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Valentin Yslas

truefixr_atlasunited

Address-level storm intelligence: machine-learning storm forecasts, model-based weather and reported storm history for any U.S. address.

ACTOR STATS

5 public Actors

10 total users

1 monthly user

61.6% runs succeeded

Address-level storm and weather data

Five tools that answer one question for any U.S. street address: what has hit it, what could hit it, and what is the weather there.

Forecast (models)

  • ML Storm Forecast by Address, 24 Hours to 10 Days. Per-peril machine-learning models cover 10 perils (tornado, hail, wind, flash flood, heavy rain, winter, ice, coastal surge, hurricane, wildfire). Each address in the forecast footprint returns its structure replacement value, estimated people, storm type, forecast time and a risk label. Forecasts describe what could happen, not what will happen.
  • Model-Based Weather by Address: Conditions and Alerts. Current conditions and active severe-weather alerts for a street address or coordinates.
  • Model-Based Hourly Forecast by Address, 1 to 48 Hours. Hourly forecast rows for a street address or coordinates.

History (recorded events)

  • Storm History by Address, Reported Events Since 2003. Every reported and radar-detected event near an address, by peril, with date, type, magnitude and distance. A record, not a damage assessment.
  • Past Storm Leads by Address, Last 365 Days. Addresses where storms were reported and radar-detected in the last year, with date, type and size.

Every result is flat, timestamped and carries a reference ID. Free previews show counts and the estimated cost before you pay. Not affiliated with NOAA or the National Weather Service.

Public Actors