Look up a landlord's full portfolio before you sign a lease. Explore code violations, ownership patterns, and building histories — all from public municipal data, on a shareable map.
This is a tool for renters and housing advocates, not property managers. Import publicly available city data — property assessments, violation records, ownership registries — and make it searchable on a map that anyone can explore without an account.
Upload property assessment CSVs from your city's open-data portal. Addresses are geocoded and placed on the map with violation counts, owner names, and building class codes.
Search by address or owner name. Filter by violation count, building class, zip code, or owner-occupied status. Click any property to see its full record.
The analytics dashboard aggregates properties and violations by owner, ward, or zip code. See which landlords have the most violations at a glance.
Generate a public link. Anyone can explore the full dataset on the map — no account needed. Share with neighbors, journalists, or city council.
Search any address to see its violation history, owner, and building class before signing a lease.
See every property a landlord owns and their total violation count across the portfolio.
Spot geographic concentration of code violations, unsafe buildings, and rental cert issues that tables cannot reveal.
Publish the map with a single click. Visitors explore the full dataset without creating an account.
Import ward or neighborhood polygons as reference layers for spatial context and filtering.
Export filtered data for external analysis, FOIL requests, or journalism.
Look up a property or landlord before signing a lease. See violation history and ownership records on a public map — no account needed.
Explore violation patterns by owner and ward. Build spatial evidence for housing campaigns and policy advocacy.
Research a landlord's full portfolio across a city. Export data for stories and public interest reporting.
Import and maintain municipal datasets. Configure views, filters, and aggregations for ongoing analysis.