.com, and polling the asynchronous provisioning of workspace collections yourself. Through Jentic you install once, import the Power BI Embedded Management Client from the API Directory, store the Azure AD credential once, and your agent calls it.

Permission scoping

The subscription, resource group, and workspace collection name all travel in the URL path (/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.PowerBI/workspaceCollections/{workspaceCollectionName}), so a rule can pin your agent to one collection and the operations it needs, such as listing keys and provisioning. You choose the operations it may call, so destructive ones like deleting a collection or regenerating an access key are not included unless you add them.

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 'provision a power bi embedded workspace collection' or 'rotate the access keys for an embedded collection', and Jentic returns the matching operation with its input schema so the agent supplies subscription, resource group, location, and SKU without browsing the reference docs.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Alternative

PowerBIDedicated

→

Manages Power BI Dedicated capacities, the successor to Power BI Embedded workspace collections

Pick this when the workload uses the newer Power BI Dedicated (A SKU) capacity model rather than legacy embedded workspace collections.

Complementary

App Service Plans API Client

→

Provisions the App Service plan that typically hosts the application embedding Power BI

Pick this when the agent also needs to size or scale the web application that renders the embedded Power BI reports.

Complementary

SQL Management Client

→

Manages Azure SQL databases that commonly back Power BI Embedded reports

Pick this when the agent also needs to provision or scale the Azure SQL data source feeding the embedded reports.

FAQs

Specific to using Power BI Embedded Management Client API through Jentic.

Why is there no official OpenAPI spec for Power BI Embedded Management Client?

Microsoft Azure does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Power BI Embedded Management Client via structured tooling. It is validated against the live API and kept up to date. Get started with Jentic One, the self-hosted execution layer.

What authentication does the Power BI Embedded Management 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 or refresh token 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 rotate the access keys for an embedded workspace collection?

Yes. POST /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.PowerBI/workspaceCollections/{workspaceCollectionName}/regenerateKey regenerates the chosen primary or secondary key, and the listKeys POST endpoint returns the current pair so rotation can be staged across the embedding application.

What are the rate limits for the Power BI Embedded Management 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. Provisioning is asynchronous and should be polled with backoff.

How do I provision an embedded workspace collection through Jentic?

Search Jentic for 'provision power bi embedded workspace collection', load the schema for PUT .../workspaceCollections/{workspaceCollectionName}, then execute with subscriptionId, resourceGroupName, location, and SKU. The pip install jentic Python SDK uses the async search, load, execute pattern.

Is the Power BI Embedded Management API free?

There is no per-call charge for the management API itself; you pay for the Power BI Embedded capacity SKU you select on the workspace collection resource. Reads against the management plane are not separately metered.

Can I limit what my agent is allowed to do with the Power BI Embedded Management API?

Yes. Because Jentic One is self-hosted, you write the rules that decide which operations and credentials the agent may use, and the subscription, resource group, and workspace collection name all travel in the URL path, so you can pin the agent to a single collection and only the calls it needs. You choose the exact operations it can invoke, such as provisioning a collection or listing access keys, while leaving destructive ones like deleting a collection or regenerating a key out unless you explicitly add them. The Azure AD credential is stored once by your own instance and a scoped bearer token is supplied at execution time, so the agent never handles the raw secret.

GET STARTED

Start building with Power BI Embedded Management Client API

Explore with Jentic One
View OpenAPI Document