Bot protection bypass for automotive and vehicle data
Vehicle marketplaces, valuation tools, and dealer-analytics platforms track inventory, vehicle history, and salvage-auction prices across protected sites where listings and bids change minute to minute. When the underlying data moves that fast, a feed is only valuable if it is genuinely current.
Sub-10 ms solves keep auction and inventory feeds fresh enough to act on, even when the source sits behind Kasada, DataDome, or Akamai.
Protection on automotive and auction sites
Automotive marketplaces and auction platforms run a mix of Kasada, DataDome, and Akamai Bot Manager. Kasada is particularly common here and is demanding to solve from scratch: it gates requests behind a per-request proof-of-work and x-kpsdk payloads, and increasingly pairs with Vercel BotID. DataDome and Akamai cover much of the rest of the space.
One API surface that solves all three means a feed can pull from several auction and inventory sources without maintaining a separate, brittle bypass for each protection stack.
Acting on fast-moving auction data
Salvage and wholesale auction prices move during the sale itself, so a valuation or arbitrage tool has to re-poll on a very short interval. HTTP solves with no browser cold-start keep that loop tight, and per-solve pricing keeps frequent re-polling across a large set of listings affordable.
When a marketplace updates its protection, the solver is patched centrally and the request shape is unchanged, so a live feed does not go dark while a challenge is re-implemented.
Products for this use case
Common questions
Answers for teams building in automotive & vehicle data. For a target-specific answer, ask the engineers directly.
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