Custom Fields in Rules

This feature allows merchants to send pre-defined custom fields via API within the PREPARED_DATA parameter. These custom fields can be utilized to create rules that determine the risk level of a transaction.

Business Value

  • Enables the ingestion of customer-specific, non-standard data fields for rule evaluation and risk decision-making, expanding beyond the standard Jumio data set.

  • Supports the inclusion of non-standard fields for further risk analysis, including graph-based evaluations.

  • Enhances flexibility for merchants by allowing custom data to be factored into risk calculations, optimizing fraud detection and user verification.

Functionality

1. Custom Field Definition in Unified Portal

  • Merchants can define the custom fields and the formats they plan to use via the Unified Portal interface.

  • Supported field formats include:

    • String

    • Array

    • Integer

    • Boolean

    • Object

  • The portal provides the ability to:

    • Add new custom fields

    • Delete existing fields

    • Modify (Change) field configurations as needed

2. Rule Creation using Custom Fields

  • Customers can create custom rules based on the defined custom fields, enabling more granular and specific risk evaluations.

  • Custom rules allow for diverse use cases, including checks on non-standard data.

3. Inclusion in Prepared Data

  • Once a merchant creates their custom fields, these fields become optional within the PREPARED_DATA sent via API.

  • If the fields are included, they will be used to determine risk scores or trigger custom rules.

      {
      "firstname":"John",
      "lastname":"Doe",
      "dateOfBirth":"1982-08-30",
      "customFields":{
        "customerInternalRiskScore":80,
        "customerStatus":"VIP"
      },
      ...

 

Benefits

This feature enhances flexibility by allowing dynamic rule creation and ingestion of custom data fields that are not available as part of Jumio’s standard fields language, further empowering merchants to refine their risk strategies based on unique data inputs.