Insurance and the Loss Dataset
Why it is in the ecosystem. The end of the assurance chain: insurable. Insurers currently price agent risk with no loss data at all; the de-identified labelled corpus is the accident book they will price from.
This becomes real with fleet customers. Partners deliver the policies; DETENT delivers the data. What is below is the real pipeline run at demo volume: de-identified aggregates from the testnet corpus, no owner, no address, no amount.
What an insurer sees
reading the corpus
Losses by label type
SIMULATED SCALEthe axes are real and the bars are empty. tour 2 fills the first one.
By attack class
SIMULATED SCALEOver time
SIMULATED SCALEWhat the extract holds
- counts by outcome label and by attack class
- labels per day over the window
- the five-label taxonomy, so a reader can check the columns
- the scale tag, in the file, not only on the page
- no owner, no agent key, no address
- no amounts: receipts do not carry them
- no receipt hashes: aggregates only
Insurers price agent risk today with no loss data at all. This is the shape of the first dataset that could change that: an accident book where every entry traces to a signed receipt and a stamped outcome. The shape ships now. The volume comes with fleets.