Microsoft Azure Health Data Services
Microsoft Azure Health Data Services is a cloud-based suite of managed API services built on open healthcare standards (FHIR R4, DICOM, HL7) that enables healthcare organizations to collect, store, analyze, and exchange protected health information (PHI) at scale. The platform includes a FHIR service for structured clinical data exchange, a DICOM service for medical imaging workflows, a MedTech service for IoMT device data ingestion, and a de-identification service for HIPAA-compliant PHI removal from unstructured text. All services run within a HIPAA/HITRUST compliance boundary in an Azure workspace and authenticate via Microsoft Entra ID OAuth 2.0 bearer tokens.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Microsoft Azure Health Data Services the way a machine reads it — 36 machine-readable artifacts across 13 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Microsoft Azure Health Data Services scores 60.2/100 (strong), with a separate agent-readiness read of 48/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
How we profile Microsoft Azure Health Data Services
Each block below is one kind of artifact we hold for Microsoft Azure Health Data Services. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 13
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Microsoft Azure Health Data Services Collection API
The Collection API from Microsoft Azure Health Data Services — 2 operation(s) for collection.
Microsoft Azure Health Data Services Deid API
The Deid API from Microsoft Azure Health Data Services — 1 operation(s) for deid.
Microsoft Azure Health Data Services DicomServices API
The DicomServices API from Microsoft Azure Health Data Services — 2 operation(s) for dicomservices.
Microsoft Azure Health Data Services FhirServices API
The FhirServices API from Microsoft Azure Health Data Services — 2 operation(s) for fhirservices.
Microsoft Azure Health Data Services IotConnectors API
The IotConnectors API from Microsoft Azure Health Data Services — 4 operation(s) for iotconnectors.
Microsoft Azure Health Data Services Jobs API
The Jobs API from Microsoft Azure Health Data Services — 4 operation(s) for jobs.
Microsoft Azure Health Data Services PrivateEndpointConnections API
The PrivateEndpointConnections API from Microsoft Azure Health Data Services — 2 operation(s) for privateendpointconnections.
Microsoft Azure Health Data Services PrivateLinkResources API
The PrivateLinkResources API from Microsoft Azure Health Data Services — 2 operation(s) for privatelinkresources.
Microsoft Azure Health Data Services Proxy API
The Proxy API from Microsoft Azure Health Data Services — 3 operation(s) for proxy.
Microsoft Azure Health Data Services Resource API
The Resource API from Microsoft Azure Health Data Services — 1 operation(s) for resource.
Microsoft Azure Health Data Services WorkspacePrivateEndpointConnections API
The WorkspacePrivateEndpointConnections API from Microsoft Azure Health Data Services — 2 operation(s) for workspaceprivateendpointconnections.
Microsoft Azure Health Data Services WorkspacePrivateLinkResources API
The WorkspacePrivateLinkResources API from Microsoft Azure Health Data Services — 2 operation(s) for workspaceprivatelinkresources.
Microsoft Azure Health Data Services Workspaces API
The Workspaces API from Microsoft Azure Health Data Services — 3 operation(s) for workspaces.
Scroll within the panel for all 13 ·
Pricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
FinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Semantic Vocabularies 2
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Azure Health Context
JSON-LDAzure Health Graph Context
JSON-LDSpectral Rules 1
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
JSON Schema 6
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
De-identification Request Content
JSON SCHEMADe-identification Batch Job
JSON SCHEMAAzure Health Data Services DICOM Service
JSON SCHEMAAzure Health Data Services FHIR Service
JSON SCHEMAAzure Health Data Services Workspace
JSON SCHEMAExamples 6
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Deidentification Batch Job
EXAMPLEDicom Service Create
EXAMPLEFhir Service Create
EXAMPLEMedtech Connector Create
EXAMPLEWorkspace Create
EXAMPLESecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes are the vocabulary of least-privilege access. Profiling them shows exactly what an integration — or an agent acting on a user's behalf — is allowed to do.
OAuth scopes governing access to this provider's APIs.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Microsoft Azure Health Data Services — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 1
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 6
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 2
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/azure-health · machine-readable index on apis.io