Abstract: Systems, methods, and other embodiments for ML-Based automated below-the-line threshold tuning include, in one embodiment, training an ML model to predict probabilities that an event is fraudulent on a set of events (i) sampled from a set of historic events labeled by an alerting engine as either above-the-line events or below-the-line events on either side of a threshold line indicating that an event is suspicious, and (ii) confirmed to be either fraudulent or not fraudulent; determining that the alerting engine should be tuned based on differences between probability values predicted for the events by the trained machine learning model and the labels applied to the events; generating a tuned threshold value for the threshold line based at least in part on the probability values predicted by the machine learning model; and tuning the alerting engine by replacing a threshold value with the tuned threshold value to adjust the threshold line.

Abstract: Disclosed herein is a digital lending platform with integrated product, pricing, and eligibility. The digital lending platform includes, in some embodiments, one or more server hosts supporting an application stack of the digital lending platform. The application stack includes a loan-product database, a pricing algorithm, and an eligibility rules engine. The loan-product database includes each loan product of a number of loan products offered through the digital lending platform. The pricing algorithm is configured to determine a price for each loan product of the number of loan products. The eligibility rules engine includes eligibility rules for each loan product of the number of loan products. Also disclosed herein is a computer-implemented method of the digital lending platform with the integrated product, pricing, and eligibility.

Abstract: A controller for making initiating actions in a building management system (BMS) is shown. The controller includes a processing circuit configured to receive location data relating to the building occupant located at a first location outside of a building. The processing circuit is configured to, in response to determining the first location is within a first distance range of the building, provide control signals to a first subsystem of the BMS. The processing circuit is configured to receive location data relating to the building occupant located at a second location outside of the building. The processing circuit is configured to, in response to determining that the second location is within a second distance range of the building, provide control signals to a second subsystem of the BMS.

Abstract: Systems and methods are provided for routing transactions from ATMs. In one embodiment, a method is provided that includes receiving a unique identifier that corresponds to a transaction requested by a user. In certain implementations, the unique identifier may be presented to the user by a third party separate from a provider of the ATM. The method may further include routing the unique identifier to an application programming interface affiliated with a provider of the ATM to confirm the transaction's validity. In certain implementations, the method may further comprise implementing the transaction and updating a settlement account to reflect the transaction.

Abstract: A method of providing a loan credit to a customer before the customer requests the loan comprises obtaining, by a server, personal information for a customer by a credit broker application executing on the server, executing, on the server, a plurality of lender approval models using the personal information for the customer as input to each lender approval model, where each lender approval model is stored on the computer system in a byte code format as part of a private blockchain system, generating, by the server, a plurality of loan, evaluating, by a credit broker application executing on the server, the plurality of loan approvals based on a credit broker rule set, selecting, by the credit broker application, one of the loan approvals by the credit broker application, and presenting information to the customer comprising the terms of the selected loan approval by the credit broker application.

Abstract: A device may receive application questions for an individual applying for credit with an organization. The device may broadcast the application questions to additional devices that have access to a distributed ledger for sharing credit worthiness information to cause at least one of the additional devices to generate an application response to the application questions and to process the application response using a smart contract. The device may receive one or more application responses that have been encrypted. Each of the application responses may include particular credit worthiness information relating to the individual. The device may decrypt the application responses. The device may determine a credit worthiness score for the individual using the application responses. The device may perform one or more actions that allow the device or another device associated with the organization to use the credit worthiness score to determine whether to approve the individual for credit.

Abstract: A system and method for providing a corporate “co-signor” for potential purchasers of an automobile who do not meet captive lender or standard bank approval guidelines. The corporate co-signor does not sign or execute loan documents alongside the purchaser in a manner similar to co-signors in the prior art, but instead guarantees the loans that are underwritten using a “cosignloan” product implemented in agreement with a captive lender. The loan is based on a payment-to-income (PTI) basis, supported by the security provided by the corporate co-signor. The dealer will then be able to use the “cosignloan” product parameters to provide appropriate new, used, or certified pre-owned vehicles to the customer/purchaser. The corporate co-signor receives an administration fee for each loan. The administration fee, in one embodiment, is sent to a reserve account by the captive lender from the dealer booking proceeds.

Abstract: Techniques described herein are directed to lending products with different repayment mechanisms. In an example, indication(s) of purchase(s) made using a payment instrument associated with a first lending product can be associated with a first data structure, wherein the first data structure is associated with a balance determined based at least in part on the indication(s). Based at least in part on determining that the balance exceeds a predetermined threshold, a portion of the balance can be associated with a second data structure associated with a second lending product, wherein the first lending product and the second lending product are independently associated with different repayment mechanisms. The portion of the balance can therefore be repaid via a repayment mechanism associated with the second lending product.

Abstract: A system and method for automated blockchain custody service for managing a set of custodial assets includes a blockchain service circuit structured to interpret a plurality of access control features corresponding to parties associated with a secured loan; a data collection circuit structured to receive first collateral data from at least one sensor associated with the collateral used to secure the loan; receive second collateral data regarding an environment of the collateral from an IoT circuit; and associate the first collateral data and second collateral data with a unique identifier associated with the item of collateral, wherein the blockchain service circuit is structured to store the unique identifier and associated collateral data as blockchain data; a smart contract circuit structured to create a smart lending contract; and a secure access control circuit structured to receive access control instructions from a lender of the loan via an access control interface.

Abstract: The Advantage2U® system is an on-line system that increases the buying power of customers, enables customers to pay down a vehicle loan more quickly than the standard payments for the loan term would allow, and enables customers with negative equity in a vehicle loan to more quickly reach a position of positive equity. The Advantage2U system accomplishes this by collecting weekly payments from customers, instead of monthly payments from the customers. Since vehicle loans require monthly payments, the Advantage2U system collects one quarter of the total monthly payment per week. However, since this results in the customer paying one quarter of the monthly payment for 52 weeks in a given year, instead of the customer making 12 monthly payments, the customer has effectively made 13 monthly payments in a given year, and the extra amounts paid are directly applied to the principal of the loan.

Abstract: Systems and methods are provided to identify abnormal transaction activity by a participant that is inconsistent with current conditions. Historical participant and external data is identified. A recurrent neural network identifies patterns in the historical participant and external data. A new transaction by the participant is received. The new transaction is compared using the patterns to the historical participant and external data. An abnormality score is generated. An alert is generated if the abnormality score exceeds a threshold.

Abstract: Disclosed are various embodiments for facilitating the cancellation or reversion of unauthorized operations. An operation initiated to be executed with respect to a user account is received from a computing device that has been authenticated. A notification of the operation is sent through at least one communication channel in response to receiving the operation. The notification facilitates a reply that causes the operation to be cancelled when the reply is sent within a first time period and causes the operation to be reverted when the reply is sent within a second time period after an expiration of the first time period.

Abstract: In some aspects, a computing system can detect synthetic identities based on attributes associated with online entities. The computing system can generate entity links between primary entity objects and a secondary entity object. The secondary entity object identifies a target consumer as a secondary entity for accounts identified by the primary entity objects. Attributes of the secondary entity object and attributes of the primary entity objects can be calculated and compared to determine an inconsistency between a combination of a name attribute value and an address attribute value of the secondary entity object as compared to the primary entity objects. A fraud warning indicating that the target consumer is likely to be a synthetic identity can be generated based on the inconsistency and other attributes of the target consumer, such as an inquiries attribute, a terminations attribute, a duration attribute, and so on.

Abstract: Disclosed is a mobile CRM application, particularly for real estate agents, that allows the management of: (1) registration, (2) prospecting, (3) tours, and (4) transaction tracking for a large number of leads, customers and clients from a smartphone.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described that enable identifying an insurance information associated with a property, retrieving one or more compliance rules related to the insurance information, automatically determining, based on the one or more compliance rules, whether the insurance information has a compliant status or a non-compliant status, in response to determining that the insurance information has the non-compliant status, processing the insurance information, based on one or more exception rules, to generate an exception waiver including a plurality of waiver parameters, applying the plurality of waiver parameters to a waiver model to determine a waiver confidence score, and based on the waiver confidence score selectively generate an insurance certificate for the property.

Abstract: A system and method for implementing an automatic data collection and presentation generator module are disclosed. A database stores a plurality of templates and data components. A receiver receives a request from a user to automatically generate an electronic data presentation based on a template and a limited data set selected from the data components. A processor receives user's credential information corresponding to the received request. The processor also accesses the database to identify a template among a plurality of templates based on user's access permission and verified authentication; hydrates the identified template with the limited data by applying a predefined data injection algorithm that is configured to determine that the limited data set is accessible by the user based on the user's access permission and the verified authentication; and automatically generates the electronic data presentation with the hydrated identified template having the limited data.

Abstract: A method, performed at a mobile device, for accessing a service, comprises: determining, from payment card information stored on or obtained at the mobile device, a list of services that are available in relation to the payment card; receiving a selection of one of the services; determining at least one corresponding communication channel by which the selected service is accessible; and opening the at least one corresponding communication channel to thereby access the service.

Abstract: A system for automated edit check generation is disclosed. The system may write a template edit check based on a custom edit check, add a parameter set for the template edit check, add a value for each parameter of the parameter set, and generate an edit check based on the template edit check, the parameter set, and the value.

Abstract: Decentralized development and deployment of applications is described. An application may be defined as being composed of multiple code libraries, each independently developed and deployed. Packagers of individual code libraries may deploy various versions of respective code libraries in multiple code cells and may further define cell selection criteria for the libraries. An application manifest may be constructed identifying the component code libraries with optional version selection criteria for the libraries. Upon receiving a request for the application for a particular client, a refined manifest for the application may be generated for that client, the refined manifest including identifiers of particular cells for the respective component code libraries. The application may then be generated according to the refined manifest and provided to the client. Subsequent requests for the application for the same client may be serviced according to the refined manifest.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for preapproving a loan. An example method includes receiving, from an online marketplace server device, a preapproval request provided by a user for a loan preapproval to purchase a first property. The example method further includes obtaining credit information associated with the user from a credit server device. The example method further includes generating a preapproval data structure based on the preapproval request and the credit information. The example method further includes generating a preapproval token based on the generated preapproval data structure. Subsequently, the example method includes transmitting the generated preapproval token to the online marketplace server device.

Abstract: In one embodiment, this invention analyzes demographic data that is associated with a specific street address when presented as an address change on an existing account or an address included on a new account application when that address is different from the reference address (e.g., a credit bureau type header data). The old or reference address and the new address, the new account application address or fulfillment address demographic attributes are gathered, analyzed, compared for divergence and scaled to reflect the relative fraud risk.

Abstract: Systems for securing transactions based on merchant trust score are disclosed. The system may receive information identifying a merchant from a user device and, in response, retrieve transaction data associated with the merchant and receive website data in response to receiving information identifying the merchant. The system may use a machine learning model to generate a merchant trust score for the merchant, and determine whether the merchant trust score is less than a predetermined threshold. The system may also generate or retrieve an alternative payment method and provide related information or a recommendation to the user device.

Abstract: The concept involves efficiently using machine learning to quickly identify possible fraudulent applications in small business loan and credit applications by automatically flagging applications that meet certain criteria. In one preferred implementation, the tool compares a business description to a selected NAICS code in a loan application to assess the potential for fraud. Specifically, an algorithm can match the leftmost two digits of the selected code with the description of the category from an applicant. An engine calculates a probability of a fraud score based on the matching attached to the application. Because the tool detects fraud proactively rather than reactively, it substantially reduces computational costs and resources and reduces the biases associated with highly intensive manual work.

Abstract: Systems and methods for automatic consideration of jurisdiction in loan related actions are disclosed. An example system may include a data collection circuit to determine location information corresponding to each entity involved in a loan; a jurisdiction definition circuit to determine a jurisdiction for at least one of the entities in response to the location information; and a smart contract circuit to automatically undertake a loan-related action for the loan based at least in part on the jurisdiction for at least one of the entities.

Abstract: A method and apparatus for selecting a financial account associated with a payment object based on fund availability are disclosed. A payment object, such as a proxy card associated with multiple financial accounts, is used by a consumer to make a purchase. In one example, the consumer selects a debit card associated with the proxy card to use for the purchase. A computer system determines that the debit card account has insufficient funds available for the purchase, and determines that an alternate account associated with the proxy card has sufficient funds. The computer system notifies the consumer, via a mobile device of the consumer, that the debit account has insufficient funds, and provides the consumer with the option of using the alternate account. The consumer indicates a desire to use the alternate account, and the computer system processes the payment based on the alternate account.

Abstract: A regularization-based (RB) hedging tool identifies a recommended hedging portfolio that track a target asset and provides one or metrics indicating a predicted performance of the hedging portfolio relative to the target asset. The RB hedging tool uses a RB hedging model that is trained on price data from an observation period. Initial hyperparameters for the model are selected using asset price data from a validation period and the performance of the model is evaluated by applying it to asset price data from a backtest period. The end-user is presented with one or more metrics indicating the performance of the model and may modify one or more settings (e.g., hyperparameters) of the model. The model is retrained and reapplied to the backtest period, and the metrics are updated. Thus, end-users may tailor the model to their own particular needs and preferences.

Abstract: In some examples, a payment processing system receives transaction information of transactions performed by a plurality of merchants. The payment processing system may generate, using one or more trained machine learning classifiers and based on transaction information of a current transaction of a first merchant, a request to a plurality of financial systems. Further, the payment processing system may expose an application programming interface (API) to at least one financial system of the plurality of financial systems for electronic communication of financial information at least one of to or from the at least one financial system. Additionally, the payment processing system may generate, using the one or more trained machine learning classifiers and based at least on information obtained from the at least one financial system, via the API, one or more payment actions for the first merchant to perform using the payment processing system.

Abstract: A device configured to receive a first current status for a user account from a provisioning service device. The device is further configured to query a status log using to determine a second current status of the user account. The device is further configured to compare the first current status for the user account from the provisioning service device to the second current status of the user account in the status log, to determine the first current status for the user account does not match the second current status of the user account, and to update one of the status log and the provisioning service device in response to determining that the first current status for the user account does not match the second current status of the user account.

Abstract: Documents needing to be analyzed for various reasons, such as financial crimes, are ranked by examining the topicality and sentiment present in each document for a given subject of interest. In one approach a given document is classified to determine its category, and entity recognition is used to identify the subject of interest. Passages from the document that relate to the entity are grouped and analyzed for sentiment to generate a sentiment score. Documents are then ranked based on the sentiment scores. In another approach, a classification probability score is computed for each passage representing a likelihood that the passage relates to a category of interest, and the document is ranked based on the sentiment scores and the classification probability scores. The category classification uses an ensemble of natural language text classifiers. One of the classifiers is a naïve Bayes classifier with feature vectors generated using Word2Vec modeling.

Abstract: Certain aspects of the present disclosure provide techniques for generating a human readable summary explanation to a user for an outcome generated by a complex machine learning model. In one embodiment, a risk assessment service can receive a request from a user in which a risk model of the risk assessment service performs a specific task (e.g., determining the level of risk associated with the user). Once the risk model determines the risk associated with the user, in order to comply with regulations from a compliance system, the risk model can provide a user with an explanation as to the outcome for transparency purposes.

Abstract: The present invention relates to a method for forecasting health status of a distributed network by an artificial neural network comprising the phase of identifying one or more sites, one or more assets of the sides and the links between the identified assets in said distributed network, comprising the phase of evaluating the actual health status of each of the identified assets, the phase of evaluating the actual health status of each of said identified sites and the phase of forecasting, by the artificial neural network, the subsequent health status of each of the identified sites according to a forecasting function based on a set of values comprising the actual asset health status rank, the actual asset infection risk, the actual asset infection factor, the actual site health status rank and the actual site infection risk.

Abstract: A method for seismic loss assessment including receiving by a computer system computer-readable input data regarding a seismic hazard and building conditions, generating by the computer system one or more mitigation options and for each of the mitigation options, configuring the computer system to: determine a structural response, determine damage states from the structural response, determine an outcome of each of the damage states; and, output a representation of each of the outcomes for each of the damage states. The output is used in a seismic risk mitigation plan and/or design for one or more building structures.

Abstract: A system receives application data to be used in requests made on behalf of an applicant to a selection of evaluator devices. The system includes a predictive model which predicts actual eligibility criteria for acceptance of a request by the evaluator devices, and is trained with a library of application data including previously evaluated requests and outcomes to the previously evaluated requests. The system compiles the application data into separate requests by synchronizing the application data and identifying a common core of data required by each selected evaluator device and compiling the common core of data along with particular requirements of individual evaluator devices. An applicant can thereby complete a multi-request application which generates requests to a plurality of evaluator devices and which avoids duplication of data storage and data transmission, and reduces effort required by the applicant. Implementations include students making applications for admission to academic institutions.

Abstract: Systems and methods for an autonomous marketplace system include a server that extracts borrower data including financial, operational and business data, and lender data from prospective lenders including financial data and a target profile for each prospective lender. It then generates, using artificial intelligence, an autonomous ranked match of prospective lenders. The artificial intelligence identifies relationships between the borrower data and the prospective lender data to generate the autonomous ranked match based on a preference of the borrower and a correlation between the identified relationships. Upon the borrower entering an internet based chat room, the identities of the prospective lenders are revealed. The borrower selects one or more prospective lenders to receive a finance request, and after selection by the borrower, the selected prospective lenders are first notified and informed of an existence of the finance request of the borrower.

Abstract: A method, apparatus, and computer readable storage to implement a lending system for use with electronic commerce web sites such as auction sites. A seller may receive a cash loan for items placed for sale but not yet purchased by a buyer. The seller can be required to pay back the loan after a predetermined amount of time or as soon as the item for sale is sold and payment is received from the buyer. The lender would charge interest or commission for the loan. In this manner, sellers can receive cash for items listed on auction sites before those items are actually sold, generating additional cash flow for the seller.

Abstract: Intelligent bundling of multiple loans is described. In an example, server computing device(s) can receive a request for a first loan to enable a buyer to purchase a first item from a first merchant and can generate the first loan based at least in part on determining that the buyer purchased the first item. The first loan can be associated with a balance based on an actual purchase price of the first item. The server computing device(s) can determine to bundle repayment of the first loan with at least a second loan, and based on determining to bundle repayment of the first loan and at least the second loan, the server computing device(s) can repay at least a portion of the first loan and at least a portion of the second loan via a single payment from an account of the buyer.

Abstract: A method for predicting fraudulent call activity is provided. The method includes receiving one or more datasets indicating call activity corresponding to a phone number, and analyzing the one or more datasets to identify unusual call activity. The method further includes generating a fraud prediction, based at least in part on the identified unusual call activity, that the phone number will be used for fraud.

Abstract: A device may consolidate the input data associated with vehicle insurance claims to generate processed input data. The device may process claims data, treatment data, and repair shop data to resolve ambiguities in the processed input data and to generate resolved data. The device may process the resolved data to generate related data identifying relations between persons and vehicle accidents. The device may process notes of claims adjusters and vehicle accident descriptions to extract feature data identifying features. The device may process the feature data to determine contradiction data identifying contradictions in the feature data. The device may process weather data, location data, and telematics data to determine weather conditions and locations associated with the accidents. The device may process the related data, the contradiction data, the weather conditions, and the locations to generate a knowledge graph. The device may identify a fraud ring based on the knowledge graph.

Abstract: Systems, methods, and computer-readable media are disclosed for evaluating data quality. An exemplary embodiment includes storing a plurality of records, the records sharing a common attribute, and reading first values for the common attribute corresponding to a first time period and second values for the common attribute corresponding to a second time period. A business rule for evaluating the common attribute is accessed, and first and second consistency data are generated. The first consistency data may reflect the extent to which the first values of the common attribute are consistent with the business rule at the first time. The second consistency data may reflect the extent to which the second values of the common attribute are consistent with the business rule at the second time.

Abstract: A donation facilitation system that can allow a donor, such as a customer, to challenge another entity, such as a provider, to make a provider contribution to a portfolio of multiple charities set up by the donor upon, for example, the purchase of a good or service from the provider. The provided portfolio donation facilitation system can allow the other entity such as a provider to create its own provider portfolio of multiple charities and make a provider contribution to a customer's portfolio of multiple charities when at least one component of the provider's portfolio of multiple charities matches at least one component of the customer's portfolio of charities. The provider makes the contribution to the charity or charities.

Abstract: A computer-implemented method for automating service provider status and reporting during a service visit includes the initial steps of creating a service provider transaction, initiating the transaction, and calculating an estimated completion time of the transaction. The estimated completion time is based on at least one service condition, which may include the availability of servicing tools and components, the availability of service provider employees, the priority status, if any, of the service provider transaction, and the level of difficulty of service provider transaction, among others. Preferably, the service conditions include constant or variable associated values. The completion time is calculated based upon a sum of these values. If an unexpected service need or service delay arises, the service provider transaction status is updated, which includes recalculating the estimated time of completion based on a new service condition that arose from the unexpected need or delay.

Abstract: Apparatuses, methods, and computer program products are provided for improved model compliance. An example method includes receiving a product model that is generated from user data associated with a plurality of users and receiving a first regulation offending model that is non-compliant with respect to a first regulatory factor. The method also includes analyzing the product model with the first regulation offending model and generating a first regulation compliance score for the product model with respect to the first regulatory factor. The method further includes determining whether the first regulation compliance score satisfies a first regulatory factor threshold. In an instance in which the first regulation compliance score fails to satisfy the first regulatory factor threshold, the method includes generating a first violation notification or modify the product model.

Abstract: A system and method for automated verification of a cybersecurity event includes identifying a cybersecurity event of a subscriber; automatically constructing a response-enabled verification communication based on one or more features of the cybersecurity event satisfying verification-initiating criteria of an automated verification-initiation workflow, and transmitting the response-enabled verification communication to the subscriber associated with the cybersecurity event, wherein the response-enabled verification communication includes: one or more pieces of event-descriptive content; a first selectable interface object that, when selected by the subscriber, automatically increases a threat severity level of the cybersecurity event; and a second selectable interface object that, when selected by the subscriber, automatically de-escalates the threat severity level of the cybersecurity event causing a disposal of the cybersecurity event; and automatically routing the cybersecurity event to one of a cybersecu

Abstract: A method and system include receiving, by a processor of a server, from a computing device associated with a user, real-time user activity data identifying at least one activity performed on the computing device. User-inputted data elements from a plurality of elements of a graphical user interface displayed on the computing device are received, which identify user-specific data attributes. Potential user-specific knowledge information is identified from databases based on at least one user-specific data attribute. User-specific challenge questions based on the potential user-specific knowledge information are generated and displayed on the user's computing device. Answers to the user-specific challenge questions by the user are received. An answer score based on correct answers and a behavioral score based the real-time user activity data of the user are determined. The processor determines whether the user is or is not a fraudster based on the answer score and the behavioral score.

Abstract: Methods, systems, and program products for streamlined auditing that receive an input audit request via the data interface; source entity type data (ETD) from one or more databases; prepare the ETD for input into an entity clustering module; match the ETD via the entity clustering module to locate linkages within the ETD and discover relationships amongst one or more entities identified within the ETD; cluster datapoints in the ETD that refer to the same real-world entities; analyze the ETD relationships via an entity intelligence module to identify and segment targeted entities, from the one or more entities, that are applicable to the audit request; generate inclusion lists of those targeted entities that are determined to fulfill the audit request; finalize the inclusion lists of targeted entities that fulfill the audit request to generate streamlined audit results; and output the streamlined audit results to an end user.

Abstract: An example method for facilitating a home mortgage includes: normalizing a plurality of loan products into a consolidated loan product; originating the consolidated loan product for a home purchaser; after origination of the consolidated loan product, determining a best fit for the consolidated loan product from among the plurality of loan products; and transferring the consolidated loan product to an entity associated with the best fit from the plurality of loan products.

Abstract: A system and method of a smart contract and distributed ledger platform with blockchain custody service includes a blockchain service circuit structured to interface with a distributed ledger; a data collection circuit structured to receive data related to items of collateral or data related to environments of the items of collateral; a valuation circuit structured to determine a value for each of the plurality of items of collateral based on a valuation model and the received data; and a smart contract circuit structured to interpret a smart lending contract for a loan, and to modify the smart lending contract by assigning, based on the determined value for each of the items of collateral, at least a portion of the items of collateral as security for the loan such that the determined value of the items of collateral is sufficient to provide security for the loan.

Abstract: A heuristic engine includes capabilities to collect an unstructured data set and a current business context to calculate a credit worthiness score. Providing a heuristic algorithm, executing within the engine, with the data set and the context may allow determination of predicted future contexts and recommend subsequent actions, such as assessing a credit risk of a customer transaction and reducing the risk of customer transactions by processing the available data. Such heuristic algorithms may learn from past data transactions and appropriate correlations with events and available data.

Abstract: One embodiment provides a method and system for managing risk-control commands. During operation, the system can obtain statistics associated with a plurality of risk-control commands issued by a risk-control system corresponding to a plurality of transactions on an online financial platform, and determine, based on the monitored plurality of risk-control commands, whether a subset of risk-control commands meets an anomaly condition. In response to determining that the subset of risk-control commands does not meet the anomaly condition, the system can forward the subset of risk-control commands to the online financial platform to facilitate the online financial platform in performing corresponding transactions according to the subset of risk-control command. In response to determining that the subset of risk-control commands meets the anomaly condition, the system can prevent the subset of risk-control commands from being forwarded to the online financial platform.

Abstract: A system for generating rate and payment information for a customer receives an inquiry type from a customer relating to a loan or mortgage. The system also receives a value specific to the potential loan or mortgage. In combination with a product and policy database and a pricing/fee database, relevant financial products are determined and provided to the customer. The inquiry type can include buying a property, refinancing a mortgage, improving a property, and/or using funds from a property.