  Automated forecasts serve important role in space weather science, by
providing statistical insights to flare-trigger mechanisms, and by enabling
tailor-made forecasts and high-frequency forecasts. Only by realtime forecast
we can experimentally measure the performance of flare-forecasting methods
while confidently avoiding overlearning.
  We have been operating unmanned flare forecast service since August, 2015
that provides 24-hour-ahead forecast of solar flares, every 12 minutes. We
report the method and prediction results of the system.
