Use case

EmergencyAPI for insurance

Know which policyholders are inside an active fire or flood zone before the calls start, and model the risk afterwards from the same source.

The problem

When a bushfire, flood, or storm hits, insurers need to know which policyholders are affected. Manually checking eight different state emergency websites is slow and error-prone. By the time you have a clear picture, customer calls are already flooding in.

Historical data for underwriting and risk modelling is even harder to access. Government feeds are real-time only, with no archive.

How EmergencyAPI helps

  • Proximity search: Query incidents within a radius of any address or coordinate. Know which policyholders are in an active fire zone.
  • Real-time severity: CAP-AU style severity, urgency, and certainty fields. Triage claims based on warning level.
  • Bounding box queries: Draw a box around your portfolio coverage area and get only relevant incidents.
  • Historical archive: 4.8 million archived incidents for risk modelling and underwriting analysis.
  • All hazards: Bushfires, floods, storms, earthquakes, cyclones. One integration covers everything.
  • Event boundary polygons: Fire perimeters and flood extents as polygons via /v1/events. See exactly which areas are impacted, not just incident points.
  • Spatial clustering:Related incidents grouped into events. 300 satellite detections become "1 fire event affecting 6 suburbs, 2,400 hectares."

What people build with it

  • Automated claims triage during disaster events
  • Portfolio exposure monitoring (real-time alerts when incidents occur near insured properties)
  • Underwriting risk scoring using historical incident density
  • Catastrophe modelling with granular incident-level data
  • Regulatory reporting with standardised data formats