Anomaly Detection · JSON Structure

Anomaly Detection Time Series Structure

A named time series used as input for anomaly detection, containing an ordered sequence of timestamped metric values.

Type: object Properties: 10 Required: 3

Anomaly DetectionArtificial IntelligenceData ScienceFraud DetectionMachine LearningMonitoringObservabilityOutlier DetectionPattern RecognitionSecurityTime Series

TimeSeries is a JSON Structure definition published by Anomaly Detection, describing 10 properties, of which 3 are required. It conforms to the https://json-structure.org/meta/core/v0/# meta-schema.

Properties

id name description metric unit granularity seasonality data_points created_at dimensions

Meta-schema: https://json-structure.org/meta/core/v0/#

JSON Structure

{
  "$schema": "https://json-structure.org/meta/core/v0/#",
  "$id": "https://raw.githubusercontent.com/api-evangelist/anomaly-detection/refs/heads/main/json-structure/anomaly-detection-time-series-structure.json",
  "description": "A named time series used as input for anomaly detection, containing an ordered sequence of timestamped metric values.",
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "Unique identifier for the time series.",
      "example": "ts-prod-cluster-01"
    },
    "name": {
      "type": "string",
      "description": "Human-readable name for the time series.",
      "example": "Production Cluster CPU Utilization"
    },
    "description": {
      "type": "string",
      "description": "Description of what this time series measures.",
      "example": "Average CPU utilization across production web cluster nodes."
    },
    "metric": {
      "type": "string",
      "description": "The metric being tracked in this series.",
      "example": "cpu_utilization"
    },
    "unit": {
      "type": "string",
      "description": "Unit of measurement for the metric values.",
      "example": "percent"
    },
    "granularity": {
      "type": "string",
      "description": "Time granularity between data points (ISO 8601 duration).",
      "example": "PT1M"
    },
    "seasonality": {
      "type": "string",
      "enum": [
        "hourly",
        "daily",
        "weekly",
        "none"
      ],
      "description": "The dominant seasonality pattern observed in this series.",
      "example": "daily"
    },
    "data_points": {
      "type": "array",
      "description": "Ordered list of timestamped data points.",
      "items": {
        "$ref": "#/$defs/DataPoint"
      }
    },
    "created_at": {
      "type": "datetime",
      "description": "Timestamp when this time series was created.",
      "example": "2026-01-01T00:00:00Z"
    },
    "dimensions": {
      "type": "object",
      "description": "Dimensional metadata tags for this series.",
      "additionalProperties": {
        "type": "string"
      }
    }
  },
  "required": [
    "id",
    "name",
    "metric"
  ],
  "name": "TimeSeries",
  "definitions": {
    "DataPoint": {
      "type": "object",
      "properties": {
        "timestamp": {
          "type": "datetime",
          "description": "Timestamp of the data point.",
          "example": "2026-04-19T14:00:00Z"
        },
        "value": {
          "type": "double",
          "description": "Metric value at this timestamp.",
          "example": 72.5
        }
      },
      "required": [
        "timestamp",
        "value"
      ],
      "name": "DataPoint"
    }
  }
}