Our group would like our new unmodelled burst search pipeline, `GWAK`, to be added to GraceDB Playground. Example output fields that we want to capture are "time", "detection_statistic", "FAR" and "IFOs". The first three quantities are numeric and the last is string. `GWAK` is a machine-learning-based algorithm that has been presented several times to the Burst group. The detailed description was published in the [MLST journal](https://iopscience.iop.org/article/10.1088/2632-2153/ad3a31) on 25 April 2024, it performs comparably with the rest of LVK pipelines. We would like to run `GWAK` in real-time after all the reviews and checks are completed. But in the meantime, it will be helpful to start testing its real-time running, including working out details around real-time training of the algorithm. Please let me know if you need further information. I am adding the rest of the `GWAK` team: @eric.moreno, @ryan.raikman, @erik-katsavounidis