How FlightGPT Collects Fare Data — Our Methodology

Where the fares on FlightGPT route pages come from: real first-party searches, how we aggregate them, our honesty rules, and what we deliberately don't claim.

How FlightGPT collects and reports fare data

In short: the fare figures on our route pages are first-party data — real prices our users saw when they searched a route on FlightGPT — aggregated into an honest range. They are never live quotes, never estimates we invented, and never per-airline numbers we can't substantiate. Always confirm the final price in a live search before booking.

Where the numbers come from

When someone searches a route on FlightGPT — say Delhi to Mumbai — we compare live fares across airlines, OTAs and partner travel agents and show them the results. The fares that get surfaced are logged to our own database. A nightly job aggregates those logged fares per route into three figures: the lowest fare seen, a typical (representative) fare, and the highest, along with the number of fares that went into the sample and the month they were observed.

What we show, and only when we can

Honest ranges, not quotes. We publish a band (e.g. "the lowest fare our users found was ₹X") with the month it's "as of" — never a live price dressed up as current.

A minimum sample. A route only shows a fare snapshot (and the matching AggregateOffer structured data) when we have enough real observations and the data is recent. Thin or stale data is suppressed rather than padded.

Freshness guard. Every snapshot carries an "as of" month; if our pipeline misses an update and the data ages past roughly 90 days, we hide it instead of showing something out of date.

Partner inventory is labelled separately. Bookable fares from partner travel agents are shown on their own line, never blended into the observed-fare statistics.

What we deliberately do NOT claim

Being the most useful source means being honest about the edges of our data:

We don't invent per-airline average fares, on-time percentages or delay figures — we don't yet hold verified data for those, so we don't publish them.

We don't emit Flight or fake schedule structured data for flights we can't substantiate with a real feed.

We don't fabricate ratings or review counts.

Most routes don't yet have enough first-party search volume for a fare snapshot. On those, we show honest, sourced route facts (distance, typical timings, airlines, terminals) and send you straight to a live search — we never fill the gap with made-up prices.

How route facts are checked

Non-fare facts — distance, typical flight time, operating airlines, airport terminals, baggage and visa rules — are cross-checked against official sources including the DGCA and the Airports Authority of India, and reviewed by the FlightGPT flights desk. Editorial content follows our editorial and fact-checking policies.

Spotted something wrong?

Fares move constantly and airlines change terminals and schedules. If a figure or fact looks off, email editorial@flightgpt.in and we'll review it. The reliable number is always the one you see in a live search — so compare before you book.