⚖ Risk signal for pricing & reserving. Basis: —
Credibility — building as exposure grows.
Methodology. Risk index 0–100 (high-risk share + harsh & overspeed per 100 km) · premium loading = risk index × 0.4 · bands: safe ≥ 80 · watch 60–79 · risk < 60. Frequency only — loss / severity pending claims data.
Portfolio split by behavioural band — safe ≥ 80 · watch 60–79 · risk < 60.
Exposure-normalised behavioural event frequency across the whole portfolio.
Frequency only — loss / severity pending claims data.
Severity-weighted event exposure inside each operational geofence — worst first.
| Zone | Limit | Events | Weighted severity | Top event kinds |
|---|---|---|---|---|
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Risk grouped by route tag — the association-level view an underwriter prices on. Worst first.
| Route | Vehicles | km | Avg score | Harsh /100km | Overspeed /100km |
|---|---|---|---|---|---|
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What an insurer/UMA actually consumes: vehicle-level CSV for the actuary's model, or the raw JSON feed for a pricing pipeline.
Demo wallet ledger only — P2P payments are licence-gated and post-density per the deck. The real revenue is subscriptions + this page's data feed.
| When | Rider | Type | Amount | To / from | Note |
|---|---|---|---|---|---|
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Operator/vehicle density is the compounding asset — each rung is funded by the wedge below it and unlocks the next.
⚖ Only Safety + Underwriting are built today; each rung is funded by the wedge below it and unlocks as density builds.