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Generate spatial probability distributions for missing person scenarios. Given a search area, behavioural profile, and environmental conditions, returns per-hex scores across an H3 grid — telling you where to look first. Supports three area types: circle (centre + radius), polygon (GeoJSON), or buffered path (LineString + buffer). Weather is fetched automatically unless overridden or disabled.

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Example prompts

  • “Predict the most likely locations for a despondent 75-year-old last seen heading south from this point”
  • “Run a prediction for a dementia patient, age 80, in this 2km radius area”
  • “Generate a search priority map for this polygon area, the subject was last seen at 10pm”
  • “Predict with heavy rain and strong wind conditions for this search area”

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What you get back

A list of H3 hexagons ranked by score (0–30, highest first), along with the model version used, total hex count, processing time, and a confidence level indicating how well the model performs in that region.