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PropertyLens — National US property intelligence panel delivered as an API: 3,200-plus attributes per property across residential, commercial, industrial, multifamily, agricultural and undeveloped land, covering 158M-plus addresses with triple-sourced property characteristics, a permit history of over 600M permits double-sourced across 95 percent of US jurisdictions, AI-generated condition scores, replacement-cost estimates, title history, valuations, system ages, roof imagery, past damaging-event history, and peril and risk scores claiming better than 90 percent model accuracy. Two layers mu…
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National US property intelligence panel delivered as an API: 3,200-plus attributes per property across residential, commercial, industrial, multifamily, agricultural and undeveloped land, covering 158M-plus addresses with triple-sourced property characteristics, a permit history of over 600M permits double-sourced across 95 percent of US jurisdictions, AI-generated condition scores, replacement-cost estimates, title history, valuations, system ages, roof imagery, past damaging-event history, and peril and risk scores claiming better than 90 percent model accuracy. Two layers must be distinguished. The underlying characteristics and permits are aggregated from third-party sources and are only resold, not owned. The genuinely proprietary asset is the derived layer the company computes itself: the condition-scoring models, the peril and hazard models, the replacement-cost engine, and the cross-source reconciliation logic that decides which of three conflicting sources wins for a given attribute at a given address - which is itself a labelled conflict-resolution dataset nobody else holds.
From 2 yearsCoverage FinancialsAsset class Equities · Fixed income
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PropertyLens — National US property intelligence panel delivered as an API: 3,200-plus attributes per property across residential, commercial, industrial, multifamily, agricultural and undeveloped land, covering 158M-plus addresses with triple-sourced property characteristics, a permit history of over 600M permits double-sourced across 95 percent of US jurisdictions, AI-generated condition scores, replacement-cost estimates, title history, valuations, system ages, roof imagery, past damaging-event history, and peril and risk scores claiming better than 90 percent model accuracy. Two layers mu…
PropertyLens offers (Alternative, Geospatial, Reference, ESG) — Stated at scale rather than estimated: over 600M permit records double-sourced across 95 percent of US jurisdictions, property characteristics triple-sourced for 158M-plus addresses, 3,200-plus data points per property, and 25-plus discrete data products. Multiplied out, the characteristic panel is on the order of hundreds of billions of attribute-value cells, and the derived score and event layers add hundreds of millions of computed records on top.
Automated property underwriting and instance-based rating for insurers and MGAs; training and validation of computer-vision roof and damage models against permit-verified ground truth; building AI underwriting agents, which is the reason an MCP server exists as a first-class access path; construction-cost and depreciation modelling from permit-derived system ages; actuarial validation of peril model accuracy against realised claims; property condition prediction for real-estate investment screening; catastrophe accumulation and annual-aggregation refresh at portfolio scale; benchmarking legacy property data vendors on freshness and accuracy
The data is with 2 years of history.
Coverage spans US; Financial Exchanges & Data, Property & Casualty Insurance; alternative, geospatial, reference, ESG; equities, fixed_income.
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