Travelport Fare Watch Agent

What it does

Travelport Fare Watch Agent monitors flight prices via the Amadeus Flight Offers Search API and alerts corporate travel managers when prices drop below configured per-route thresholds. It compares current prices deterministically against thresholds, generates alerts, records price history to Google Sheets, and posts Slack notifications. An LLM synthesizes a narrative summary only; a deterministic template fallback applies with no LLM configured. Ships with full mock fixtures — no Amadeus credentials needed for testing. Built for corporate travel managers and travel ops teams who want automated fare monitoring instead of manually checking flight prices.

Example prompts

• Run the full fare watch check and alert me to any price drops
• Check current active price alerts for our tracked routes
• Get the price history for the NYC to London route
• Analyze these flight offers against our thresholds

Tools (7)

Tools the agent exposes — your AI client calls them automatically when it needs them.

• run_full — Run the fare watch agent end-to-end: collect current prices from Amadeus, compare against thresholds, generate alerts, return full AgentResult.
• analyze_prices — Given raw flight offer data, run pure deterministic threshold analysis and return scored findings. No LLM.
• check_alerts — Quick check: run the fare watch pipeline and return only active price alerts. Faster than run_full.
• get_route_history — Get price history for a specific route (mock fixture in test mode; Google Sheets in production).
• discover_intent — Understand your goal and co-design the exact input via clarifying questions before running.
• plan_inputs — Plan/brainstorm the inputs for a tool: returns questions, schema and a ready-to-edit example.
• list_capabilities — List the agent's static capabilities.