OAG Aviation Data and Flight Information REST API
OAG aviation data REST API for airlines, travel agencies, airports, corporate travel managers, and travel technology companies to access global flight schedules, airline route data, on-time performance statistics, codeshare information, and aviation analytics — enabling automated flight search, schedule management, travel planning, and airline benchmarking through OAG's comprehensive aviation intelligence database covering 1,000+ airlines and 4,000+ airports worldwide. Enables AI agents to manage flight schedules for airline timetable automation, handle route analysis for network planning intelligence automation, access on-time performance for airline punctuality analytics automation, retrieve codeshare for partner flight inventory automation, manage airport data for aviation hub information automation, handle airline data for carrier profile and fleet automation, access demand data for passenger flow analytics automation, retrieve historical flight for route performance benchmarking automation, manage connection for minimum connect time calculation automation, and integrate OAG with GDS, booking engines, and travel platforms for aviation data enrichment automation.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Aviation data. GDPR. API key. UK/EU. Flight schedule and airline network data.
⚡ Reliability
Best When
An airline, travel technology company, corporate travel manager, or airport authority wanting AI agents to access comprehensive global flight schedules, on-time performance data, and aviation analytics through OAG's gold-standard aviation intelligence platform.
Avoid When
DATA IS SCHEDULED, NOT LIVE: OAG schedules data is published airline timetables, not live flight positions; automated live flight tracking assumption creates static_schedule_only data; automated must use separate flight tracking API (FlightAware, FlightRadar24) for real-time position. SUBSCRIPTION TIER DETERMINES DATA DEPTH: OAG has multiple subscription tiers with different data depths and historical windows; automated all-data-access assumption creates data_not_available for out-of-tier content; automated must verify subscription tier covers required data depth. NOT A BOOKING ENGINE: OAG provides aviation data, not ticketing or GDS booking capability; automated booking assumption creates no_booking_functionality; automated must integrate with GDS or NDC airline direct API for actual ticketing. IATA CODES REQUIRED: OAG uses IATA airline and airport codes throughout; automated ICAO or plain text assumption creates code_not_found for non-IATA identifiers; automated must use proper IATA airline (2-letter) and airport (3-letter) codes.
Use Cases
- • Searching global flight schedules and availability for travel agency booking automation agents
- • Analyzing airline on-time performance for corporate travel policy optimization automation agents
- • Accessing route and codeshare data for OTA search and inventory management automation agents
- • Benchmarking airline network performance for aviation analytics and planning automation agents
Not For
- • Real-time pricing and booking (OAG is schedules and analytics, not ticketing or GDS booking)
- • Live flight tracking (OAG provides schedules, not real-time GPS position tracking like FlightAware)
- • Ground operations (OAG focuses on flight schedules and airline data, not airport operations)
Interface
Authentication
OAG uses API key for aviation data REST API authentication. REST API with JSON. London, UK HQ. Founded 1929. Products: Flight schedules (weekly/daily), On-time performance, Connections analyser, Traffic analyser, Airline and airport profiles. SDKs: None public. 1,000+ airlines, 4,000+ airports. Historical data since 1987. Used by airlines, GDS, airports, and travel tech. IATA strategic partner. Competes with Cirium (Diio/Innovata) for aviation data.
Pricing
London UK. Founded 1929. Annual subscription. 1,000+ airlines. Aviation data market leader.
Agent Metadata
Known Gotchas
- ⚠ SCHEDULE DATA HAS WEEKLY PUBLICATION CYCLE: OAG schedules are published weekly by airlines; automated real-time schedule assumption creates week-old data for future dates; automated must account for schedule publication lag and effective dates
- ⚠ IATA SEASON CODES ARE CRITICAL: OAG data uses IATA season codes (S25, W25) for schedule periods; automated date-only query assumption creates missing_season_context for cross-season queries; automated must specify correct IATA season for historical or future schedule queries
- ⚠ CODESHARE COMPLEXITY: Airline codeshare data requires understanding marketing vs. operating carrier relationships; automated single-carrier assumption creates incomplete inventory view for codeshare routes; automated must resolve codeshare operating carrier for actual flight operations
- ⚠ PAGINATION IS REQUIRED FOR LARGE DATASETS: Schedule queries across large route networks return paginated results; automated single-response assumption creates incomplete data for high-frequency routes; automated must implement pagination for complete schedule retrieval
- ⚠ DATA LICENSING RESTRICTS REDISTRIBUTION: OAG data is licensed for specific use cases; automated unrestricted redistribution assumption creates licensing violation; automated must comply with OAG data licensing terms for each use case
Alternatives
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Scores are editorial opinions as of 2026-03-07.