Hidden discrimination
Most users do not know that their price may be personalized and possibly inflated.
FairPeek uses an AI agent to test marketplaces and online services across different digital profiles, helping users detect personalized price inflation and possible algorithmic price discrimination.
Digital platforms can see far more than users realize: device type, purchase history, behavioral signals, region, language, and likely spending power inferred from indirect indicators. As a result, the same item or service may be shown at different prices to different users.
Most users do not know that their price may be personalized and possibly inflated.
The platform sees the whole picture, while the buyer cannot easily tell that better terms are shown to someone else.
It is difficult for an ordinary customer to manually compare prices across many devices, sessions, and user profiles.
FairPeek is an application and trust layer for digital commerce. It does not just compare prices — it models different user profiles and shows whether you, specifically, are being asked to pay more.
Automatically checks listings under different profiles: mobile devices, desktop, new users, loyal buyers, fresh sessions, and alternative network contexts.
Shows not only that a difference exists, but also its size, likely cause, and the more favorable purchase scenario.
Over time, FairPeek can become a transparency signal for marketplaces that are ready to prove fair pricing practices.
Simple for the user, sophisticated under the hood.
FairPeek takes a link or runs directly on top of a listing or product page.
The system simulates multiple user profiles and gathers the offers shown to other types of customers.
The app explains whether there are signs of profile-based price inflation and suggests a fairer purchase path.
“Not another cashback app and not a coupon aggregator. FairPeek is a transparency tool that shows when price depends not on the product, but on who you are to the algorithm.”
The product can launch first as a B2C application and later expand toward B2B analytics, journalism, and consumer rights use cases.
People who want to know whether they are overpaying because of their device, purchase history, or digital footprint.
Teams investigating algorithmic discrimination, marketplace practices, and manipulation in digital pricing.
Companies that want to prove their storefront does not rely on unfair profile-based price inflation.
FairPeek should feel like a trusted ally: calm, technical, evidence-based, and genuinely on the user's side.
Smart simplicity, digital clarity, confident but not sensational. Not “scandal and outrage,” but “here are the facts, here is the difference, here is what to do.”
Dark technical backgrounds, cool trust-driven colors, and bright accents only where benefit or warning must be highlighted. Calm analysis contrasted with an emotionally important problem.
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