Systems and methods for prediction of forward market renewable energy credit from automated agent behavioral data are disclosed. An example transaction-enabling system may include a forward market circuit to access a forward energy credit market, and a market forecasting circuit to automatically generate a forecast for a forward market price of an energy credit in the forward energy credit market, based in part on an automated agent behavior collected from an automated agent behavioral data source. The example system may further include wherein the energy credit comprises a renewable energy credit from a renewable energy system, and a smart contract circuit to sell the renewable energy credit or purchase the renewable energy credit on the forward energy credit market in response to the forecasted forward market price.

A transaction-enabling system is disclosed. The system may include a controller to interpret a behavioral data source and a resource utilization requirement for a task system having at least one of a compute task, a network task, or a core task. The controller may then operate a machine to forecast a forward market value for a resource in response to the resource utilization requirement and the behavioral data source. The controller then adjusts an operation of the task system or executes a transaction in response to the forecast of the forward market value for the resource.

Systems and methods for forward market purchase of machine resources using artificial intelligence are disclosed. An example transaction-enabling system may include a fleet of machines, each one of the fleet of machines having a resource requirement comprising at least one of a plurality of machine-related resources. The system may further include a controller including an artificial intelligence (AI) circuit to aggregate data for the plurality of machine-related resources from at least one data source comprising an external data source or an internal data source; an expert system circuit to configure a purchase of at least one of the plurality of machine-related resources; and a machine resource acquisition circuit to automatically solicit the configured purchase of the at least one of the plurality of machine-related resources in a forward market for at least one resource of the plurality of machine-related resources.

Transaction-enabled systems and methods for IP aggregation and transaction execution are disclosed. An example system may include a smart wrapper structured to aggregate intellectual property (IP) and a smart contract wrapper, wherein the smart contract wrapper is configured to access a distributed ledger comprising a plurality of IP references corresponding to IP assets of the aggregate IP, interpret an IP description value and an IP addition request, and, in response to the IP addition request and the IP description value, add the IP corresponding to the IP description value to the aggregate IP. The system may further include a compute resource structured to perform computing tasks for at least one operation corresponding to the added IP, wherein the at least one operation corresponds to transaction execution tasks associated with the added IP.

Transaction-enabled systems and methods for smart contracts are disclosed. An example system may include a smart contract wrapper structured to aggregate intellectual property (IP) licensing terms corresponding to a plurality of IP assets, access a distributed ledger comprising the aggregated IP licensing terms and a plurality of IP references corresponding to the plurality of IP assets, interpret an IP description value and an IP addition request, and add an IP asset to the plurality of IP assets in response to the IP description value, and add IP licensing terms corresponding to the added IP asset to the aggregated IP licensing terms in response to the IP description value and the IP addition request.

Methods and computing systems are disclosed for improving the speed and accuracy of transaction decisioning processing. A method includes receiving on a continual and real time basis, a plurality of indications associated with a user from a plurality of external data sources, generating a score based upon the plurality of indications, receiving an authorization request message for a transaction, applying, by the computer, the score to the authorization request message, and transmitting, by the computer, an authorization response message based upon the score.

According to one aspect of the present disclosure, a method for improved reliability in a bank computer network can include: identifying an ATM proximate to a user device; determining whether the user device is communicably coupled to a server device over a secure link, the server device hosted by a financial institution and capable processing ATM transactions; establishing a secure link with the server device in response to determining the user device is not communicably coupled with the server device; prompting a user for permission to tether with the ATM in response to determining the user device is communicably coupled with the server device or determining the secure link has been established; receiving an indication of a response to the prompt for permission to tether with ATM; and establishing a P2P connection between the ATM and the user device.

Transaction-enabled systems and methods for royalty apportionment and stacking are disclosed. An example system may include a plurality of royalty generating elements (a royalty stack) each related to a corresponding one or more of a plurality of intellectual property (IP) assets (an aggregate stack of IP). The system may further include a royalty apportionment wrapper to interpret IP licensing terms and apportion royalties to a plurality of owning entities corresponding to the aggregate stack of IP in response to the IP licensing terms and a smart contract wrapper. The smart contract wrapper is configured to access a distributed ledger, interpret an IP description value and IP addition request, to add an IP asset to the aggregate stack of IP, and to adjust the royalty stack.

Systems and methods related to resource acquisition on a resource market are disclosed. A system may include a machine having a resource requirement for a task. A system controller may include a resource requirement circuit to determine an amount of a resource for the machine to service the task requirement, a resource market circuit to access a resource market, and a market testing circuit to execute a first transaction of the resource on the resource market. The controller may further include an arbitrage execution circuit to execute a second transaction of the resource on the resource market in response to an outcome of the first transaction, wherein the second transaction comprises a larger transaction than the first transaction.

Systems and methods for allocation of renewable energy capacity for a fleet of machines are disclosed. An example transaction-enabling system may include a fleet of machines each having an energy consumption task requirement, wherein at least a subset of the fleet of machines each comprises a renewable energy capacity. The system may further include a controller including a resource requirement circuit to determine an amount of energy for each of the machines to service the energy consumption task requirement for each corresponding machine, and a resource distribution circuit to allocate a delivery of energy from an aggregated renewable energy capacity of the subset of the fleet of machines in response to the determined amount of energy for each of the machines to service the energy consumption task requirement.