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GET
/
api
/
score
Risk Score
curl --request GET \
  --url https://app.airrating.io/api/score
{
  "score": 123,
  "score_linear": 123,
  "score_ml": 123,
  "ml_available": true,
  "label": "<string>",
  "recommendation": "<string>",
  "input": {},
  "stats": {
    "delay_rate_pct": 123,
    "cancel_rate_pct": 123,
    "avg_delay_min": 123,
    "n_flights": 123,
    "confidence_pct": 123,
    "congestion_dep": 123,
    "congestion_arr": 123,
    "ml_probability": 123
  },
  "components": [
    {
      "key": "<string>",
      "name": "<string>",
      "value": 123,
      "label": "<string>",
      "contribution": 123
    }
  ],
  "weather_dep": {
    "score": 123,
    "condition": "<string>",
    "temp": 123,
    "wind": 123,
    "precip": 123
  },
  "weather_arr": {},
  "data_source": "<string>",
  "airline_info": {},
  "origin_info": {},
  "dest_info": {},
  "news": [
    {}
  ]
}

​
Overview

The core endpoint. Returns a Risk Score (0–100) for a given route, airline, and date, along with historical statistics, weather data, risk drivers, and an optional news feed.

​
Request

​
origin
string
required
IATA code of the departure airport (e.g. FCO, LHR, JFK).
​
dest
string
required
IATA code of the arrival airport.
​
airline
string
required
IATA airline code (e.g. AZ for ITA Airways, BA for British Airways).
​
date
string
required
Departure date in YYYY-MM-DD format.
​
news
boolean
default:"false"
If true, includes a live news feed of disruption reports for the route in the response.
​
api_key
string
required
Your API key.

​
Response

​
score
integer
Risk Score from 0 (lowest risk) to 100 (highest risk).
​
score_linear
integer
Statistical-only score before ML blending.
​
score_ml
integer
ML model prediction (0–100). null if model unavailable.
​
ml_available
boolean
Whether the ML model contributed to this score.
​
label
string
Human-readable risk label: Low, Moderate, High, or Very High.
​
recommendation
string
One-sentence actionable recommendation based on the risk level and top driver.
​
input
object
Echo of the query parameters: origin, destination, airline, flight_date.
​
stats
object
Historical statistics for this route/airline combination.
​
components
array
Sorted list of risk factor contributions (highest first).
​
weather_dep
object
Weather risk at the departure airport for the requested date.
​
weather_arr
object
Weather risk at the arrival airport. Same structure as weather_dep.
​
data_source
string
Which data tier was used: exact (origin+dest+airline match), route_any_airline (fallback — any airline on the route), or no_data.
​
airline_info
object
Airline metadata: name (full name), country.
​
origin_info
object
Airport metadata for origin: name, city, country.
​
dest_info
object
Airport metadata for destination: name, city, country.
​
news
array
Present only when news=true. Array of disruption reports — see Route News for the item schema.

​
Example

curl "https://app.airrating.io/api/score?origin=FCO&dest=LHR&airline=AZ&date=2026-04-10&api_key=YOUR_API_KEY"
Response
{
  "score": 62,
  "score_linear": 65,
  "score_ml": 52,
  "ml_available": true,
  "label": "High",
  "recommendation": "Elevated risk — check alternatives. Main driver: Historical Delay Rate.",
  "input": {
    "origin": "FCO",
    "destination": "LHR",
    "airline": "AZ",
    "flight_date": "2026-04-10"
  },
  "stats": {
    "delay_rate_pct": 31.0,
    "cancel_rate_pct": 4.2,
    "avg_delay_min": 28.4,
    "n_flights": 312,
    "confidence_pct": 84,
    "congestion_dep": 0.52,
    "congestion_arr": 0.78,
    "ml_probability": 38.0
  },
  "components": [
    { "key": "delay_rate", "name": "Historical Delay Rate", "value": 0.31, "label": "High", "contribution": 18.6 },
    { "key": "congestion", "name": "Airport Congestion", "value": 0.65, "label": "Moderate", "contribution": 9.75 },
    { "key": "weather", "name": "Weather", "value": 0.22, "label": "Low", "contribution": 4.4 },
    { "key": "seasonality", "name": "Seasonality", "value": 0.3, "label": "Low", "contribution": 3.0 }
  ],
  "weather_dep": { "score": 0.18, "condition": "Partly cloudy", "temp": 14.0, "wind": 22.0, "precip": 0.0 },
  "weather_arr": { "score": 0.27, "condition": "Rain", "temp": 10.0, "wind": 35.0, "precip": 2.1 },
  "data_source": "exact",
  "data_provider": "aviation_edge",
  "airline_info": { "name": "ITA Airways", "country": "Italy" },
  "origin_info": { "name": "Leonardo da Vinci–Fiumicino Airport", "city": "Rome", "country": "Italy" },
  "dest_info": { "name": "Heathrow Airport", "city": "London", "country": "United Kingdom" }
}

​
Score interpretation

ScoreLabelRecommendation
0–30LowSafe to book, low historical delay rate
31–55ModerateSome risk — consider flexible fare and monitor closer to departure
56–74HighElevated risk — check alternatives or add buffer time
75–100Very HighHigh disruption probability — evaluate alternatives

​
Scoring formula

score = 70% × statistical_score + 30% × ml_probability × min(1.0, confidence × 2)
The ML weight reduces automatically when historical data volume is low (confidence_pct < 50), keeping the score grounded in observed outcomes.