Address Standardization for Insurance Underwriting
Property insurance pricing depends on resolving a policyholder’s address to the exact insured property — flood zone, wildfire risk, and local building codes all vary by precise location.
The problem
Section titled “The problem”An address typed inconsistently on an application can be resolved to the wrong parcel or the wrong side of a risk-zone boundary, leading to mispriced policies and disputed claims down the line.
How address standardisation helps
Section titled “How address standardisation helps”Standardising applicant addresses into discrete components and canonical expansions gives underwriting and claims engines a deterministic key. Variations like "Ocean Dr" vs "Ocean Drive" and "Unit 3" vs "#3" resolve to the same canonical string, ensuring accurate risk assessment against flood, wildfire, and hazard zone maps.
Example
Section titled “Example”curl -X POST "https://api.goodvat.com/v1/address/normalize" \ -H "Authorization: Bearer $GOODVAT_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "query": "88 Ocean Drive Unit 3, Miami Beach FL 33139" }'{ "houseNumber": "88", "road": "ocean drive", "unit": "unit 3", "postcode": "33139", "city": "miami beach", "state": "fl", "country": "USA", "expansions": [ "88 ocean drive unit 3 miami beach fl 33139 usa", "88 ocean drive unit 3 miami beach florida 33139 usa" ]}Key response fields
Section titled “Key response fields”| Field | Why it matters here |
|---|---|
expansions | Canonical address strings for deterministic join lookups against property risk databases and parcel maps. |
houseNumber / road / unit | Resolves the policy to the exact insured unit, not just the parent parcel. |
postcode | Used to key into regional hazard and flood-map layers. |
state / country | Determines state-level insurance filing and regulatory compliance. |