Flight APIs

The Future of Flight APIs, Powered by AI

At Spyface, we don’t just provide flight APIs—we deliver AI-powered aviation intelligence that redefines how travelers explore, book, and experience air travel.

Unlike traditional API providers, we embed advanced machine learning, predictive modeling, and real-time data synthesis at every step of the journey. Our Flight API suite offers access to 400+ global airlines, with personalized search, predictive pricing, smart routing, and real-time disruption management through a developer-friendly RESTful architecture.

✈️ What Makes Us Different?

• 🔮 Predictive Intelligence: Forecast delays, suggest optimal booking windows, and detect fare volatility in advance.
• 🧠 Smart Search Engine: Personalized results using traveler behavior, seasonality, and fare modeling.
• 🌐 Global Reach + Hyperlocal Context: Enhance routes with event-based demand, weather risk, and political alerts.
• 📊 Real-Time Operational Awareness: AI-driven gate changes, delay risk scoring, and live disruption alerts.
• 🛬 Seamless Integration: REST/JSON APIs, AI-enhanced developer tools, and full documentation.

🔧 Featured APIs – AI Enhanced

• 🛫 AI-FlightSearch™: Learns from user journeys to predict route success. Includes fuzzy matching, flexibility prediction, and contextual scoring.
• 🗕 PricePredictor™ API: Deep learning forecasts price movement 30 days ahead with 90%+ confidence.
• 📍 SmartAirport & CityMatch API: Travel advisory, airport crowd forecasts, and usage ranking included.
• 📈 LiveOps Status+: ML-modeled gate and delay tracking with airline-aware logic.
• 💬 Conversational Booking API: Voice or chat-based NLP flight booking with AI agent integration (Beta).

🧪 Try It Now: Start Building in Minutes

1. Sign up and get your AI-secured API key
2. Access our full Flight Intelligence Developer Portal
3. Follow the step-by-step tutorial to launch your booking engine in under 60 minutes
4. Test with AI-augmented sample data and monitor performance via the Insights Dashboard

🌐 Sample API Response (JSON)

This futuristic example includes AI-derived fare predictions, delay probability, and sentiment-enhanced routing logic.

{
  "traveler": {
    "id": "TRAV_8745",
    "origin": "NYC",
    "destination": "LON",
    "departure_window": "2025-08-05 to 2025-08-09",
    "preferences": ["eco-friendly", "nonstop", "under 600 USD"]
  },
  "ai_insights": {
    "best_day_to_book": "2025-07-23",
    "predicted_price_range_usd": [510, 560],
    "delay_risk_score": 0.13,
    "booking_sentiment_score": 0.91
  },
  "recommended_itinerary": {
    "flight_number": "BA112",
    "airline": "British Airways",
    "aircraft": "Boeing 777",
    "departure": "2025-08-07T18:45:00",
    "arrival": "2025-08-08T06:30:00",
    "fare": 528.75,
    "co2_kg": 134,
    "eco_index": 8.4
  },
  "meta": {
    "api_version": "v5.0.0",
    "response_time_ms": 94,
    "timestamp": "2025-07-20T19:55:00Z"
  }
}