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Airport Distance & Flight Metrics Calculator
x402
Airport Distance & Flight Metrics Calculator is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-13).
Calculates great-circle distance, bearing, approximate flight time, and economy-class CO2 emissions between two airports identified by IATA or ICAO code.
Price / call$0.003
Success—
StatusUnknown
How this service works
Great-circle distance between two airports by IATA or ICAO code in km, miles and nautical miles, bearing, approximate flight time and estimated economy-class CO2 per passenger.
Output
Returns a JSON object with full metadata for both origin and destination airports (name, city, country, IATA/ICAO codes, coordinates, altitude, region, whether regular flights operate), plus the great-circle distance in km, miles, and nautical miles, the initial compass bearing in degrees, approximate flight time in hours, and estimated economy-class CO2 emissions per passenger in kg. Includes a note that real-world routes are typically 3–8% longer than the straight-line distance.
Example use cases
Carbon footprint check before booking
“I'm thinking of flying from London Heathrow (LHR) to Singapore Changi (SIN) — how far is that trip and what's the approximate CO2 per passenger in economy class?”
Flight time estimate for itinerary planning
“Can you tell me the approximate flight duration and great-circle distance in km between LAX and NRT, and what direction the plane would initially fly?”
Nautical miles for aviation route planning
“What's the great-circle distance in nautical miles between Dubai International (DXB) and Sydney Kingsford Smith (SYD), and what's the initial bearing?”
Technical details
Endpoint
POSThttps://api.vextorium.com/distancia-aeropuertos-pago?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need aviation-specific distance calculations between airports using standard IATA or ICAO codes, especially when you also need bearing, flight time estimates, or CO2 emissions data in a single call. Prefer it over generic geospatial distance APIs when working with named airports rather than raw coordinates.
Side effects
- Unknown or invalid IATA/ICAO code returns an error or null airport data
- Closed or private airports with no regular flights may return vuelos_regulares: false
- Network timeouts may occur for slow upstream lookups
- Missing 'origen' or 'destino' fields result in a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| origen | string | |
| destino | string |
Output
Schema · Response
{
"type": "json",
"example": {
"nota": "Distancia en línea recta; la ruta real suele ser un 3-8 % más larga. CO2 orientativo.",
"origen": {
"lat": 40.493407,
"lon": -3.572249,
"iata": "MAD",
"icao": "LEMD",
"pais": "ES",
"tipo": "grande",
"ciudad": "Madrid",
"nombre": "Adolfo Suárez Madrid–Barajas Airport",
"region": "ES-MD",
"altitud_m": 609,
"vuelos_regulares": true
},
"destino": {
"lat": 40.639447,
"lon": -73.779317,
"iata": "JFK",
"icao": "KJFK",
"pais": "US",
"tipo": "grande",
"ciudad": "New York",
"nombre": "John F. Kennedy International Airport",
"region": "US-NY",
"altitud_m": 4,
"vuelos_regulares": true
},
"distancia_km": 5775.071,
"distancia_millas": 3588.463,
"rumbo_inicial_grados": 294.7,
"tiempo_vuelo_aprox_h": 7.72,
"co2_pasajero_kg_aprox": 686,
"distancia_millas_nauticas": 3118.289
}
}Tags
x402
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