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Overview

Straddle Reputation matches provided consumer PII (Personally Identifiable Information) and account information against data collected from diverse institutions across the US, including:
  • Fintechs and neobanks
  • Traditional banks
  • Lenders
  • Gaming platforms
  • Telcos and more
The service returns crucial risk signals that can associate a consumer identity with past instances of confirmed fraudulent or high-risk activities. Additionally, Straddle Reputation includes a dedicated risk score focused on identifying repeat bad actors.

About Reputation Risk Signals

Straddle Reputation risk signals are indicators or warnings derived from our extensive consortium data. These signals suggest whether a consumer identity has been involved in past fraudulent or deceitful behavior, particularly concerning first-party fraud. You can use these risk signals to help predict the likelihood that a consumer might make bad faith disputes or default on payments. This assessment is based on confirmed, fraudulent activities and can be utilized at various stages:
  • During the account opening process
  • At the point of a transaction
  • When handling a disputed transaction

Use Cases

High-Risk Transactions

Identify consumers who are likely to commit payment fraud based on their past activity for transactions such as ACH, card, check, and loan applications
Identify and flag applicants previously linked to fraud schemes or transaction disputes. These individuals can then be routed for manual review or subjected to enhanced scrutiny.
Detect signals in consumer behavior that are indicative of patterns of fraudulent chargebacks or payment disputes.

API Integration

Integrating Straddle Reputation into your systems is straightforward — it’s built in to the existing customer creation flow! The API response provides an additional object with comprehensive overview of the risk assessment.

API Response Example

Below is an example of the reputation object returned by the Straddle API:

Key Fields in the Response

string
A recommended action (e.g., “accept”, “review”, “reject”) based on the risk assessment.
array
An array of Reputation Codes that provide specific reasons and context for the assessment.
integer
A numerical score indicating the level of risk associated with the identity, particularly for identifying repeat bad actors.
object
A detailed object containing various data points and metrics used in the risk assessment.

Understanding Insights

The insights object within the API response provides a granular breakdown of the data points contributing to the risk assessment. Straddle provides insights into an identity’s past behavior, including confirmed fraud and payment defaults.

Transaction History

object
object
integer
Total number of accounts associated with the identity
integer
Number of active accounts
integer
Number of closed accounts
array
Dates when accounts were closed
integer
Number of accounts marked as fraudulent
integer
Total loss amount from fraudulent accounts
integer
Total number of applications
array
Dates of applications
integer
Number of approved applications
integer
Number of declined applications
integer
Number of applications marked as fraudulent
integer
Number of institutions where the user has been seen
integer
Number of different DOBs associated with the identity
integer
Number of mobile numbers associated with the identity
integer
Number of email addresses associated with the identity
integer
Number of addresses associated with the identity
integer
Number of active profiles
integer
Number of closed profiles
These insights allow for a deeper understanding of the factors influencing the risk score and decision, enabling more informed risk management strategies. Always ensure you have proper consent and legal basis for processing this data in accordance with applicable privacy laws.

Reputation Codes

The following codes provide detailed information about the findings related to the consumer identity. Use these codes to understand specific risk signals identified by the system.