Microsoft Azure AI Foundry website screenshot

Microsoft Azure AI Foundry

Microsoft Azure AI Foundry (formerly Azure AI Studio) is an end-to-end platform for building, optimizing, evaluating, and governing AI applications and agents at scale. It provides access to Foundry Models (including Azure OpenAI and open-source models), the Foundry Agent Service, content safety, observability, and responsible AI tooling. The Foundry REST APIs and Azure SDKs use Microsoft Entra ID OAuth 2.0 bearer tokens or API keys for authentication.

Microsoft Azure AI Foundry publishes 8 APIs on the APIs.io network, including Chat Completions API, Completions API, Embeddings API, and 5 more. Tagged areas include Artificial Intelligence, Generative AI, AI Agents, Foundation Models, and Machine Learning.

Microsoft Azure AI Foundry’s developer surface includes developer portal, support, authentication, documentation, pricing, signup flow, engineering blog, and 11 more developer resources.

🌐 Visit website 📡 Source on GitHub
45.0/100 developing ▬ flat Agent 20/100 agent aware saas Full breakdown ↓
scored 2026-10-03 · rubric v0.23.0
AccessSelf serve
1 APIs 1 MCP Servers
Artificial IntelligenceGenerative AIAI AgentsFoundation ModelsMachine LearningCloudAzureA2A

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-03 · rubric v0.23.0
Composite quality — 45.0/100 · developing
Contract Quality 8.4 / 19
Developer Ergonomics 7.9 / 15
Access Clarity 6.7 / 15
Operational Transparency 1.8 / 10
Contract Governance 0.0 / 9
Discoverability 5.9 / 8
Regulatory Posture 4.9 / 15
Create-or-Update Ergonomics 2.2 / 10
Agent readiness — 20/100 · agent aware
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 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 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
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.
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 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
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 github.com/api-evangelist/azure-ai-foundry: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 8

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

Azure AI Foundry REST API

REST API for managing Foundry projects, hubs, model deployments, agents, threads, runs, and evaluations. Authentication uses Microsoft Entra ID OAuth 2.0 bearer tokens (or API k...

Microsoft Azure AI Foundry Chat Completions API

Chat-formatted text generation

Microsoft Azure AI Foundry Completions API

Plain text completions

Microsoft Azure AI Foundry Embeddings API

Vector embeddings for text

Microsoft Azure AI Foundry Images API

Image generation

Microsoft Azure AI Foundry Models API

Model and deployment metadata

Microsoft Azure AI Foundry Operations API

Operations operations

Microsoft Azure AI Foundry Workspaces API

Workspaces operations

Scroll for all 8

Open Collections 7

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

API Collection

OPEN COLLECTION

Azure AI Foundry Model Inference REST Chat Completions API

OPEN COLLECTION

Azure AI Foundry Model Inference REST Chat Completions API

OPEN COLLECTION

Azure AI Foundry Model Inference REST Chat Completions Embeddings API

OPEN COLLECTION

Azure AI Foundry Model Inference REST Chat Completions Images API

OPEN COLLECTION

Azure AI Foundry Model Inference REST Chat Completions Models API

OPEN COLLECTION

Azure AI Foundry Model Inference REST API

OPEN COLLECTION

Scroll for all 7

MCP Servers 1

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

Microsoft Azure AI Foundry MCP Server

MCP SERVER

Security Posture 3

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

Azure Ai Foundry Authentication

apiKey/oauth2 · 2 schemes

SECURITY

Azure Ai Foundry Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Azure Ai Foundry Vulnerability Disclosure

security.txt · contact published

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Azure Ai Foundry Scopes

1 scope · clientCredentials

1 scopes

SCOPES

Agentic Access 1

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

Azure Ai Foundry Agentic Access

7 operations · 6 acting

7 operations · 6 acting

AGENTIC

Resources

Get Started 2

Portal, sign-up, and the first successful call

Portal
Portal
 Signup
Signup

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer
MCPServer
 AgenticAccess
AgenticAccess
 LlmsText
LlmsText

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization

Access & Security 4

Authentication, authorization, and security posture

VulnerabilityDisclosure
VulnerabilityDisclosure
 DomainSecurity
DomainSecurity
 Authentication
Authentication
 OAuthScopes
OAuthScopes

Operate 2

Status, limits, changes, and where to get help

Support
Support
 StatusPage
StatusPage

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy
 Pricing
Pricing

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: azure-ai-foundry
name: Microsoft Azure AI Foundry
description: Microsoft Azure AI Foundry (formerly Azure AI Studio) is an end-to-end platform for building, optimizing, evaluating,
  and governing AI applications and agents at scale. It provides access to Foundry Models (including Azure OpenAI and open-source
  models), the Foundry Agent Service, content safety, observability, and responsible AI tooling. The Foundry REST APIs and
  Azure SDKs use Microsoft Entra ID OAuth 2.0 bearer tokens or API keys for authentication.
type: Index
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/azure-ai-foundry.png
tags:
- Artificial Intelligence
- Generative AI
- AI Agents
- Foundation Models
- Machine Learning
- Cloud
- Azure
- A2A
tags_raw:
- Artificial Intelligence
- Generative AI
- AI Agents
- Foundation Models
- Machine Learning
- Cloud
- Azure
- Machine-Learning
- A2A
url: https://azure.microsoft.com/en-us/products/ai-foundry/
created: '2026-05-11'
modified: '2026-05-11'
specificationVersion: '0.23'
apis:
- aid: azure-ai-foundry:foundry-api
  name: Azure AI Foundry REST API
  description: REST API for managing Foundry projects, hubs, model deployments, agents, threads, runs, and evaluations. Authentication
    uses Microsoft Entra ID OAuth 2.0 bearer tokens (or API keys for inference endpoints) over HTTPS.
  humanURL: https://learn.microsoft.com/en-us/azure/ai-foundry/
  baseURL: https://{your-resource-name}.services.ai.azure.com
  tags:
  - AI Foundry
  - Agents
  - Models
  - Generative AI
  - Azure
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/en-us/azure/ai-foundry/
  - type: REST API Reference
    url: https://learn.microsoft.com/en-us/rest/api/aifoundry/
  - type: SDK Overview
    url: https://learn.microsoft.com/en-us/azure/ai-foundry/how-to/develop/sdk-overview
  - type: Portal
    url: https://ai.azure.com/
- aid: azure-ai-foundry:azure-ai-foundry-chat-completions-api
  name: Microsoft Azure AI Foundry Chat Completions API
  description: Chat-formatted text generation
  humanURL: https://learn.microsoft.com/en-us/azure/ai-foundry/
  baseURL: https://{your-resource-name}.services.ai.azure.com
  tags:
  - Chat Completions
  properties:
  - type: OpenAPI
    url: openapi/azure-ai-foundry-chat-completions-api-openapi.yml
- aid: azure-ai-foundry:azure-ai-foundry-completions-api
  name: Microsoft Azure AI Foundry Completions API
  description: Plain text completions
  humanURL: https://learn.microsoft.com/en-us/azure/ai-foundry/
  baseURL: https://{your-resource-name}.services.ai.azure.com
  tags:
  - Completions
  properties:
  - type: OpenAPI
    url: openapi/azure-ai-foundry-completions-api-openapi.yml
- aid: azure-ai-foundry:azure-ai-foundry-embeddings-api
  name: Microsoft Azure AI Foundry Embeddings API
  description: Vector embeddings for text
  humanURL: https://learn.microsoft.com/en-us/azure/ai-foundry/
  baseURL: https://{your-resource-name}.services.ai.azure.com
  tags:
  - Embeddings
  properties:
  - type: OpenAPI
    url: openapi/azure-ai-foundry-embeddings-api-openapi.yml
- aid: azure-ai-foundry:azure-ai-foundry-images-api
  name: Microsoft Azure AI Foundry Images API
  description: Image generation
  humanURL: https://learn.microsoft.com/en-us/azure/ai-foundry/
  baseURL: https://{your-resource-name}.services.ai.azure.com
  tags:
  - Image
  tags_raw:
  - Images
  properties:
  - type: OpenAPI
    url: openapi/azure-ai-foundry-images-api-openapi.yml
- aid: azure-ai-foundry:azure-ai-foundry-models-api
  name: Microsoft Azure AI Foundry Models API
  description: Model and deployment metadata
  humanURL: https://learn.microsoft.com/en-us/azure/ai-foundry/
  baseURL: https://{your-resource-name}.services.ai.azure.com
  tags:
  - Models
  properties:
  - type: OpenAPI
    url: openapi/azure-ai-foundry-models-api-openapi.yml
- aid: microsoft-azure-ai-foundry:microsoft-azure-ai-foundry-operations-api
  name: Microsoft Azure AI Foundry Operations API
  description: Operations operations
  humanURL: https://learn.microsoft.com/en-us/rest/api/azureml/
  baseURL: https://management.azure.com/
  tags: []
  tags_raw:
  - Operations
  properties:
  - type: OpenAPI
    url: openapi/azure-ai-foundry-operations-api-openapi.yml
  - type: Documentation
    url: https://learn.microsoft.com/en-us/rest/api/azureml/
  - type: APIReference
    url: https://learn.microsoft.com/en-us/azure/ai-foundry/
  - type: Authentication
    url: https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/rbac-azure-ai-foundry
  - type: SDKs
    url: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/ai
- aid: microsoft-azure-ai-foundry:microsoft-azure-ai-foundry-workspaces-api
  name: Microsoft Azure AI Foundry Workspaces API
  description: Workspaces operations
  humanURL: https://learn.microsoft.com/en-us/rest/api/azureml/
  baseURL: https://management.azure.com/
  tags:
  - Workspace
  tags_raw:
  - Workspaces
  properties:
  - type: OpenAPI
    url: openapi/azure-ai-foundry-workspaces-api-openapi.yml
  - type: Documentation
    url: https://learn.microsoft.com/en-us/rest/api/azureml/
  - type: APIReference
    url: https://learn.microsoft.com/en-us/azure/ai-foundry/
  - type: Authentication
    url: https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/rbac-azure-ai-foundry
  - type: SDKs
    url: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/ai
common:
- type: Portal
  url: https://portal.azure.com/
- type: TermsOfService
  url: https://www.microsoft.com/en-us/legal/terms-of-use
- type: PrivacyPolicy
  url: https://privacy.microsoft.com/en-us/privacystatement
- type: Support
  url: https://support.microsoft.com/
- type: StatusPage
  url: https://status.azure.com/
- type: MCPServer
  url: https://github.com/Azure/ai-foundry-isv-mcp-agent
- type: AgenticAccess
  url: agentic-access/azure-ai-foundry-agentic-access.yml
- type: VulnerabilityDisclosure
  url: security/azure-ai-foundry-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/azure-ai-foundry-domain-security.yml
- type: Authentication
  url: authentication/azure-ai-foundry-authentication.yml
- type: OAuthScopes
  url: scopes/azure-ai-foundry-scopes.yml
- type: GitHubOrganization
  url: https://github.com/azure-ai-foundry
- type: Website
  url: https://azure.microsoft.com/en-us/products/ai-foundry/
- type: Documentation
  url: https://learn.microsoft.com/en-us/azure/ai-foundry/
- type: Pricing
  url: https://azure.microsoft.com/en-us/pricing/details/ai-foundry/
- type: Signup
  url: https://azure.microsoft.com/en-us/free/
- type: LlmsText
  url: https://ai.azure.com/llms.txt
- url: https://azure.microsoft.com/en-us/blog/feed/atom/
  type: Blog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
x-parent: microsoft-azure
x-relationship: product

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