Abstract: A system can determine that a service has been initiated for a user by a service provider. During performance or progress of the service, the system can receive location data points from a computing device operated by the user or the service provider and detect an occurrence of an event in connection with the service based on one or more of a set of received location data points, or an elapsed amount of time since the initiation of the service. In response to detecting the occurrence of the event, the system can determine a score that enables the transport to be monitored for unauthorized overuse.

Abstract: Techniques to determine accuracy in identification of fraudulent transactions. In one embodiment, indications from an analyst that financial transactions are fraudulent or not fraudulent are received to determine an error value. An error value may be a false positive error rate based on at least one of a weighted refund holdout, consensus disagreements, peer overturns, an appeal rate, excess negative actions, and a policy error rate. The error value may be a false negative error rate based on at least one of peer overturns, chargebacks, consensus disagreements, and excess passive actions. The false positive error rate is a rate at which the analyst incorrectly identifies the financial transactions as fraudulent and the false negative error rate is a rate at which the analyst incorrectly identifies the financial transactions as non-fraudulent.