Azure Functions
Azure Functions is a serverless compute service that lets you run event-triggered code without having to explicitly provision or manage infrastructure, supporting multiple programming languages and integration patterns.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Azure Functions the way a machine reads it — 70 machine-readable artifacts across 1 API, 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 — Azure Functions scores 59.7/100 (developing), with a separate agent-readiness read of 50/100 (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 Azure Functions
Each block below is one kind of artifact we hold for Azure Functions. 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 1
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.
Azure Functions WebApps API
The WebApps API from Azure Functions — 30 operation(s) for webapps.
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
MCP Server
MCP SERVERPricing 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.
Azure Functions Rate Limits
RATE LIMITSFinOps 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.
Azure Functions Finops
FINOPSSemantic Vocabularies 1
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 Functions Context
JSON-LDSpectral Rules 2
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.
Azure Functions API Rules
SPECTRALAzure Functions API Rules
SPECTRALJSON Schema 20
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.
ApiKVReference
JSON SCHEMAApplicationLogsConfig
JSON SCHEMAAzureBlobStorageApplicationLogsConfig
JSON SCHEMAAzureBlobStorageHttpLogsConfig
JSON SCHEMAAzureStorageInfoValue
JSON SCHEMAAzureStoragePropertyDictionaryResource
JSON SCHEMAAzureTableStorageApplicationLogsConfig
JSON SCHEMABackupItemCollection
JSON SCHEMABackupItem
JSON SCHEMABackupRequest
JSON SCHEMABackupSchedule
JSON SCHEMAConnStringValueTypePair
JSON SCHEMAConnectionStringDictionary
JSON SCHEMAContainerCpuStatistics
JSON SCHEMAContainerCpuUsage
JSON SCHEMAContainerInfo
JSON SCHEMAContainerMemoryStatistics
JSON SCHEMAContainerNetworkInterfaceStatistics
JSON SCHEMAContainerThrottlingData
JSON SCHEMAContinuousWebJob
JSON SCHEMAScroll within the panel for all 20 ·
JSON Structure 20
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Azure Functions Api Kv Reference Structure
JSON STRUCTUREAzure Functions Application Logs Config Structure
JSON STRUCTUREAzure Functions Azure Storage Info Value Structure
JSON STRUCTUREAzure Functions Backup Item Collection Structure
JSON STRUCTUREAzure Functions Backup Item Structure
JSON STRUCTUREAzure Functions Backup Request Structure
JSON STRUCTUREAzure Functions Backup Schedule Structure
JSON STRUCTUREAzure Functions Conn String Value Type Pair Structure
JSON STRUCTUREAzure Functions Connection String Dictionary Structure
JSON STRUCTUREAzure Functions Container Cpu Statistics Structure
JSON STRUCTUREAzure Functions Container Cpu Usage Structure
JSON STRUCTUREAzure Functions Container Info Structure
JSON STRUCTUREAzure Functions Container Memory Statistics Structure
JSON STRUCTUREAzure Functions Container Throttling Data Structure
JSON STRUCTUREAzure Functions Continuous Web Job Structure
JSON STRUCTUREScroll within the panel for all 20 ·
Examples 20
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.
Scroll within the panel for all 20 ·
Security Posture 1
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.
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 Azure Functions — 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 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/azure-functions · machine-readable index on apis.io