How AI is applied across API Evangelist and APIs.io. Read my AI disclosure →
API Evangelist API Evangelist
Discovery
Learnings
Guidance
Toolbox
Alignment
API Evangelist LLC

Microsoft Azure Timeseries API

The Timeseries API from Microsoft Azure — 3 operation(s) for timeseries.

Microsoft Azure Timeseries API is one of 1667 APIs that Microsoft Azure publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include Time Series. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, an API reference, pricing, a JSON-LD context, and a getting-started guide.

This API exposes 3 operations across 3 paths, and defines 10 schemas. It is described by OpenAPI 3.2.0, at version 2020-08-01-preview.

3 operations 3 paths 10 schemas 3 POST

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
2020-08-01-preview
Resource Areas
1

Paths & Operations 3

Across 3 paths, the API surfaces 3 operations — 3 POST. Each is listed below with its method, path, parameters, and response codes.

Timeseries 3
POST
/timeseries/changepoint/detect
Microsoft Azure Detect Change Point For The Entire Series
microsoftAzureUnivariateDetectunivariatechangepoint body → 200default
POST
/timeseries/entire/detect
Microsoft Azure Detect Anomalies For The Entire Series In Batch
microsoftAzureUnivariateDetectunivariateentireseries body → 200default
POST
/timeseries/last/detect
Microsoft Azure Detect Anomaly Status Of The Latest Point In Time Series
microsoftAzureUnivariateDetectunivariatelastpoint body → 200default

Schemas 10

The contract defines 10 schemas that model the data the API accepts and returns. The most detailed are Univariate.UnivariateLastDetectionResult (9 properties), Univariate.UnivariateEntireDetectionResult (8 properties), Univariate.UnivariateDetectionOptions (8 properties), Univariate.UnivariateChangePointDetectionOptions (6 properties). Each schema is shown below with its type and property counts.

Univariate.AnomalyDetectorErrorCodes
string
Univariate.ImputeMode
string
Univariate.TimeGranularity
string
Univariate.UnivariateLastDetectionResult
object
Response of the last anomaly detection.
9 properties 8 required
Univariate.UnivariateChangePointDetectionResult
object
Response of change point detection.
3 properties
Univariate.TimeSeriesPoint
object
Definition of input time series points.
2 properties 1 required
Univariate.UnivariateDetectionOptions
object
Request of the entire or last anomaly detection.
8 properties 1 required
Univariate.UnivariateChangePointDetectionOptions
object
Request of change point detection.
6 properties 2 required
Univariate.UnivariateEntireDetectionResult
object
Response of the entire anomaly detection.
8 properties 7 required
Univariate.AnomalyDetectorError
object
Error information that the API returned.
2 properties 2 required

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

microsoft-azure-timeseries-api-openapi.yml Raw ↑

Other APIs Microsoft Azure publishes across the network.

Microsoft Azure AI Search API
Microsoft Azure Communication Services API
Microsoft Azure Event Grid API
Microsoft Azure Functions API
Microsoft Azure DevOps REST API
Microsoft Azure AI Foundry API
Microsoft Azure Resource JSON Schema
Microsoft Azure JSON-LD Context
Microsoft Azure AccessConnector API
Microsoft Azure AccessControlRecords API
Microsoft Azure AccessPolicies API
Microsoft Azure AccessReviewInstanceAcceptRecommmendations API
Where this information came from

This is an independent, third-party profile of Microsoft Azure Timeseries API, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.

Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.

info@apievangelist.com · Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.