AeroDataBox · Schema
ModelFlightTimeEnum
Models of calculating the flight time.
Possible values:
- 0 - Standard: Standard model of calculation which takes into account the great circle distance and the average speed of all aircraft typically operating on those distances.
- 1 - ML01: Experimental machine learning (ML) model, which attempts to provide more accurate prediction of the flight time by taking into account the history of flights on specified route and aircraft type within the recent year. This may come in handy in case when on certain routes flights take significant detours due to extended airspace closures dictated by war conflicts, sanction regulations, etc. This can result in significantly increased flight times comparing to regular estimations. Or, some routes generally experience longer delays than other routes of the same distance. This model attempts to take such factors into account and reflect it in the prediction. If a model cannot be applied due to lack of historical and/or aircraft data or prediction is too off set, it automatically fallbacks to `Standard`.
AviationFlightsAerospaceFlight DataAirport Data
JSON Schema
Work with this as data
Every JSON Schema here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for schemas
4 MCP tools reach this
find_json_schemasBrowse and filter every JSON Schema in the catalog.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.
Call it yourself
curl for this page
This JSON Schema
curl "https://apis.io/api/v1/json-schemas/aerodatabox-modelflighttimeenum"
All schemas
curl "https://apis.io/api/v1/json-schemas?limit=25"
Discovery needs no key. Ratings and market analysis are Pro.