Geospatial data providing precise building footprints and boundaries for locations.
API Access
Est. Price
~$10,000/yr est.
Update Frequency
Monthly
Pricing Tiers
1
Regions
1
Quality SignalsB
Freshness
Recently enriched
Complete
81%
API
API Available
Product Overview
Geospatial Intelligence$$
Offering: Global point-of-interest (POI) data, building footprints, and mobility metrics delivered via API and cloud-based data feeds.
Best for: Retailers and logistics firms requiring high-accuracy business location data in emerging and international markets.
Benefits
- Superior coverage in emerging markets
- High-frequency data verification via human-in-the-loop AI
- Flexible delivery options including direct cloud shares and API
- Comprehensive building polygon and mobility datasets
Drawbacks
⚠ Less brand recognition in domestic US markets compared to Foursquare · ⚠ Smaller ecosystem of developer tools compared to premium location intelligence platformsProduct Intelligence
Value Score
35
quality per $
Price Position
P70
premium
Coverage
23
geo × freq × depth
Try-ability
15
ease of trial
Market concentration: 18% (moderate)
Product Details
Use Cases
spatial analyticsreal estatesite planninglogistics
Categories
Geospatial DataLocation IntelligencePoint of Interest (POI) DataMapping
Coverage
North America
Delivery
APIS3 bucket
Data Sources
satellite imagery
Detected Use Cases
geospatial analyticsreal estatesupply chain
Pricing Tiers
Vedex estimate
~$10,000/yr est.
SUBSCRIPTIONMEDIUM
Add to Data Room
Get an instant price estimate based on your organization profile — seats, usage rights, and contract term.Estimated ~$10,000/yr est.
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Web Authority
High Authority12 mentions·4 platforms
Academic Papers
8 × 8 pts+64
Reddit
2 × 3 pts+6
LinkedIn
1 × 2 pts+2
Blogs & Newsletters
1 × 2 pts+2
Evidence5 sources
Academic Papers
Non-Uniform Spatial Alignment Errors in sUAS Imagery ...
Due to the sparse and non-visual nature of building polygon data and the way it is being utilized in this work, “alignment” represents the most ...
Academic Papers
Non-Uniform Spatial Alignment Errors in sUAS Imagery From ...
Due to the sparse and non-visual nature of building polygon data and the way it is being utilized in this work, “alignment” represents the most appropriate ...
Academic Papers
Spatially explicit accuracy assessment of deep learning
by JH Uhl · 2023 · Cited by 9 — MTBF-33 building polygon data to an intermediate spatial resolution of 2 m, aligned to (and nested within) the. GHS-BUILT-S2 grid, and then aggregated these ...Read mor
Data Dictionary
Expected fields and columns in this data product
About Building Polygon Data
Building Polygon Data is a geospatial data data product offered by dataplor, available on discovery. Data is updated monthly. API access is available for programmatic integration. Vedex estimates pricing at roughly $10,000/yr (an estimate, not a vendor-published price).
Geospatial data providing precise building footprints and boundaries for locations.
About dataplor
dataplor is a data provider vendor based in USA. dataplor is a global location intelligence company that provides high-quality, verified point-of-interest (POI) data to help businesses understand the physical world. By leveraging a combination of AI...
Related Data Categories
Geospatial DataLocation IntelligencePoint of Interest (POI) DataMapping