Amadeus Airport On-Time Performance

Name: Airport On-Time Performance API
Brand: Airport On-Time Performance
Availability: InStock

✓ Official Vendor SpecData EnrichmentData Transformationoauth21 Endpoints

Install Jentic One Beta

Connect the Airport On-Time Performance to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Airport On-Time Performance, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Airport On-Time Performance API.

Predict the on-time departure probability for an airport on a future date

Compare predicted reliability across alternative connecting airports

Flag itineraries with high disruption risk before booking confirmation

GET STARTED

Start building with Airport On-Time Performance API

Explore with Jentic

View OpenAPI Document

For Agents

Predict on-time departure probability for a given airport and date. Agents call /airport/predictions/on-time to flag risky itineraries before booking.

Use for: I want to check whether flights from JFK are likely to leave on time tomorrow, Find the on-time performance prediction for Heathrow on a specific date, Get the probability that flights depart on time from CDG next Monday, Check whether a connection through Frankfurt is risky on my travel date

Not supported: Does not return per-flight delays, live flight status, or arrival predictions — use for predicted on-time departures from a single airport on a single date only.

Use Cases

Patterns agents use Airport On-Time Performance API for, with concrete tasks.

★ Connection Risk Assessment

When a traveller is choosing between two itineraries, surface the predicted on-time performance of the connecting airport on the travel date. The /airport/predictions/on-time endpoint returns a probability score that can be displayed alongside layover duration, so the user knows whether a 60-minute connection at a low-reliability airport is sensible. This is more accurate than static airport rankings because the prediction reflects the specific date.

Call /airport/predictions/on-time for ORD on 2026-09-15 and report the on-time probability score.

Travel Insurance Pricing

Travel insurers and trip-protection products can price disruption coverage using the predicted on-time score for the departure and connecting airports. A higher predicted reliability lowers the expected payout for missed-connection cover, which feeds directly into a dynamic premium. The single-endpoint design keeps the call cheap enough to run inline at quote time.

Fetch on-time predictions for FRA and IAD on 2026-10-04 and feed both scores into the premium calculation.

Operations Buffer Planning

Corporate travel managers planning multi-leg itineraries can use predicted on-time scores to decide whether to recommend a longer ground-transfer buffer. A predicted reliability below a threshold triggers the booking tool to require at least 2 hours between flights, reducing disruption tickets opened with the support team.

Look up the on-time score for the user's connecting airport and require a 2-hour buffer if the score falls below 0.7.

Agent Itinerary Advisor

An AI travel agent comparing two itineraries can call the prediction endpoint for each connecting airport to recommend the more reliable route. Through Jentic the agent searches for 'predict airport on-time performance', loads the schema, and runs the lookup against each candidate hub. The agent then summarises the trade-off between price and reliability for the user.

Use Jentic to call the on-time prediction endpoint for each of two candidate connecting airports and recommend the higher-scoring option.

Key Endpoints

1 endpoints — the amadeus airport on-time performance api predicts the probability that flights from a given airport will depart on time on a specified date.

METHOD

PATH

DESCRIPTION

GET

/airport/predictions/on-time

Predict on-time departure probability for an airport

GET

/airport/predictions/on-time

Predict on-time departure probability for an airport

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

Your Amadeus client_id and client_secret are stored once, encrypted, by your own Jentic One instance, which runs the client_credentials exchange and injects a fresh bearer token at execution time. The raw secret never enters the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'check whether flights from JFK are likely to depart on time tomorrow', and Jentic returns the /airport/predictions/on-time operation with its input schema so the agent supplies the airport code and date without reading the Amadeus docs first.

Time to first call

FAQs

Specific to using Airport On-Time Performance API through Jentic.

What authentication does the Airport On-Time Performance API use?

The API uses the Amadeus OAuth 2.0 client-credentials flow. Exchange API key and secret at the Amadeus token endpoint and send the bearer token on the /airport/predictions/on-time request. Jentic keeps the credentials in the encrypted vault and refreshes the token automatically.

What does the on-time probability score represent?

The score is the predicted likelihood that flights departing the supplied airport on the supplied date will leave on time. It is a forward-looking estimate derived from historical performance, not a record of past flights, so it is most useful for itineraries that have not yet been flown.

What are the rate limits for the Airport On-Time Performance API?

Rate limits are not declared in the OpenAPI spec and depend on the Amadeus contract tier. The endpoint is read-only and cacheable for the same airport and date, so cache aggressively to stay under the per-second cap for your account.

How do I check on-time risk for a flight through Jentic?

Run pip install jentic, then use the search query 'predict airport on-time performance'. Jentic returns the /airport/predictions/on-time operation, you load the schema, supply airportCode and date, and execute. The score can then drive a recommendation in your itinerary UI.

Can I get a per-flight prediction or only per-airport?

This endpoint is per-airport per-date — it predicts overall on-time performance for departures from the supplied airport. For per-flight delay predictions Amadeus offers a separate Flight Delay Prediction API that takes a specific carrier, route, and departure time.

Is the Airport On-Time Performance API free?

Amadeus self-service APIs include a free test environment with quota limits and a paid production tier. Production pricing depends on transaction volume and is set by contract — confirm current rates in the Amadeus self-service developer portal.