Try StarTree Cloud: 30-day free trial


Adds a ColdStart label to anomalies that occur at the beginning of the dataset. Used to filter anomalies until the detection model has enough historical data.
The start of the dataset is obtained by looking at the minimum time value in the Pinot main time column.
The cold start period is defined as [start, start + coldStartPeriod]. coldStartPeriodis configurable.


  • The output of the detector. Labels are applied to the anomalies of this input.
  "sourcePlanNode": "anomalyDetector"


namedescriptiondefault value
component.coldStartPeriodCold start period. In ISO-8601 (opens in a new tab) format. Eg P7D. If the anomaly is in [start, start + Period], label the anomaly.
component.tableNameTable to look at to find the start. Eg my_dataset.


  "name": "root",
  "type": "PostProcessor",
  "params": {
    "type": "COLD_START",
    "component.ignore": "true", # filter anomaly in notifications an ui bydefault
    "component.coldStartPeriod": "P14D", # filter anomalies in the first 14 days of the dataset
    "component.tableName": "my_dataset"
  "inputs": [
      "sourcePlanNode": "anomalyDetector"