Abstract: Example implementations include determining, based on participant objects input into a machine learning model, to transmit a query to a third-party application based on a machine learning model trained with historical data associated with opportunities provided by third-party applications, transmitting to a third-party application, the query constructed based on a template compatible with an application programming interface (“API”) of the third-party application, receiving a response from the third-party application including an event and a profile for a participant of a service provided by the third-party application, the profile linked with a participant object and generated in response to importing information associated with the profile from a third-party administrator device, the event indicative of an opportunity to reduce resource utilization, determining that the participant object satisfies a parameter of the event, and providing to a computing device of the participant object responsive to satisfac

Abstract: Example implementations include determining, based on participant objects input into a machine learning model, to transmit a query to a third-party application based on a machine learning model trained with historical data associated with opportunities provided by third-party applications, transmitting to a third-party application, the query constructed based on a template compatible with an application programming interface (“API”) of the third-party application, receiving a response from the third-party application including an event and a profile for a participant of a service provided by the third-party application, the profile linked with a participant object and generated in response to importing information associated with the profile from a third-party administrator device, the event indicative of an opportunity to reduce resource utilization, determining that the participant object satisfies a parameter of the event, and providing to a computing device of the participant object responsive to satisfac

Abstract: Example implementations include a system to present opportunities from third-party applications, with a data processing system comprising memory and one or more processors to identify, via an interface of the data processing system, a third-party application of a plurality of third-party applications configured with application programming interfaces (“APIs”) compatible with the interface of the data processing system, transmit, to the third-party application, a query constructed based on a template that is compatible with an API of the third-party application, receive, responsive to the query, a response from the third-party application comprising an opportunity event, select a participant object that satisfies one or more parameters associated with the opportunity event, and provide, to a computing device linked with the participant object, an indication of the opportunity event.

Abstract: Example implementations include a system to present opportunities from third-party applications, with a data processing system comprising memory and one or more processors to identify, via an interface of the data processing system, a third-party application of a plurality of third-party applications configured with application programming interfaces (“APIs”) compatible with the interface of the data processing system, transmit, to the third-party application, a query constructed based on a template that is compatible with an API of the third-party application, receive, responsive to the query, a response from the third-party application comprising an opportunity event, select a participant object that satisfies one or more parameters associated with the opportunity event, and provide, to a computing device linked with the participant object, an indication of the opportunity event.

Abstract: Systems and method of the present disclosure are directed to providing a geographical ticker of financial transactions. A mapping engine on a server receives a first set of transaction data within a first predetermined time window from a database that includes a monetary amount of a transaction and an entity at which each transaction. The mapping engine obtains a location of the entity for each transaction and displays, on a digital map and in a first time sequence corresponding to the first predetermined time window, an icon at each location for each transaction. The mapping engine displays, on the digital map and in one or more time sequences corresponding to one or more predetermined time windows subsequent to the first predetermined time window, an icon at each location for each transaction within one or more sets of transaction data corresponding to the one or more predetermined time windows.

Abstract: Systems and method of the present disclosure are directed to providing a geographical ticker of financial transactions. A mapping engine on a server receives a first set of transaction data within a first predetermined time window from a database that includes a monetary amount of a transaction and an entity at which each transaction. The mapping engine obtains a location of the entity for each transaction and displays, on a digital map and in a first time sequence corresponding to the first predetermined time window, an icon at each location for each transaction. The mapping engine displays, on the digital map and in one or more time sequences corresponding to one or more predetermined time windows subsequent to the first predetermined time window, an icon at each location for each transaction within one or more sets of transaction data corresponding to the one or more predetermined time windows.

Abstract: Systems and method of the present disclosure are directed to providing a geographical ticker of financial transactions. A mapping engine on a server receives a first set of transaction data within a first predetermined time window from a database that includes a monetary amount of a transaction and an entity at which each transaction. The mapping engine obtains a location of the entity for each transaction and displays, on a digital map and in a first time sequence corresponding to the first predetermined time window, an icon at each location for each transaction. The mapping engine displays, on the digital map and in one or more time sequences corresponding to one or more predetermined time windows subsequent to the first predetermined time window, an icon at each location for each transaction within one or more sets of transaction data corresponding to the one or more predetermined time windows.