Patent classifications
G06Q20/4015
TRANSACTION-ENABLED SYSTEMS AND METHODS WITH LICENSING SMART WRAPPERS AND IP AGGREGATION
Transaction-enabled systems and methods with licensing smart wrappers and IP aggregation are disclosed. An example transaction-enabling system may include a smart wrapper structured to aggregate intellectual property (IP) assets into an aggregate stack of IP; and a smart contract wrapper configured to: access a distributed ledger comprising a plurality of intellectual property (IP) licensing terms corresponding to the aggregated 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 an IP asset to the aggregate stack of IP and commit a party to at least one of the plurality of IP licensing terms.
SYSTEMS AND METHODS FOR AGGREGATING TRANSACTIONS AND OPTIMIZATION DATA RELATED TO ENERGY AND ENERGY CREDITS
Systems and methods for aggregating transactions and optimization data related to energy and energy credits include a transaction-enabling system including a resource requirement circuit structured to aggregate a resource requirement for a fleet of machines to perform a task, wherein the resource requirement comprises an energy credit requirement; a forward resource market circuit structured to access a forward market for energy; and a machine resource acquisition circuit structured to execute a transaction on the forward market for energy in response to the aggregated resource requirement.
SYSTEMS AND METHODS FOR FORWARD MARKET PRICE PREDICTION AND SALE OF ENERGY STORAGE CAPACITY
Systems and methods for forward market price prediction and sale of energy storage capacity are disclosed. An example transaction-enabling system may include a fleet of machines having an aggregate energy storage capacity; and a controller, comprising: an external data circuit structured to monitor an external data source and collect data from the external data source; an expert system circuit structured to predict a forward market price for energy storage capacity based on the collected data and the aggregate energy storage capacity; and a smart contract circuit structured to automatically sell at least a subset of the aggregate energy storage capacity on a forward market for energy storage capacity in response to the predicted forward market price.
TRANSACTION-ENABLED SYSTEMS AND METHODS FOR SMART CONTRACTS
An example transaction-enabled system may include a smart contract wrapper to access a distributed ledger comprising intellectual property (IP) licensing terms corresponding to IP assets, wherein the IP licensing terms include an apportionment of royalties among owning entities in the distributed ledger. The smart contract wrapper may interpret an IP description value and an IP addition request, and, in response to the IP addition request and the IP description value, to add the apportionment of royalties corresponding to the IP description value. At least one of the plurality of IP assets comprises an instruction set and an operation on the distributed ledger provides provable access to the instruction set. A royalty apportionment wrapper apportions royalties from at least one royalty generating element to owning entities in response to the IP licensing terms.
SYSTEMS AND METHODS FOR FORWARD MARKET PRICE PREDICTION AND SALE OF ENERGY STORAGE CAPACITY
Systems and methods for forward market renewable energy credit prediction from business entity behavior 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. The example system may include wherein the forecast is based at least in part on a business entity behavior collected from at least one business entity behavioral data source, and wherein the energy credit comprises a renewable energy credit associated a renewable energy system. The example system may further include a smart contract circuit to perform at least one of selling the renewable energy credit or purchasing the renewable energy credit on the forward energy credit market in response to the forecasted forward market price.
SYSTEMS AND METHODS FOR TRANSACTIONS RELATED TO ATTENTION-RELATED RESOURCES
Transaction-enabling systems and methods are disclosed. A system may include a controller with an attention market access circuit to interpret a plurality of attention-related resources available on an attention market and an intelligent agent circuit to determine an attention-related resource acquisition value based on a cost parameter of at least one of the plurality of attention-related resources. An attention acquisition circuit may then solicit an attention-related resource in response to the attention-related resource acquisition value
Real-Time Functionality Modification Based on Dynamically Generated Device Identifier
Arrangements for providing dual-functionality device control functions are provided. In some aspects, a selection of a mode of functionality may be received. For instance, a user may select an option of at least two options available for selection on the payment device. In response to receiving the selected mode, a device identifier that may be or include a non-fungible token (NFT) may be generated. The NFT may be transmitted to the payment device for display on the payment device. The payment device may then be used to initiate a transaction. A transaction request including an encrypted version of the NFT, as well as additional data, may be received. The NFT may be decrypted and evaluated to determine whether it matches a pre-stored NFT. If not, the transaction may be denied and if so, the transaction may be authorized.
User Authentication Using Behavior Patterns
Systems, devices, and methods for user authentication are described. A security platform may authenticate a user based on a machine learning model created using historical user behavior. The user behavior may correspond to user interaction with and/or operation of a computing device. The user behavior may correspond to, for example, historical user purchase patterns. Applications include user authentication for online and offline purchases, access to computing resources, and/or access to physical locations.
SYSTEMS AND METHODS FOR MATH-BASED CURRENCY (MBC) EXCHANGES
Systems and methods for verifying tokens. The method includes creating a token of a digital title for an asset, the token including proof of ownership of the asset, an identifier of the asset, wherein creating the token further includes signing the token with a private key and embedding the token into a metadata field of the math-based currency (MBC) transaction. The method further includes tracking, using an overlay ledger, an amount of MBC associated with each customer in the MBC transaction, wherein the MBC is a cryptocurrency, and wherein the overlay ledger associates an individual customer with a designated amount of MBC and receiving an asset transfer request regarding the token. The method further includes, responsive to the token being signed with the private key, transmitting a title verification and updating an owner of the token for the asset.
SYSTEMS AND METHODS FOR SECURE PROVISIONING OF ACCESS TO TIERED DATABASES
Implementations are disclosed herein to provide tiered access to databases. In some implementations, a method includes an enrollment processor, generating, at the enrollment processor, an encryption key specific to a computing device associated with the tiered data; providing the encryption key to the computing device; receiving, at the enrollment processor, the tiered data that includes at least first tier data and second tier data, storing the tiered data, receiving, at the enrollment processor, an access request from a second computing device associated with a user, determining, using the in-memory cache, whether there is a match between the data elements and the stored second tier data, based on determination that there is the match, performing a decryption of a portion of the first tier data using the encryption key, and storing the decrypted portion of the first tier data in a third database connected to the enrollment processor.