Roof replacement date

Current Nearmap-owned property intelligence and risk-management platform for insurers, with UI, REST API, SFTP, external warehouse, and core-system delivery. Nearmap's current legal terms let a licensee submit arbitrary property addresses and retrieve property information; the API supports arrays of addresses or coordinates and as-of dates. The full response documents imagery capture dates and per-building roof-age objects with an explicit `changed` boolean, before/after date array, age, installation date, evidence category, and capture count. Because the request and roof outputs are nested/repeated, they are retained in Source prose and not flattened into Features.

Current commercial U.S. residential- and commercial-property roof-age solution, formerly CAPE Analytics and now Moody's. It compares historical and current high-resolution aerial imagery using machine-learning change detection to identify a full roof replacement, and provides roof age in years, year of last full replacement, a confidence score, and related imagery. The current Moody's page explicitly offers API, batch-processing, and CAPE web-application access and states 95% accuracy.

Distinct US-only commercial API product predicting residential and commercial roof installation date and age from Nearmap imagery, Gen 6 AI, climate, permits, and assessor data. It accepts an address object or polygon AOI and can return the latest or a specified historical resource. Repeated GeoJSON feature results document installationDate, asOfDate, evidenceType/evidenceTypeDescription, min/max captures, before/after installation captures, numberOfCaptures, permit/assessor flags, and explicit multiple-images-with-change or no-change categories. Those nested feature-array values are preserved in prose rather than flattened; only top-level scalar response/request fields are proposed as Features.

Current commercial U.S. property-specific roof-age solution combining roof permits, more than 20 years of aerial imagery, computer-vision change detection, property context, and regional climate factors. It returns a roof-age result with confidence and can identify verified replacement dates or establish a minimum age when no material change is observed. ZestyAI claims approximately 95% U.S.-property coverage and approximately 92% accuracy. Public pages establish current licensed insurer use and portfolio-scale evaluation, but do not expose a product-specific public API/file contract; consumption-mode booleans remain conservative.