Drone Delivery · Autonomous Vehicles · FAA Airspace

Go/no-go for every
delivery address.
One call. FAA-sourced.

GeoClear returns FAA airspace classification, drone deliverability flag, and estimated landing zone confidence for any US address — the pre-flight check your dispatch system needs before a drone leaves the ground.

See full API docs →
GET /v1/address · 200 OK · 4ms
{ "drone_deliverable" true "airspace_class" "G" "faa_uasfm_class" "G" "airspace_ceiling_ft" 400 "landing_zone_confidence" 0.87 "address_type" "residential" "latitude" 33.4484 "longitude" -112.074 "address_confidence" 0.96 "_flags" { "controlled_airspace" false "no_fly_zone" false "safe_for_autonomous" true } }

Everything your dispatch system needs to decide.

No chart parsing. No UASFM tile lookups. No manual cross-referencing. GeoClear returns all three signals in a single JSON response, ready to wire into pre-flight logic.

FAA Airspace Class
UASFM-sourced classification

Returns Class A–G and UAS Facility Map classification for the address location. Class G below 400 ft is clear for Part 107 autonomous operations without a waiver. Updated from FAA quarterly releases — always current, never stale.

Drone Deliverability Flag
Binary go/no-go for dispatch

A single drone_deliverable: true/false derived from airspace class, address type, and landing zone confidence. Integrate directly into dispatch logic — no airspace chart parsing required.

Landing Zone Confidence
Scored 0–1 per address

Estimated probability of a safe, clear landing area at the delivery address. Based on address type (residential/commercial), parcel geometry, and address placement precision. Use as a routing signal for edge cases where a go/no-go alone isn’t enough.

From 30 sec per address to <5ms.

Manual airspace verification doesn’t scale. GeoClear plugs into your dispatch pipeline as a single API call and returns everything your routing layer needs to make a go/no-go decision automatically.

Pre-GeoClear dispatch flow
1
Pull FAA SUA map manually from FAA.gov for each delivery region
2
Cross-reference address coordinates against UASFM tile grid
3
Estimate landing zone from street view or satellite imagery review
4
30+ seconds per address — unworkable for batch manifests
5
No API. No automation. Requires a trained operator for every decision
With GeoClear
1
One API call per address — airspace class + drone flag + coordinates in a single response
2
<5ms server-side latency. Batch your full delivery manifest in seconds before the dispatch window opens
3
FAA-sourced data, updated quarterly. No stale tile caches. No manual refresh required
4
Dispatch-system ready JSON — wire drone_deliverable directly into your routing logic
Every address in your manifest checked before a single drone is dispatched. Automatically.

Built for the teams that move goods autonomously.

From last-mile drone fleets to sidewalk robots, GeoClear serves any operator that needs address-level airspace data at scale.

🚀
Last-mile drone delivery
e.g. Wing, Amazon Prime Air, Zipline

Batch pre-flight checks for entire delivery manifests before the dispatch window opens. GeoClear processes hundreds of addresses per second, returning a deliverability flag for each. Your dispatch system makes go/no-go decisions automatically — no operator review required for standard Class G addresses.

🤖
Autonomous ground vehicles
e.g. Starship, Serve Robotics, Nuro

Sidewalk robots and self-driving delivery vehicles use address_confidence and landing_zone_confidence to route to a safe handoff zone when the primary delivery point is ambiguous. Precise geocoordinates from 120M+ verified addresses mean your vehicle arrives at the correct location, not the nearest intersection.

📷
Drone survey & inspection
e.g. utility, construction, insurance

Airspace class determines whether FAA authorization is required before flight. GeoClear tells you upfront whether a site inspection address sits in controlled airspace — so your field teams know to file a LAANC waiver before mobilizing, not after arriving on site.

One request. Drone-ready fields in the response.

Pass your delivery address. Get back everything you need for pre-flight go/no-go in a single JSON response. No post-processing. No external lookups.

bash
# Pre-flight check — single delivery address curl "https://geoclear.io/v1/address?street=456+Maple+Ave&city=Phoenix&state=AZ&key=YOUR_KEY" # Response (drone-relevant fields) "drone_deliverable" true # go/no-go for dispatch "airspace_class" "G" # FAA Class A–G "faa_uasfm_class" "G" # UAS Facility Map class "airspace_ceiling_ft" 400 # max altitude without waiver "landing_zone_confidence" 0.87 # 0–1 probability of clear landing "address_confidence" 0.96 # geocoding precision "latitude" 33.4484 # exact delivery coordinates "longitude" -112.074 "_flags" "controlled_airspace" false "no_fly_zone" false "safe_for_autonomous" true # Batch check — full manifest (Professional tier) curl -X POST "https://geoclear.io/v1/batch" \ -H "Authorization: Bearer YOUR_KEY" \ -H "Content-Type: application/json" \ -d '{"addresses":[{"street":"456 Maple Ave","city":"Phoenix","state":"AZ"}]}'
🔒
Drone deliverability and airspace classification require the Professional plan ($499/mo). All enrichment fields, batch processing, and priority support included. Free plan includes address lookup and geocoordinates — see full tier comparison →

Pre-check your next delivery manifest.

Start with 10,000 free lookups. No credit card required. Upgrade to Professional for drone deliverability, airspace classification, and batch manifest checks.

Read the docs