FourA

FourA — High-frequency airline and OTA fare observations captured from the collection platform: repeated price snapshots for the same city pair / carrier / cabin across multiple originating countries (location-varied pricing, e.g. London-New York quoted differently from UK, German and US egress), plus the platform's own per-host collection telemetry — success and block rates by target host, which proxy type and geographic exit location worked, and whether full browser rendering was required to surface the fare. Micro-scale collection infrastructure: 2-person Sofia startup, self-serve API, no …

FourA offers (Price, Alternative, Sentiment) — Est. millions of fare observations per month if the platform runs sustained customer jobs (a single monitored route family captured intraday across 3-5 source countries yields tens of thousands of observations monthly, before multiplying by route count); the sector benchmark cited is 600M+ data points per day industry-wide.

Airline revenue-management competitive monitoring; dynamic-pricing and elasticity research on observed fare change cadence; country-level price-discrimination studies for regulators and consumer advocates; metasearch and OTA price-accuracy validation; training fare-forecasting models on dense intraday price series; and labelling datasets for bot-detection and anti-abuse model training from the block/success telemetry

The data is with 0 years of history.

Coverage spans US, UK, Japan; IT Services, Airlines; price, alternative, sentiment; equities, fx.