Schools & Ratings
NCES, TEA, CDE and state-level district data
Vibe
Spatial imagery, road networks, and POI density
Environment
OpenAQ, DOT noise models, EPA hazard layers
Demographics
US Census Bureau and American Community Survey
Risk
FEMA NFHL flood zones and CALFIRE fire hazard tiers
Tools
Mapbox-powered geocoding for agentic workflows
Schools & Ratings
We provide comprehensive, location-based school data, district boundaries, and performance metrics by harmonizing federal and state-level datasets.NCES Common Core of Data
Core administrative, enrollment, and demographic data for every public K-12 school in
the United States.
State Education Agencies
State-specific performance metrics and district boundaries from sources including the
Texas Education Agency (TEA) and California Department of Education (CDE).
Historical & Enhanced Context
We maintain current and historical data releases, further enriched from public school
websites and local aggregators for completeness.
Vibe
“Vibe” is fundamentally difficult to quantify. We solve this by fusing multiple geospatial and physical-world datasets to evaluate the lived experience of a neighborhood across five dimensions: Privacy, Walkability, Visual Appeal, Dog Friendliness, and Urban-Rural Character.Spatial Imagery & Road Networks
High-resolution overhead imagery and road network topologies reveal physical
neighborhood structure: tree canopy coverage, lot sizes, pavement density, and
sidewalk continuity.
Points of Interest (POIs)
We analyze the density and category mix of local businesses and amenities — parks,
cafes, pet stores, transit stops — to map lifestyle accessibility and neighborhood
character.
Visual Appeal, Privacy, and Dog Friendliness are Pro AI dimensions
computed via algorithmic synthesis of imagery and POI data. Scores represent
probabilistic estimates, not guaranteed physical conditions.
Environment
Our environmental dimensions are calculated using a complex fusion of sensory data, hazard reporting, and spatial intelligence.| Dimension | Primary Source | What We Measure |
|---|---|---|
| Air Quality | OpenAQ monitoring network | Consistency and severity of AQI readings over time |
| Noise Levels | US Dept. of Transportation (DOT) + live flight path modeling | Road, railroad, and aviation noise in decibels |
| Industrial Proximity | EPA Superfund data, spatial imagery, commercial POIs | Proximity to heavy industry, warehouses, and pollution sources |
Demographics
We leverage authoritative government data to provide block-group-level insights into the people who make up a neighborhood.US Census Bureau & ACS
Health Insurance Coverage and Population Age Profiles are derived strictly from the
most recent Census Bureau releases and the American Community Survey (ACS).
Ideological Lean
We responsibly model political lean by synthesizing Census demographics with aggregated
historical voting records and precinct-level data. Scores run from 1 (conservative) to
255 (liberal), with 128 as an even split.
Risk
We surface critical natural hazard data to help users understand the environmental liabilities of a specific location.Our risk model coverage is actively expanding. Current datasets cover CA and TX only.
Flood Risk
Derived directly from the FEMA National Flood Hazard Layer (NFHL), covering
coastal high-hazard zones (V/VE), 100-year (A/AE), and 500-year (X/B) floodplains
nationwide.
Fire Risk
Sourced from CALFIRE State Responsibility Area (SRA) hazard severity zone
designations. Currently available for California locations only. Scores range from
Severe (1) to no risk reported (255).
Tools: Geocoding
Single-Address Geocoder
Our
/tools/geocode-single endpoint is powered by the Mapbox Geocoding API. It
takes a free-text address or place name and returns a single, definitive lat/lon pair.
It is strictly designed for LLM and agentic workflows: agents geocode an address
once, then pass coordinates to our intelligence endpoints.