Code integrator
    11.
    发明授权

    公开(公告)号:US12125010B2

    公开(公告)日:2024-10-22

    申请号:US17216316

    申请日:2021-03-29

    Applicant: Stripe, Inc.

    CPC classification number: G06Q20/123 G06F3/0485 G06F8/34 G06Q20/102

    Abstract: A method comprises: displaying a first code snippet from a first code in a first panel; displaying an annotation related to the first code snippet in a second panel; receiving a code customization request; customizing the first code snippet in response to the request; displaying a preview of executing the code having the customized first code snippet in a preview window; inserting and running the code having the customized first code snippet in an application; and completing a transaction with the application running the first code with the customized first code snippet.

    Reader device dock
    12.
    外观设计

    公开(公告)号:USD1043617S1

    公开(公告)日:2024-09-24

    申请号:US29891209

    申请日:2023-05-02

    Applicant: Stripe Inc.

    Abstract: FIG. 1 illustrates a front view for a reader device dock.
    FIG. 2 illustrates a back view for the reader device dock.
    FIG. 3 illustrates a top view for the reader device dock.
    FIG. 4 illustrates a side view for the reader device dock.
    FIG. 5 illustrates a side view for the reader device dock.
    FIG. 6 illustrates a bottom view for the reader device dock.
    FIG. 7 illustrates a perspective view for the reader device dock; and,
    FIG. 8 illustrates a perspective view for the reader device dock.
    The broken line showing portions of the reader device dock illustrates unclaimed environment and forms no part of the claimed design. The claimed reader device hub is not intended to be limited to the scale illustrated in the figures.

    SHARED LEARNING ACROSS SEPARATE ENTITIES WITH PRIVATE DATA FEATURES

    公开(公告)号:US20240303554A1

    公开(公告)日:2024-09-12

    申请号:US18664202

    申请日:2024-05-14

    Applicant: Stripe, Inc.

    CPC classification number: G06N20/20 G06F18/24323 G06N3/084 G06N5/043

    Abstract: Embodiments herein use transfer learning paradigms to facilitate classification across entities without requiring the entities access to the other party's sensitive data. In one or more embodiments, one entity may train a model using its own data (which may include at least some non-shared data) and shares either the scores (or an intermediate representation of the scores). One or more other parties may use the scores as a feature in its own model. The scores may be considered to act as an embedding of the features but do not reveal the features. In other embodiments, parties may be used to train part of a model or participate in generating one or more nodes of a decision tree without revealing all its features. The trained models or decision trees may then be used for classifying unlabeled events or items.

    Location-based determinations
    17.
    发明授权

    公开(公告)号:US12034822B2

    公开(公告)日:2024-07-09

    申请号:US18336657

    申请日:2023-06-16

    Applicant: Stripe, Inc.

    CPC classification number: H04L67/52 G06Q30/04 G06Q30/0603

    Abstract: A method for location-dependent determination comprises: determining, with one or more processors, a geographic location of a user's electronic device using first data; in response to determining the determined geographic location is insufficient for performing a location-dependent determination, requesting second data to determine an updated geographic location of the user's electronic device; performing, with an Application Programming Interface (API), the location-dependent determination based on the updated geographic location; and completing, with the API, a transaction using the location-dependent determination.

    SYSTEMS AND METHODS FOR NESTED APPLICATION PROGRAMMING INTERFACES (APIs) FOR DISTRIBUTED PAYMENT PROCESSING SYSTEMS

    公开(公告)号:US20240211942A1

    公开(公告)日:2024-06-27

    申请号:US18087339

    申请日:2022-12-22

    Applicant: Stripe, Inc.

    CPC classification number: G06Q20/389 G06Q20/401 G06Q20/405

    Abstract: A method and apparatus for a first server computer system processing a transaction received from a second server computer system are described. The method may include receiving a request to perform a first transaction. The method may also include generating a second transaction originating from an account of the first server computer system, the second transaction comprising payment data associated with a user selected payment method for the first transaction. The method may also include transmitting the second transaction to a transaction interface of the first server computer system, and authorizing the second transaction with an authorization system using payment data associated with the user selected payment method for the first transaction to complete the first transaction.

    TRUSTED CUSTOMER NETWORK
    19.
    发明公开

    公开(公告)号:US20240193600A1

    公开(公告)日:2024-06-13

    申请号:US18077028

    申请日:2022-12-07

    Applicant: Stripe, Inc.

    CPC classification number: G06Q20/401 G06Q20/12 G06Q20/4016 G06Q20/409

    Abstract: A user scans a payment card while setting up an account on a merchant's website, or while completing a check out to purchase an item or service for the first time. The subject system stores signals from the card scan (e.g., device ID, verified card, location, last time scanned and used, etc.). The next time a transaction is requested for the card at another merchant, the subject system can reference the last data it has on the card. If the transaction is being requested from the same device or a reasonably close physical location within a reasonable timeframe, the subject system can be highly confident that this is a legitimate transaction, without requiring the customer to scan their payment card again.

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