Part of Dataset Foundry — synthetic, documented, citable datasets across domains
Insurance
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The tool

Forge a health insurance dataset

Choose how many policy records you want and a seed. The same two numbers will always produce the same dataset — write the seed down and cite it in your methodology chapter.

Capped at 20,000 — the API generates synchronously (see ROADMAP.md Phase 1 for the planned async path beyond that).

Optional — leave both blank for the default (365 days from 2024-01-01). Policy start dates are spread across this range; end must be after start.

Two-stage additionally computes the claim cost for rows where a claim occurred — the claim_amount_ghs column only exists in this mode. Single-stage produces the claim-occurrence columns only (claim_occurred, claim_id, claim_category, claim_date are identical in both modes).

Advanced: customize the model

Same directional relationships described in the methodology — strengthen, weaken, or rebalance them here without touching any code. Defaults are illustrative, not derived from real health-utilization data.

Claim cost (severity)

Claim frequency — utilization loadings

Age is table-rated off the age-band claim-incidence anchor (not adjustable here); these loadings multiply on top of it. Raise or lower them to strengthen or weaken the chronic-condition/smoker/ BMI hypotheses.

Name field

Off by default — most statistical work has no use for a name column. This is a separate decision from the Country field above: that only decides which name pool a name would be drawn from, not whether this dataset has names in it at all.