Transaction data repository for risk analysis

摘要

Systems and methods are presented for determining risk levels for consumer-to-consumer (C2C) transactions on brokering websites. The risk levels can be based on payment processing network (e.g. Visa) account data as well as external data, such as geo-location using IP addresses, fraud bureau data, and star ratings. The buying and selling consumers can have multiple risk scores for each transaction, such as a fraud, credit, return/chargeback, dissatisfaction, product misuse, nonreturnable, and defect risk scores. The buying and selling consumers can trade their risk levels before proceeding with the transaction.