{
  "opencollection": "1.0.0",
  "info": {
    "name": "Nixtla Forecast Anomaly Detection Online Anomaly Detection API",
    "version": "0.2.8"
  },
  "items": [
    {
      "info": {
        "name": "Online Anomaly Detection",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Foundational Time Series Model Online Multi Series Anomaly Detector",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.nixtla.io/v2/online_anomaly_detection",
            "body": {
              "type": "json",
              "data": "{}"
            },
            "auth": {
              "type": "bearer",
              "token": "{{bearerToken}}"
            }
          },
          "docs": "This endpoint performs online anomaly detection based on the provided data. It uses cross-validation for more robust detection of anomalies and it supports detection for univariate and multivariate scenarios. It takes a JSON as an input containing information like the series frequency and historical data. (See below for a full description of the parameters.) The response contains a flag indicating if the date has an anomaly, it provides the prediction interval used to define if an observation is"
        }
      ]
    }
  ],
  "bundled": true
}