A fully-modeled town: Raleigh, NC (27613)
Every footprint carries drone & augmented-reality preferences, served live from the public API. It shows what a completely registered suburb looks like to a drone, UTM, or AR operator — the airport, protected land, city parks, schools, and ~1,800 residential lots.
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A planning tool queries one endpoint and gets machine-readable preferences for an entire area — each footprint with a drone and AR preference, optional activity categories, an advisory note, and optional time windows. The same contract scales from one place to the whole registry.
GET https://airspaceregistry.org/api/v1/demo/preferences?region=raleighView raw GeoJSON ↗These are live endpoints, not screenshots — no key required. This area query returns a GeoJSON FeatureCollection; the same dataset also answers a single point (/api/v1/demo/resolve?lat=&lon=) and a point in time (&datetime=), returning the governing record — a preference or a reference to an existing rule — as informational metadata, not a go/no-go. See the API docs for all three.
Preferences are informational and voluntary — a metadata layer. They are not enforceable and are not permissions.