空間的な精度でネットワークを効率的に展開
xMapの高度な分析機能を活用して、ネットワーク展開を最適化し、接続を確保し、広大な環境にわたってROIを最大化します。
98%
US parcel coverage
Hourly
98%
<60s
First agent query
99.95%
API uptime SLA
WHAT DATA SCIENTISTS USE xMAP FOR
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
5G Small Cell Siting
An agent queries building height, ownership, and zoning data simultaneously against a target coverage map shortlisting permittable rooftop and street-level sites, flagging ownership complexity, and ranking by signal propagation model inputs. What took RF engineers and real estate teams 6 weeks now runs overnight.
02
EV Charging Network Rollout
Agents score candidate locations by querying vehicle traffic volumes, dwell time (from mobility data), parcel accessibility, and competitor charging station proximity. Output: a ranked deployment sequence with projected utilization for each site.
03
Broadband Infrastructure Prioritization
Cross-reference demographic coverage gaps (income, device ownership) with existing infrastructure POI data to identify the highest-impact underserved zones for fiber or wireless broadband investment.
Ready to bring xMap into your models?
pip install xmap-sdk and first query in under 60 seconds.
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sales@xmap.ai
+1 (415) 800-3938
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