Listing data surfaces risk signals that static property records cannot capture: vacancy, investor conversion, turnover, distress.
Property insurance underwriting in Canada traditionally relies on assessment data, claims history, and property inspection reports. These inputs describe the property as it was at a point in time. They do not describe what the property is doing right now.
Weekly listing data introduces a dynamic risk layer. A property that has just listed for sale is a property with a household in transition. A property that has sat on the market for months with multiple price reductions is showing distress signals. A property that sold and then appeared as a rental listing shortly after is likely converting from owner-occupied to investor-held.
Each of these signals has underwriting implications that static property records cannot capture.
An empty house is a higher risk than an occupied one. Pipes freeze. Maintenance lapses. Break-ins increase. Most insurers require notification when a property will be vacant for more than 30 days.
Listing data provides leading indicators of vacancy. A property listed for sale with no corresponding rental listing is likely being vacated. A property that has been on the market for months with no activity may already be vacant. A property that sold and has not yet relisted or appeared in rental listings is in a transition period with elevated vacancy risk.
When an owner-occupied property sells and then appears as a rental listing, the occupancy profile has changed. Tenant-occupied properties have different risk characteristics than owner-occupied ones: different maintenance patterns, different liability exposure, different loss frequency.
BrightCat tracks thousands of confirmed instances of properties that sold and then appeared as rental listings within months. This sale-to-rent conversion signal identifies investor activity at the property level, without relying on self-reported ownership status.
Properties that transact multiple times within a short window may indicate speculative activity. A property purchased, held briefly, and relisted at a higher price may have undergone undisclosed renovations or may be involved in value inflation schemes.
Repeat-sale data identifies these patterns. When the same property appears in two transactions within a short window, the pair is flagged. The price differential between the two sales, combined with any listing gaps, provides a signal that underwriting teams can evaluate.
Underwriting is not a one-time event. The risk profile of an insured property changes when it lists for sale, when it sits on the market for extended periods, when it sells to a new owner, or when it converts from residential to rental use.
Weekly property data enables continuous portfolio monitoring. Instead of waiting for a claims event or a policy renewal to discover that an insured property has changed hands, listing data surfaces the change as it happens.
BrightCat delivers property intelligence via Snowflake Marketplace, Snowflake Secure Data Share, MCP connector for AI-native workflows, and structured flat files. Data is refreshed weekly. Coverage spans all ten Canadian provinces.
See the signals for yourself — real data, updated weekly.