global network · unfiltered data
Open ADS-B data
a global network
born in Italy
About 3,200 receivers all over the world send us their ADS-B and Mode-S data directly. We compute the multilateration ourselves and filter nothing: military, PIA and LADD aircraft stay in.
What we collect
| Global ADS-B | Almost all of it comes from receivers that send us their data directly, in Europe, the Americas, Asia and Oceania. A small share comes from ADSBHub and OGN. | picture · 0.5 s |
| Our own MLAT | Our server works out the position of aircraft that don’t transmit full ADS-B, military included, from the times their signals reach the receivers. How many receivers, with the date → | mlat-ng · port 30100 |
| Mode-S BDS50/BDS60 | True airspeed, magnetic heading and Mach number from Mode-S Comm-B replies. With them, the weather32 research, now complete, worked out the wind at altitude. | BDS50 · BDS60 |
Research
From aircraft messages to wind research
Upper-troposphere wind measurement from aircraft in flight
We used airliners as sensors of the wind at altitude: we worked out the wind from Mode-S messages (BDS50/BDS60) and compared it with ERA5 reanalysis and IASI satellite profiles. The project is complete; method and results are on the research page.
Developers & AI agents
Query the data via API or from your AI
Public REST API and an MCP server for Claude, ChatGPT and other agents. The free key arrives by email right away, with no approval; plans start at €9/month when you need more volume. See also llms.txt.
find_aircraft Look up by ICAO hex, callsign or registration
aircraft_near Aircraft within a radius, anywhere in the world
special_traffic Military, PIA or LADD traffic
aircraft_history One aircraft’s tracks for a day, since 2022
observed_flights Flight history: where a callsign flies, an aircraft’s flight log, airport departures and arrivals
aircraft_profile One aircraft’s profile: identity, live status, tracks summary
overflights Overflights: the aircraft that passed over a point, and when
notable_traffic Emergencies and notable aircraft in an area
watched_aircraft Your watched aircraft, for takeoff and landing alerts (Fleet)
fleet_status Your watched aircraft's flights today (Fleet)
set_my_location Your saved position, for “near me”
How to connect it to Claude or ChatGPT, and the map in the chat →
Contribute
Join the network
With a Raspberry Pi, an RTL-SDR dongle and an antenna (about €55–110) you send your receiver’s data to the network. In return you get the API with Pro’s limits and features, free, and Lightcone, which shows the aircraft that passed near you and you did not receive, and how you compare with nearby receivers.