Stripe, Inc. patent applications on December 26th, 2024
Patent Applications by Stripe, Inc. on December 26th, 2024
Stripe, Inc.: 5 patent applications
Stripe, Inc. has applied for patents in the areas of G06F3/06 (1), G06F12/0813 (1), G06F16/23 (1), G06F16/21 (1), G06F16/27 (1) G06F3/0611 (1), G06F16/2379 (1), G06N20/00 (1), G06Q20/4016 (1), H04L41/145 (1)
With keywords such as: data, node, request, network, database, status, transaction, application, service, and router in patent application abstracts.
Patent Applications by Stripe, Inc.
Inventor(s): Hemal Shah of Sunnyvale CA (US) for stripe, inc., Shashi Madappa of Campbell CA (US) for stripe, inc., Karan Vohra of Sammamish WA (US) for stripe, inc.
IPC Code(s): G06F3/06, G06F12/0813
CPC Code(s): G06F3/0611
Abstract: a method and apparatus for executing data access requests in a distributed storage system are described. the method can include initiating, by a service application executing on a first computing node, a data access request to manage service data using a plurality of distributed data storage nodes that store service data for the service. the method also includes communicating, by the service application to a router application executing on the first computing node, the data access request, and determining, by the router application, at least one data storage node from the plurality of distributed data storage nodes that can satisfy the data access request. the method also includes transmitting, by the router application to at least one data storage node, the data access request for fulfillment of the data access request on behalf of the service application.
Inventor(s): Hemal Shah of Sunnyvale CA (US) for stripe, inc., Shashi Madappa of Campbell CA (US) for stripe, inc., Karan Vohra of Sammamish WA (US) for stripe, inc.
IPC Code(s): G06F16/23, G06F16/21, G06F16/27
CPC Code(s): G06F16/2379
Abstract: a method and apparatus for updating data router nodes in a distributed storage system are described. the method can include querying, by a first database agent of a database node, a cache data store for health status metrics of the cache data store. the method can also include storing, by the first database agent of the database node, the health status metrics in a data repository. furthermore, the method can include obtaining, by a second database agent of a router node, the health status metrics from the data repository, and updating, by the second database agent of the router node, a database topology file based on the health status metrics.
Inventor(s): Brendan BERMAN of San Francisco CA (US) for stripe, inc., Richard LI of San Francisco CA (US) for stripe, inc., Justin LIOW of San Francisco CA (US) for stripe, inc., Niamh CLARKE of San Francisco CA (US) for stripe, inc., Alex ROSENBLATT of San Francisco CA (US) for stripe, inc.
IPC Code(s): G06N20/00
CPC Code(s): G06N20/00
Abstract: a method comprises determining whether a decision can be determined for the request based on a current information available; when the decision can be determined, utilizing a first model to determine a set of questions corresponding to the request, the first model previously trained using training data comprising a set of questions associated with a set of requests; utilizing a second model to determine one or more predicted answers for the set of questions, the second model ingesting the set of questions determined by the first model and at least one attribute associated with the request to generate the one or more predicted answers; and utilizing a third model to determine the decision for the request.
Inventor(s): Chiranth Manjunath HEGDE of Seattle WA (US) for stripe, inc., Vinayak THAPLIYAL of Seattle WA (US) for stripe, inc.
IPC Code(s): G06Q20/40
CPC Code(s): G06Q20/4016
Abstract: one method includes identifying a set of fraud-detection ml models to be used to determine a fraud status of a transaction; executing a routing ml model configured to generate a score for at least a subset of the set of fraud-detection ml models, based on an input of an amount and an attribute associated with the transaction, the score indicative of the fraud status for the transaction based on the amount and the attribute; executing using the amount and the attribute associated with the transaction, a subset of the set of fraud-detection ml models selected in accordance with each fraud-detection ml model's respective score, whereby at least one fraud-detection ml model within the subset of the set of fraud-detection models generates a prediction associated with the fraud status of the transaction; and authorizing the transaction based on the prediction.
Inventor(s): Leonardo Viccari of Seattle WA (US) for stripe, inc., Stuart Sandine of Seattle WA (US) for stripe, inc., Omar Eltobgy of Seattle WA (US) for stripe, inc., Michael Succi of Seattle WA (US) for stripe, inc., Sherif Mahmoud of Seattle WA (US) for stripe, inc.
IPC Code(s): H04L41/14, H04L41/06, H04L41/147, H04L41/22
CPC Code(s): H04L41/145
Abstract: a system may include a network infrastructure having a set of network component nodes, each network component node configured to communicate with at least one other network component node in accordance with a dependency protocol; and a server in communication with the network infrastructure and a fault injection server. the server can be configured to monitor outputs generated by the network infrastructure and attributes of data communication between the set of network component nodes; execute a computer model using the dependency protocol and the monitored attributes and outputs as input to predict a set of faults; in response to presenting the set of faults for display on a user interface, receive a selection of one or more of the set of faults; and instruct the fault injection server to execute a fault injection scenario simulating performance of the network infrastructure operating under the selected one or more faults.
