btziforest

Extract the next new anonaly in a dataset

Anomaly Detection Trigger


Automating tasks with Anomaly Detection enables you to efficiently identify unusual patterns in your datasets. This integration facilitates anomaly detection, optimizing processes and enhancing decision-making.

With this tool, you can set up triggers that analyze your data for irregularities, allowing you to respond promptly to any significant deviations. Simplify your data monitoring and maintain full control over the quality and consistency of your information.




Customization Options

Configurable fields you can adjust in your automation

  • Train Dataset URL (CSV format)
  • Exclude CSV first columns (use it as a Key)
  • Predict Dataset URL (CSV format)
  • Exclude CSV first columns (use it as a Key)



Information provided

When executed, this operation delivers the following data, which can be used in the same automatic task.

  • Tags

  • Train duration in seconds {{train_duration}}

  • Anomalies Dataset URL {{url_anomalies_dataset}}

  • Total number of instances {{total_instances}}

  • Total number of anomalies {{total_anomalies}}




Write us

By email or by Telegram.
Monday to Friday from 7 a.m. to 1 p.m. (Spain).

Let's talk

Choose day and time.
We share the screen and answer all your questions.