Underwriting and claims teams need location risk context at scale. CrimeLayer delivers batch enrichment, state aggregates, and ZIP-level lookup from a single transparent API.
Manually assessing neighborhood risk works for one address. It breaks down across thousands of policies.
Pulling area context one policy at a time can't keep pace with quoting volume or portfolio reviews.
Different analysts use different data, so risk scores aren't comparable across regions or over time.
Incumbent risk vendors require six-figure contracts and proprietary formats for what should be a clean API feed.
Send a batch of locations, get back a consistent safety score and grade for each — sourced from the same FBI UCR baseline nationwide.
POST up to 100 city/state pairs per request. Loop for larger portfolios with simple pagination.
Each location returns a normalized safety score, letter grade, and crime rate — apples-to-apples across your book.
Pipe the JSON into your underwriting workflow, scoring engine, or BI dashboards. Provenance metadata travels with every record.
Enrich quoting pipelines and portfolio reviews at scale. One request, one consistent scoring model, hundreds of locations.
Drill down to a ZIP code or roll up to a state average — match the granularity your risk model needs.
Every score uses the same documented per-state ranking, so risk is consistent across your entire book.
Data year, source, and coverage metadata accompany each result — ready for audit and model governance.
CrimeLayer provides aggregate neighborhood context, not consumer reports. Our Acceptable Use Policy explicitly excludes FCRA-regulated decisions — use it for portfolio risk intelligence, not individual adverse action.
Backed by transparent, public data sources:
Enterprise plans include higher volume, batch limits, and an SLA. Tell us about your use case.