Download websites that use Riskified

About Riskified

Every online order is a bet that the card presented belongs to the person holding it, and past a certain volume that bet stops being a judgement call and becomes a modelling problem. Riskified sells the model. Under the Analytics label our data uses, it belongs to the narrower world of payment fraud screening, where the decision to approve or decline is made in the moment an order is placed.

The part a crawler can see is only the edge of such a system. Fraud decisioning happens server to server between the merchant and Riskified Ltd., and what appears on the page is a behavioural or device signal collector, a script whose job is to describe the browser and the session so the model has something to score. Detection therefore depends on the merchant loading that collector from a recognisable location. Merchants who proxy it through their own domain, or who gather signals in a mobile app rather than on the web, will not appear in our list at all.

As of October 2026 we detect Riskified on 51 sites, and the shape of the population is more interesting than its size. Fraud screening priced as a share of transactions only makes sense for merchants losing real money to chargebacks. A detection is consequently a strong signal about the site behind it, pointing to meaningful order volume, card not present sales and a category with a fraud problem, such as electronics, luxury goods, tickets or digital gift cards. Small shops rarely carry this class of technology, so the list works as a filter for scale even though scale is not what it measures.

Riskified Ltd. has been operating since 2012 under a Proprietary model, so every install corresponds to a contract rather than a download, and there is no open source variant to muddy the count. Contract driven populations have their own lag, since a script often survives the relationship that put it there, and a site that changed providers last quarter may still carry the old collector.

Three audiences want the whole set. Competing fraud and risk vendors want a qualified prospect list where every entry has already budgeted for the category. Payment providers and acquirers want to see which of their merchants layer a third party decision engine on top of their own tools. Researchers studying the economics of card not present fraud want a population of high risk retailers that nobody publishes anywhere else. Asking about one merchant is a lookup any browser extension can do. Asking which merchants across the web have decided fraud is worth outsourcing requires the crawl behind it.