Abstract: The disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that utilize a machine learning model and a credit value model to generate user interface elements that present credit values and credit value conditions in real time for user accounts. For instance, the disclosed systems can generate an activity score using an activity machine learning model with internal user activity data of a user account. Then, utilizing a credit value model with the activity score and a user activity condition, the disclosed systems can determine a dynamic credit value range for the user account. Indeed, the disclosed systems can display user interface elements with selectable credit values from the dynamic credit value range. Additionally, the disclosed systems can utilize the credit value model to determine and display one or more dynamic credit value conditions for a selected credit value received from the selectable credit values.

Abstract: Systems and methods for mobile wallet payments are disclosed. In one embodiment, in an information processing apparatus comprising at least one computer processor, a method for conducting a payment using an electronic wallet may include: (1) a mobile application receiving a selection of an alternate payment currency; the mobile application receiving a payment payload from an issuer; the mobile application providing the selection of the alternate payment currency and an identifier to the issuer; and the mobile application providing the payment payload and the identifier to a merchant host. The merchant host may communicate the identifier to the issuer, and the issuer may identify selection of the alternate payment currency based on the identifier.

Abstract: A tracking liquidity order and related market center and process are disclosed which allow posting market centers (e.g. exchanges) to fill routable, smaller orders that would have otherwise routed off the posting market center. Such tracking liquidity orders increase the liquidity of that posting market center and allow it to execute more orders internally, without having to route them to an away market center.

Abstract: Systems and methods are provided that authorize blockchain network transactions based on a work requirement. A blockchain network has a plurality of nodes. At least one node of the plurality of nodes is configured to determine whether a token has satisfied a work requirement. The work requirement represents participation of performing work within the blockchain network. The at least one node is further configured to approve a transaction as a function of determining that the work requirement has been satisfied and, to disapprove the transaction as a function of determining that the work requirement has not been satisfied. By enabling the transaction to be approved based on a work requirement, the token, for example, can be authenticated as having an inherent functional value. In this way, the blockchain network or token exchange can attest to the token not being a security, which would be subject to federal securities and regulations.

Abstract: Systems and methods are described for monitoring content consumption. A method may comprise determining, by a device, content accessed by one or more user devices. The method may comprise causing a distributed ledger record to be generated. The distributed ledger record may comprise an indication of the content. The distributed ledger record may be stored on a distributed ledger. The distributed ledger may comprise other records indicating content accessed by a plurality of other devices.

Abstract: Methods and systems are presented for facilitating sharing of tokens among different funding accounts linked to a digital wallet application to improve the computer resource efficiency of the mobile device. When a first funding account is linked to the digital wallet application is received, a token management system may determine whether a set of tokens have already been issued and stored on the mobile device for another related funding account. The token management system may cause a token service provider server to abort generating additional tokens for the first funding account. Instead, the token management system may modify characteristics of one or more of the set of tokens existed on the mobile device, to enable the one or more existing tokens to be usable in electronic payment transactions in association with the first funding account or the second funding account.

Abstract: A distributed computing system facilitates automatic loan agreements between syndicate participants. The system includes a blockchain comprising circuitry embodying a plurality of blockchain services. A membership service registers participants to the syndicate, generates a unique identifier for each of the participants, and verifies that a respective entity is a node on the blockchain. An oracle service retrievably stores loan terms templates provided by the participants via a centrally managed entity. A smart contracts service receives financial and/or geo-location data associated with the plurality of syndicate participants. A predictive analytics service uses the data to determine whether a first syndicate participant has an excess of funds and whether a second syndicate participant has a lack of funds. A loan service automatically facilitates a loan agreement between the first participant and the second participant.

Abstract: Systems and methods are described for monitoring content consumption. A method may comprise determining, by a device, content accessed by one or more user devices. The method may comprise causing a distributed ledger record to be generated. The distributed ledger record may comprise an indication of the content. The distributed ledger record may be stored on a distributed ledger. The distributed ledger may comprise other records indicating content accessed by a plurality of other devices.

Abstract: Systems and methods for tokenization of social good. A disclosed method includes encoding a smart contract based on a plurality of project parameters for a social impact project, wherein the smart contract includes at least one self-executing code; and issuing a token to a user based on an investment made by the user, wherein issuing the token to the user further comprises recording a first transaction on a blockchain indicating that the user owns the token, wherein each of the at least one self-executing code is configured to record a second transaction on the blockchain based on the plurality of project parameters and data related to progress of the social impact project, wherein each second transaction includes a respective transfer of funds via the token issued to the user.

Abstract: Disclosed are example methods, systems, and devices for integrating payment API services provided by a service provider computing system with a client application. The client application running on a user device may allow a user to make payments and/or to submit payments for approval and may communicate payment information to a client computing system. If a payment is submitted for approval via the client application, the client computing system may make API calls to the service provider computing system to, for example, submit, view, and/or cancel payments. Payments may be approved by a second user using a second device. The service provider computing system initiates fund transfers for approved payments. Payments may be submitted within the operating environment of the client application without use of an application or website of the service provider.

Abstract: Systems and methods for fleet forward energy and energy credits purchase are disclosed. An example transaction-enabling system may include a resource requirement circuit to aggregate a resource requirement for a fleet of machines to perform a task; a forward resource market circuit to access a forward market for energy; and a machine resource acquisition circuit to execute a transaction on the forward market for energy in response to the aggregated resource requirement.

Abstract: Various aspects of the disclosure relate to using a verifiable and distributed encoding as a digital currency (e.g., cryptocurrency). According to some embodiments, systems and methods can be executed to transfer cash or “hard” currency responsive to exchange of cryptocurrency supported by blockchain technology. In further example, the systems and methods are tailored to operate within a specified/defined community that ensures the efficient operation of the system by ensuring liquidity of the transfer. According to one embodiment, the system is configured to distribute stable coin, issuing the coin at a discounted value (e.g., relative to a redemption or cash equivalent face value). For example, by issuing coin at a discount the system automatically facilitates peer-to-peer physical cash transfers.

Abstract: Systems and methods using IOT input to validate a loan guarantee are disclosed. An example system may include an Internet of Things (IoT) data input circuit to interpret a loan guarantee parameter; an IoT data collection circuit to collect data using at least one algorithm that is configured to monitor IoT information collected from and about an entity involved in a loan in response to the loan guarantee parameter; and a guarantee validation circuit to validate a guarantee for the loan in response to the monitored IoT information.

Abstract: A system, apparatus and method for automatic entity classification based on social media data is disclosed. An example system may include a social network data collection circuit to collect information about at least one entity involved in a bond transaction, and a condition classifying circuit to classify a condition of the at least one entity in accordance with a model and based on information from the social network data collection circuit, where the model is trained using a training data set of a plurality of outcomes related to the at least one entity. The system may further include an automated bond management circuit to manage an action related to the bond in response to the classified condition of the at least one entity.

Abstract: Disclosed are example methods, systems, and devices for integrating payment API services provided by a service provider computing system with a client application. The client application running on a user device may allow a user to make payments and/or to submit payments for approval and may communicate payment information to a client computing system. If a payment is submitted for approval via the client application, the client computing system may make API calls to the service provider computing system to, for example, submit, view, and/or cancel payments. Payments may be approved by a second user using a second device. The service provider computing system initiates fund transfers for approved payments. Payments may be submitted within the operating environment of the client application without use of an application or website of the service provider.

Abstract: A tracking liquidity order and related market center and process are disclosed which allow posting market centers (e.g. exchanges) to fill routable, smaller orders that would have otherwise routed off the posting market center. Such tracking liquidity orders increase the liquidity of that posting market center and allow it to execute more orders internally, without having to route them to an away market center.

Abstract: Systems and methods for automatically restructuring debt are disclosed. An example system may include a data collection circuit to monitor and collect information about at least one entity involved in a loan; and a smart contract circuit to automatically restructure a debt related to the loan based on the monitored and collected information about the at least one entity involved in the loan.

Abstract: Systems and methods for automatic classification of loan refinancing interactions and outcomes are disclosed. An example system may include a data collection circuit to collect a training set of loan interactions between entities, wherein the training set of loan interactions comprises a set of loan refinancing activities and a set of loan refinancing outcomes; an artificial intelligence circuit to classify the set of loan refinancing activities, wherein the artificial intelligence circuit is trained on the training set of loan interactions; and a robotic process automation circuit to perform a second loan refinancing activity on behalf of a party to a second loan, wherein the robotic process automation circuit is trained on the set of loan refinancing activities and the set of loan refinancing outcomes.

Abstract: Systems and methods for automatic classification of loan collection actions are disclosed. An example system may include: a data collection circuit to interpret interactions among entities related to at least one transaction of a first set of loans, wherein the at least one transaction involves a first collection action of a set of payments corresponding to the first set of loans; an artificial intelligence circuit to classify the first collection action, wherein the artificial intelligence circuit is trained on the interactions corresponding to the first set of loans; and a robotic process automation circuit that is trained on the interactions and a set of loan collection outcomes corresponding to the first set of loans to implement a second loan collection action on behalf of a party to a second loan.

Abstract: Systems and methods for crowdsourcing data collection for condition classification of bond entities are disclosed. An example system may include a crowdsourcing data collection circuit to collect information about entities involved in a set of bond transactions and a training data set of outcomes related to the entities. The example system may include a condition classifying circuit to classify a condition of a set of issuers using the information from the crowdsourcing data collection circuit and a model, where the model is trained using the training data set of outcomes related to the set of issuers. The example system may also include an automated agent circuit to perform an action related to a debt transaction in response to the classified condition of at least one issuer of the set of issuers.