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Anomaly Detection Univariate API

Anomaly detection on a single time series.

Anomaly Detection Univariate API is one of 8 APIs that Anomaly Detection publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include Univariate. The published artifact set on APIs.io includes an OpenAPI specification.

This API exposes 2 operations across 2 paths, and defines 5 schemas. It is described by OpenAPI 3.2.0, at version 1.0.

Requests are made against 2 base URLs: https://{resource-name}.cognitiveservices.azure.com/anomalydetector/v1.0, https://{resource-name}.cognitiveservices.azure.com/anomalydetector/v1.1.

2 operations 2 paths 5 schemas 2 POST

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
1.0
Base URL
https://api.cognitive.microsoft.com
Authentication
API Key
Resource Areas
1

Authentication & Security 1

Anomaly Detection Univariate API declares 1 security scheme for authenticating requests. An API key is passed in the header as Ocp-Apim-Subscription-Key (SubscriptionKey). By default, every request must be authenticated.

  • SubscriptionKey — Azure Cognitive Services subscription key for the Anomaly Detector resource.

Paths & Operations 2

Across 2 paths, the API surfaces 2 operations — 2 POST. Each is listed below with its method, path, parameters, and response codes.

Univariate 2

Anomaly detection on a single time series.

POST
/timeseries/entire/detect
Detect anomalies for entire series (batch)
detectUnivariateEntireSeries body → 200400401
POST
/timeseries/last/detect
Detect anomaly status of the latest point (streaming)
detectUnivariateLastPoint body → 200400

Schemas 5

The contract defines 5 schemas that model the data the API accepts and returns. The most detailed are UnivariateLastDetectionResult (9 properties), UnivariateDetectionOptions (8 properties), UnivariateEntireDetectionResult (8 properties), TimeSeriesPoint (2 properties). Each schema is shown below with its type and property counts.

Error
object
2 properties
UnivariateEntireDetectionResult
object
8 properties
TimeSeriesPoint
object
2 properties 1 required
UnivariateLastDetectionResult
object
9 properties
UnivariateDetectionOptions
object
8 properties 1 required

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

anomaly-detection-univariate-api-openapi.yml Raw ↑

Other APIs Anomaly Detection publishes across the network.

Azure AI Anomaly Detector
Elasticsearch Anomaly Detection API
Datadog Anomaly Monitor API
AWS Lookout for Metrics
PyOD (Python Outlier Detection)
Anomaly Detection ChangePoint API
Anomaly Detection Multivariate API
Where this information came from

This is an independent, third-party profile of Anomaly Detection Univariate 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.

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