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Research Preview — Predictions are generated from behavioural models that have not yet been fully validated against real-world outcomes. Access is granted on request — contact support@footstep.ai.
Generate spatial probability distributions for missing person scenarios. Given a last known position, a behavioural profile (age, condition, possible intent), and a search area, predict returns a probability-ranked grid covering that area — so search teams can prioritise the highest-likelihood ground. The search area can be a circle (centre + radius), a polygon (GeoJSON), or a buffered path (LineString + buffer width). Weather and time-of-day are folded in automatically; weather can be overridden with explicit conditions or disabled entirely.

Authorizations

x-api-key
string
header
required

Your Footstep API key

Body

application/json
profile
enum<string>
required

Behavioural profile id. Must be one of the listed values.

Available options:
despondent,
dementia_alzheimers
area
object
required

Search area — circle, polygon, or buffered path

params
object
required

Response

Prediction results with per-hex probabilities

profile
string
required

The profile used for this prediction

model_version
string
required

Model version that produced the prediction

results
object[]
required

Per-hex predictions sorted by score (highest first)

summary
object
required
confidence
enum<string>
required

Model confidence level for the search area

Available options:
high,
medium,
low