Airline Data
Airline data,
built for modern
AI and systems.
Clean, structured, on-demand airline intelligence for organisations that need more than dashboards. Feed AI agents, revenue systems, and analytics teams with machine-ready data.
"price": 459,
"isPriceWithTax": true,
"pricePerStay": false,
"route": "LHR-JFK",
"carrier": "BA",
"cabin": "Business",
"ancillary": {
"baggage": 45,
"seatUpgrade": 18,
"insurance": 12
},
"source": "OTA",
"currency": "USD"
}
Why Agent-Ready
Your AI is only as good as the data you feed it.
Every data point includes full context, semantic field names, and metadata. No ambiguity. No guesswork. Just clean inputs for your AI agents and systems.
- Semantic field names Self-documenting data that machines can interpret instantly.
- Rich metadata Context around every price point for better decision-making.
- On-demand delivery High-frequency, on-demand extraction instead of stale batch updates.
Who It's For
Three cohorts. One data layer.
A single, simplified data story tailored to AI agents, RMS systems, and data teams.
Our Products
Our air travel data products.
From live retail rates to historical pricing and parity tracking — everything you need in one platform.
On-Demand Actual Rates API
Real, customer-facing prices pulled directly from airline sites, OTAs, and metasearch engines. This captures the true retail price customers actually see.
"origin": "JFK",
"destination": "LAX",
"date": "2026-04-15",
"airline": "AA",
"price": {
"amount": 289.00,
"currency": "USD"
},
"cabin": "Economy",
"availability": "available",
"scraped_at": "2026-03-27T14:23:00Z"
}
- Real-time price capture from live booking sites
- Seat-level pricing and ancillary visibility
- Flexible search parameters for any route
Filed (GDS) Data API
Comprehensive filed fare structure and rules data delivered in partnership with Travelport. Used alongside customer-facing data, it creates the ultimate dual-approach intelligence layer.
"fare_basis": "YRT70US",
"booking_code": "Y",
"rules": [
"cancellation": "Refundable",
"changes": "fee applies",
"advance_purchase": "7 days"
],
"carrier": "UA",
"validating_carrier": "UA",
"total_amount": 342.50
}
- Highly competitive cost per search
- Combines perfectly with live captured data
- Complete fare rules and structure visibility
Ancillary Intelligence
The industry's only standardised ancillary data source. We capture the full booking journey to extract hidden fees and enable true like-for-like competitor comparisons.
| Ancillary Type | Price | Airline |
|---|---|---|
| Checked Bag (1st) | $5 | United |
| Seat Selection | $25 | United |
| Priority Boarding | $15 | United |
| Checked Bag (1st) | $0 | Delta |
| Seat Selection | $0 | Delta |
- Baggage, seats, insurance, and other extras
- Delivered via data feeds or executive reports
- Makes hidden fees visible across competitors
- Full booking path visibility for true pricing
Historical Data
A powerful dataset with a full year of clean, standardised pricing history across routes and airlines, delivered in CSV or JSON.
- Daily or averaged pricing models
- Built for forecasting and seasonality analysis
- Ideal for ML pipelines and training data
- Clean, normalised, ready for analysis
Parity Detection
Designed to detect revenue leakage and undercutting in real time by tracking fare mismatches, hidden fees, and tax variations across channels.
- Detect discrepancies as they happen
- Flag hidden margin erosion across channels
- Reveal undercutting and tax inconsistencies
- Real-time alerting and reporting
Destination Intelligence
A unified multi-modal dataset combining hotel rates and airfares into one view to reveal true traveller demand, market pressure, and cross-vertical competitive shifts.
- Air + hotel demand in one dataset
- Surfaces market pressure and traveller intent
- Built for broader destination-level intelligence
- Cross-vertical competitive analysis
Data Access Layer
Consume data your way.
On-demand APIs for direct consumption, Shop Manager for configuration control, and
Vizly to interrogate your dataset.
"origin": "LHR",
"destination": "FRA",
"date": "2026-04-15"
}
Start feeding your AI
the right data.
Stop building on broken inputs. Start with clean, structured intelligence designed for airline use cases and modern machine workflows.