Abstract: There are provided systems and methods for a machine learning-based network trained to perform risk assessment through device data. A service provider server receives device data of a user device associated with a merchant account registered with a merchant server for a merchant service, and receives, from the merchant server, a request containing a unique token identifier for initiating a risk assessment operation to generate a device assessment score for the user device, where the device assessment score indicates a level of risk between the user device and the merchant account. The service provider server selects a risk assessment engine to perform the risk assessment operation and generates the device assessment score and a narrative for the device assessment score, and sends, to the merchant server through an application programming interface, a message containing a unique device identifier for the user device, the device assessment score and the narrative.

Abstract: A method may include operations including, receiving, at an application program interface (API) of a third party computing system, an API call related to a dispute associated with a user of an electronic device, the call being received from an electronic device to invoke a dispute resolution to the dispute. The method may include communicating, by the API in response to the API call, dispute information to dispute resolution intelligence of the third-party computing system. The method may include determining, by the dispute resolution intelligence based on the dispute information, the decision with respect to the dispute, and providing the decision to a callback interface in response to the dispute information having been received from the API. The method may additionally include communicating, by the callback interface to the electronic device identified in response to the dispute information having been received from the API, the decision to the dispute resolution.

Abstract: There are provided systems and methods for a machine learning-based network trained to perform risk assessment through device data. A service provider server receives device data of a user device associated with a merchant account registered with a merchant server for a merchant service, and receives, from the merchant server, a request containing a unique token identifier for initiating a risk assessment operation to generate a device assessment score for the user device, where the device assessment score indicates a level of risk between the user device and the merchant account. The service provider server selects a risk assessment engine to perform the risk assessment operation and generates the device assessment score and a narrative for the device assessment score, and sends, to the merchant server through an application programming interface, a message containing a unique device identifier for the user device, the device assessment score and the narrative.

Abstract: There are provided systems and methods for a machine learning-based network trained to perform risk assessment through device data. A service provider server receives device data of a user device associated with a merchant account registered with a merchant server for a merchant service, and receives, from the merchant server, a request containing a unique token identifier for initiating a risk assessment operation to generate a device assessment score for the user device, where the device assessment score indicates a level of risk between the user device and the merchant account. The service provider server selects a risk assessment engine to perform the risk assessment operation and generates the device assessment score and a narrative for the device assessment score, and sends, to the merchant server through an application programming interface, a message containing a unique device identifier for the user device, the device assessment score and the narrative.

Abstract: A method may include operations including, receiving, at an application program interface (API) of a third party computing system, an API call related to a dispute associated with a user of an electronic device, the call being received from an electronic device to invoke a dispute resolution to the dispute. The method may include communicating, by the API in response to the API call, dispute information to dispute resolution intelligence of the third-party computing system. The method may include determining, by the dispute resolution intelligence based on the dispute information, the decision with respect to the dispute, and providing the decision to a callback interface in response to the dispute information having been received from the API. The method may additionally include communicating, by the callback interface to the electronic device identified in response to the dispute information having been received from the API, the decision to the dispute resolution.