Eliminate the 60-80% overhead before modeling starts.
Acquisition teams spend months acquiring, cleaning, and joining geographic data like census demographics, facility locations, transport access before they can answer basic questions about population health needs and service delivery gaps. xMap makes this data available as a single, agent-queryable layer, structured for immediate analytical use.
THE DATA
Every layer, analyst-ready.
Schema-stable, versioned, and built for ML feature engineering and statistical analysis.
📍
poi
Structured points of interest with category, brand, coordinates, hours. Schema-stable. Agent-ready.
🚗
car_traffic
Road segment volumes and speeds. Hourly resolution. Direction of travel. Timeseries for ML feature engineering.
📡
gps_mobility
Aggregated origin-destination flows, dwell time, visit frequency. Privacy-safe. Population-level.
🏛
parcel_data
Ownership, zoning, assessed value, structure type. 98% US coverage. Versioned snapshots for longitudinal analysis.
👥
demographics
Block-group level population, income, age, household composition. Joinable on GEOID. Updated on census cycle.
💻
sdk_access
Python, TypeScript, Go, Rust, Swift SDKs. Identical method names and response shapes. Full async support.
WORKFLOWS
The xMap Data Stack
01
Competitive Landscape Monitoring
An agent queries xMap's POI layer on a schedule to detect new competitor openings, closures, and rebrands in your defined market areas — alerting strategy and real estate teams before the news cycle.
02
Trade Area & Demand Sizing
Replace demographic estimation models with real GPS mobility data. xMap's trade area analysis gives you actual visitor origin distribution, not modeled catchment polygons — the difference between knowing where customers come from versus assuming it.
03
White Space Identification
Cross-reference your brand's location footprint against xMap's demand density and competition data to identify geographic markets where demand is high, competition is low, and your concept has maximum opportunity.
Ready to bring xMap into your models?
pip install xmap-sdk and first query in under 60 seconds.