Azure Stream Analytics
Azure Stream Analytics REST API provides management of real-time analytics jobs that process streaming data from IoT devices, Event Hubs, and blob storage. It supports creating streaming jobs, defining input sources, output destinations, and transformation queries using SQL-like syntax.
Azure Stream Analytics publishes 6 APIs on the APIs.io network, including Clusters API, Functions API, Inputs API, and 3 more. Tagged areas include Stream Processing, Real-Time Analytics, IoT, and Event Processing.
Azure Stream Analytics’ developer surface includes authentication, developer portal, pricing, documentation, getting-started guide, support, engineering blog, and 8 more developer resources.
Kin Score
APIs 6
Individual APIs this provider publishes, each with its own machine-readable definition.
Azure Stream Analytics Clusters API
The Clusters API from Azure Stream Analytics — 1 operation(s) for clusters.
Azure Stream Analytics Functions API
The Functions API from Azure Stream Analytics — 1 operation(s) for functions.
Azure Stream Analytics Inputs API
The Inputs API from Azure Stream Analytics — 1 operation(s) for inputs.
Azure Stream Analytics Outputs API
The Outputs API from Azure Stream Analytics — 1 operation(s) for outputs.
Azure Stream Analytics StreamingJobs API
The StreamingJobs API from Azure Stream Analytics — 5 operation(s) for streamingjobs.
Azure Stream Analytics Transformations API
The Transformations API from Azure Stream Analytics — 1 operation(s) for transformations.
Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Azure Stream Analytics REST API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Microsoft Azure Stream Analytics Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Microsoft Azure Stream Analytics Agentic Access
14 operations · 6 acting · 1 human-in-the-loop
AGENTICResources
Get Started 2
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
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API