{
  "opencollection": "1.0.0",
  "info": {
    "name": "Microsoft Azure AccessControlClient AccessConnector Timeseries API",
    "version": "2020-08-01-preview"
  },
  "items": [
    {
      "info": {
        "name": "Timeseries",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Microsoft Azure Detect Change Point For The Entire Series",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "{{baseUrl}}/timeseries/changepoint/detect"
          },
          "docs": "Evaluate the change point score of every series point."
        },
        {
          "info": {
            "name": "Microsoft Azure Detect Anomalies For The Entire Series In Batch",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "{{baseUrl}}/timeseries/entire/detect"
          },
          "docs": "This operation generates a model with an entire series. Each point is detected<br>with the same model. With this method, points before and after a certain point<br>are used to determine whether it's an anomaly. The entire detection can give the<br>user an overall status of the time series."
        },
        {
          "info": {
            "name": "Microsoft Azure Detect Anomaly Status Of The Latest Point In Time Series",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "{{baseUrl}}/timeseries/last/detect"
          },
          "docs": "This operation generates a model by using the points that you sent in to the API<br>and based on all data to determine whether the last point is anomalous."
        }
      ]
    }
  ],
  "bundled": true
}