How RepuRate Protects Buyers and Sellers in Alpha

Trust and safety sit at the heart of RepuRate. Our Alpha launch introduces the first version of a system designed to reduce fraud, confirm real transactions, and help buyers and sellers build a verified track record across any platform. Even in this early stage, RepuRate includes multiple layers of protection aimed at creating transparency, certainty, and fairness in peer-to-peer exchanges.

Two-Way Transaction Confirmation

Every transaction in the Alpha version requires both parties to acknowledge the exchange. This two-way confirmation step immediately eliminates the biggest source of distrust in peer marketplaces: unverifiable claims that a deal occurred. Both users confirm the details before ratings or scores are applied, giving each side confidence that the other is participating in good faith.

Proof-of-Transaction Upload

RepuRate allows users to attach optional proof, such as a quick photo or screenshot of the item, payment confirmation, or conversation thread. While optional, this feature adds transparency and can become especially important when disputes or misunderstandings arise. It helps honest users differentiate themselves and contributes to a clearer reputation history.

Alias Privacy

Safety also means protecting user identity. In Alpha, every user interacts through a private, platform-generated alias rather than exposing emails, phone numbers, or personal handles. This keeps real-world identity secure while still allowing reputation to grow based on verified behavior.

Built-In Fraud Detection

Behind the scenes, RepuRate runs a series of early anomaly checks on every exchange. These include duplicate invite detection, timing irregularities, mismatched participants, suspicious patterns of reciprocal ratings, and early signals of burner-account behavior. While the fraud engine will evolve significantly in Beta, even the Alpha version is equipped to catch obvious manipulation attempts.

What We’re Monitoring During Alpha

During this phase, we are paying close attention to how users interact with each step of the verification and rating flow. Specifically, we want to understand:

• How intuitive the confirmation process feels
• How frequently users upload proof and why
• Edge cases or disputes that require clearer guidance
• Whether trust scores reflect actual reliability
• Any attempts at collusion or score manipulation

As we gather real feedback, we will continue refining the trust model, improving detection logic, and strengthening the protections that make RepuRate a safe and credible environment for peer-to-peer interactions. This is just the beginning, and we’re committed to building a reputation system that users can rely on long-term.