Microsoft Azure AI Foundry website screenshot

Microsoft Azure AI Foundry

Microsoft Azure AI Foundry is a unified platform for building, evaluating, and deploying generative AI applications. It provides a model catalog, prompt engineering tools, fine-tuning capabilities, retrieval augmented generation (RAG) patterns, and responsible AI evaluation across a comprehensive set of management and data plane APIs.

Microsoft Azure AI Foundry publishes 2 APIs on the APIs.io network: Operations API and Workspaces API. Tagged areas include Artificial Intelligence, AI Services, Generative AI, Microsoft Azure, and Model Catalog.

Microsoft Azure AI Foundry’s developer surface includes authentication, developer portal, documentation, pricing, support, and 9 more developer resources.

44.3/100 developing ▬ flat Agent 23/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
AccessFreemiumSelf serve⚡ Free to try
2 APIs 1 MCP Servers
Artificial IntelligenceAI ServicesGenerative AIMicrosoft AzureModel Catalog

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
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.
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/microsoft-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 2

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

Open Collections 4

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

API Collection

OPEN COLLECTION

MCP Servers 1

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

MCP Server

MCP SERVER

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

FinOps 1

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

Security Posture 2

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

Microsoft Azure Ai Foundry Authentication

oauth2 · 1 scheme

SECURITY

Microsoft Azure Ai Foundry Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Microsoft Azure Ai Foundry Scopes

1 scope · implicit

1 scopes

SCOPES

Agentic Access 1

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

Microsoft Azure Ai Foundry Agentic Access

7 operations · 3 acting

7 operations · 3 acting

AGENTIC

Resources

Get Started 1

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 3

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Source (apis.yml)

apis.yml Raw ↑
aid: microsoft-azure-ai-foundry
name: Microsoft Azure AI Foundry
description: Microsoft Azure AI Foundry is a unified platform for building, evaluating, and deploying generative AI applications.
  It provides a model catalog, prompt engineering tools, fine-tuning capabilities, retrieval augmented generation (RAG) patterns,
  and responsible AI evaluation across a comprehensive set of management and data plane APIs.
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: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/microsoft-azure-ai-foundry.png
tags:
- Artificial Intelligence
- AI Services
- Generative AI
- Microsoft Azure
- Model Catalog
tags_raw:
- AI
- AI Services
- Generative AI
- Microsoft Azure
- Model Catalog
url: https://raw.githubusercontent.com/api-evangelist/microsoft-azure-ai-foundry/refs/heads/main/apis.yml
created: '2026-03-13'
modified: '2026-05-19'
specificationVersion: '0.23'
apis:
- 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/microsoft-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:
  - Workspaces
  properties:
  - type: OpenAPI
    url: openapi/microsoft-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: AgenticAccess
  url: agentic-access/microsoft-azure-ai-foundry-agentic-access.yml
- type: DomainSecurity
  url: security/microsoft-azure-ai-foundry-domain-security.yml
- type: Authentication
  url: authentication/microsoft-azure-ai-foundry-authentication.yml
- type: OAuthScopes
  url: scopes/microsoft-azure-ai-foundry-scopes.yml
- type: Portal
  url: https://portal.azure.com/
- type: Documentation
  url: https://learn.microsoft.com/en-us/azure/ai-foundry/
- type: Pricing
  url: https://azure.microsoft.com/en-us/pricing/
- 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: GitHubOrganization
  url: https://github.com/Azure
- name: MCP Server
  url: https://github.com/Azure/ai-foundry-isv-mcp-agent
  type: MCPServer
- type: LlmsText
  url: https://portal.azure.com/llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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