Abstract: A system to allocate resources via information technology infrastructure is described. A server includes processors to provide to a plurality of devices, an electronic benefits account transaction application programming interface (“API”) configured to receive transaction requests from a plurality of heterogeneous electronic funding sources. The server can receive a request to initiate a single transaction to fund an electronics benefit account. The server can transmit data in an alert format indicating a denial of the single request responsive to a comparison of a value to one or more threshold limits.

Abstract: Generating real-time trigger-based digital feed is provided. A system receives events indicating modifications for candidate electronic transactions. The system selects a participant object including a support service identifier. The system filters the events based on a metric. The system ranks the opportunity objects based on a second metric. The system receives a selection of a ranked opportunity object, and generate a link.

Abstract: At least one aspect of this technical solution is directed to a system for generating a multi-factorial real-time predictive model for healthcare events, with a data processing system comprising memory and one or more processors to obtain a condition metric and a condition period associated with a participant object, generate, based on a model trained using historical condition-service data, a first participation metric for the participant object based on a participant service associated with the condition metric and the participant object, aggregate the first participation metric and the condition period into a first aggregated participation metric, receive, via a computing device associated with the participant object, a selection of an opportunity object associated with the condition metric, the opportunity object corresponding to an opportunity event provided via a third-party application that interfaces with the data processing system, generate, based on the model and the selection of the opportunity obj

Abstract: At least one aspect of this technical solution is directed to a system for invoking account opportunities for support accounts, the system including a data processing system comprising memory and one or more processors to receive, from one or more external data sources, a plurality of opportunity events indicating modifications for candidate electronic transactions, select, in response to receipt of the plurality of opportunity events, a participant object including a support service identifier associated with a support service, and a participant service identifier associated with a participant service, filter the plurality of opportunity events based at least on a first opportunity metric associated with the participant object to construct a plurality of opportunity objects, rank the plurality of opportunity objects based at least on a determination that the opportunity object satisfies a second opportunity metric associated with the participant object, transmit, to a computing device linked with the partici

Abstract: At least one aspect of this technical solution is directed to a system for generating a multi-factorial real-time predictive model for healthcare events, with a data processing system comprising memory and one or more processors to obtain a condition metric and a condition period associated with a participant object, generate, based on a model trained using historical condition-service data, a first participation metric for the participant object based on a participant service associated with the condition metric and the participant object, aggregate the first participation metric and the condition period into a first aggregated participation metric, receive, via a computing device associated with the participant object, a selection of an opportunity object associated with the condition metric, the opportunity object corresponding to an opportunity event provided via a third-party application that interfaces with the data processing system, generate, based on the model and the selection of the opportunity obj

Abstract: Example implementations, include a system for generating a metric-based digital feed performance model, with a data processing system comprising memory and one or more processors to obtain an opportunity object for a participant service identifier generated by an opportunity engine of the data processing system based on a participant object, transmit, to a client computing device, the opportunity object responsive to the opportunity object satisfying an opportunity condition, receive, via an interface of the client computing device, an indication of a selection of the opportunity object, identify, responsive to the indication of the selection, an opportunity execution heuristic, execute, responsive to a determination that the opportunity execution heuristic satisfies an opportunity condition heuristic, the opportunity object, and modify, responsive to the execution of the opportunity object, a performance metric associated with the participant object configured to trigger an alert to improve performance.

Abstract: At least one aspect of this technical solution is directed to a system for invoking account opportunities for support accounts, the system including a data processing system comprising memory and one or more processors to receive, from one or more external data sources, a plurality of opportunity events indicating modifications for candidate electronic transactions, select, in response to receipt of the plurality of opportunity events, a participant object including a support service identifier associated with a support service, and a participant service identifier associated with a participant service, filter the plurality of opportunity events based at least on a first opportunity metric associated with the participant object to construct a plurality of opportunity objects, rank the plurality of opportunity objects based at least on a determination that the opportunity object satisfies a second opportunity metric associated with the participant object, transmit, to a computing device linked with the partici

Abstract: At least one aspect of this technical solution is directed to a system for generating a multi-factorial real-time predictive model for healthcare events, with a data processing system comprising memory and one or more processors to obtain a condition metric and a condition period associated with a participant object, generate, based on a model trained using historical condition-service data, a first participation metric for the participant object based on a participant service associated with the condition metric and the participant object, aggregate the first participation metric and the condition period into a first aggregated participation metric, receive, via a computing device associated with the participant object, a selection of an opportunity object associated with the condition metric, the opportunity object corresponding to an opportunity event provided via a third-party application that interfaces with the data processing system, generate, based on the model and the selection of the opportunity obj