Amadeus Flight Choice Prediction

Name: Flight Choice Prediction API
Brand: Flight Choice Prediction
Availability: InStock

✓ Official Vendor SpecAI/MLMl Inferenceoauth21 EndpointsREST

Install Jentic One Beta

Connect the Flight Choice Prediction to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Flight Choice Prediction, 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 Flight Choice Prediction API.

Score each flight offer in a search response with a per-offer choice probability

Re-rank a list of flight offers from cheapest-first to most-likely-to-be-chosen

Filter long flight-offer result sets down to the top predicted choices before showing them to a user

GET STARTED

Start building with Flight Choice Prediction API

Explore with Jentic

View OpenAPI Document

For Agents

Score Amadeus flight offers with a per-offer probability that the traveller will choose them, so an agent can re-rank or pre-select the best option before pricing or booking.

Use for: Score these flight offers by likelihood the user will book them, Re-rank Amadeus flight offers using choice probability, Find the most likely flight offer the traveller will pick, I want to predict which flight offer wins in a list of search results

Not supported: Does not search for flights, confirm prices, or create bookings - use only to score an existing list of Amadeus flight offers with choice probability.

Use Cases

Patterns agents use Flight Choice Prediction API for, with concrete tasks.

★ Re-rank Flight Search Results

After calling Flight Offers Search, post the offers to /shopping/flight-offers/prediction to receive the same offers annotated with a choice probability. Travel sites use this to replace a default cheapest-first sort with a likelihood-of-purchase sort, which typically reduces the number of options the traveller has to compare and shortens time to booking.

Take the JSON response from a Flight Offers Search call, POST it to /shopping/flight-offers/prediction, and return the top 3 offers ordered by descending probability.

Cut Down Long Itinerary Lists

Online travel agencies often receive 50-200 offers per route. By scoring the offers with the prediction endpoint and keeping only those above a probability threshold, a booking funnel can show 5-10 high-relevance options instead of an overwhelming list. The endpoint accepts the full search response unchanged, so integration is a single extra POST call.

Filter a 100-offer Flight Offers Search response down to offers with predicted probability greater than 0.05 and return them sorted by probability.

Pre-Select a Recommended Flight

On a results page, highlight one offer as recommended by passing the search response through the prediction endpoint and selecting the offer with the highest probability. The API does not change the offer payload itself, only adds a probability field, so the same offer can be passed straight into Flight Offers Price or Flight Create Orders without further translation.

Pick the single offer with the highest probability from a Flight Offers Search response and pass it forward to /shopping/flight-offers/pricing for confirmation.

Agent-Driven Itinerary Recommendation via Jentic

An AI agent that helps a user book a flight can call Amadeus Flight Offers Search, then call Flight Choice Prediction through Jentic to score the results, and present only the top-ranked option to the user with a short rationale. Jentic resolves the OAuth 2.0 client_credentials flow against Amadeus and returns a structured tool, so the agent does not need to manage tokens itself.

Call jentic.search('predict the best Amadeus flight offer'), load the returned operation, and execute it with a Flight Offers Search response as the body to retrieve the top-scored offer.

Key Endpoints

1 endpoints — the amadeus flight choice prediction api scores a list of flight offers with the probability that a traveller will pick each option.

METHOD

PATH

DESCRIPTION

POST

/shopping/flight-offers/prediction

Score a list of flight offers with a per-offer choice probability

POST

/shopping/flight-offers/prediction

Score a list of flight offers with a per-offer choice probability

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 'predict which flight offer the traveller will pick', and Jentic returns the /shopping/flight-offers/prediction operation with its input schema so the agent posts the offers and reads the probabilities without browsing the Amadeus docs.

Time to first call

FAQs

Specific to using Flight Choice Prediction API through Jentic.

What authentication does the Flight Choice Prediction API use?

The API requires an Amadeus Self-Service OAuth 2.0 access token obtained via the client_credentials flow against https://api.amadeus.com/v1/security/oauth2/token, then passed as a Bearer token on the prediction call. Through Jentic, the Amadeus client_id and client_secret are stored in the encrypted vault and the access token is fetched and refreshed automatically, so the agent only sees a scoped tool reference.

Can I score flight offers I did not get from Amadeus with this API?

No. The /shopping/flight-offers/prediction endpoint expects the exact JSON shape returned by Amadeus Flight Offers Search, including its internal offer ids, segments, and travelerPricings. Pass the search response straight into the prediction call unmodified.

What are the rate limits for the Flight Choice Prediction API?

Amadeus Self-Service applies tiered limits per API key. The Test environment is capped at 10 transactions per second per endpoint and a fixed monthly quota; Production limits depend on your Self-Service plan and are listed in the Amadeus developer portal. Bearer tokens themselves expire after roughly 30 minutes.

How do I score a Flight Offers Search response through Jentic?

Run pip install jentic, then call jentic.search('predict the best Amadeus flight offer'), load the returned operation, and execute it with the body field set to the JSON returned by your earlier Flight Offers Search call. Jentic handles the OAuth token exchange and POSTs to /shopping/flight-offers/prediction on your behalf.

Is the Flight Choice Prediction API free?

The Test environment is free with limited monthly quota. Production access is metered per transaction under an Amadeus Self-Service plan; pricing is published on the Amadeus for Developers portal and depends on monthly volume.

Does the prediction endpoint change the flight offer payload?

No. It returns the same offers you sent in, with an added probability value per offer. You can pass any selected offer directly to Flight Offers Price or Flight Create Orders without translation.

Can I limit what my agent is allowed to do with the Flight Choice Prediction API?

Yes. Because your Jentic One instance is self-hosted, you write the rules that decide which operations and credentials the agent may use. Since this API scopes by operation, you can allow only the flight-offers prediction call that scores a set of offers with a choice probability, and the agent cannot reach any search, pricing, or booking operation unless you add it. Your Amadeus client credentials stay with your instance, so the agent only ever sees the scoped tool you granted it.