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Verify the risk associated with a routing and account number, while also evaluating the bank account's performance against the related consumer's credit history.
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What does it do?
This cutting-edge solution provides businesses and lenders with unparalleled insights by accessing billions of ACH and check transactions on millions of consumers. Designed to optimize bank account verification and risk assessment, it evaluates the credit and fraud risk associated with a submitted bank account. By analyzing the account’s performance alongside the consumer's credit history, it delivers a highly predictive score on the widely recognized 350–800 scale, offering actionable insights into banking behavior and financial reliability.
Unlike traditional credit reports, this solution uses the consumer’s submitted bank routing and account numbers to provide a cross-institutional view of financial activity. It’s particularly beneficial for alternative lending solutions, as it enables lenders to verify bank account credit risk quickly and accurately, reducing defaults and enhancing decision-making processes.
Report Features:
The report includes a wealth of information, enabling lenders and businesses to make informed decisions:
- A 36-month summary of MICR (Magnetic Ink Character Recognition) and loan transactions, returns, and defaults
- The current status of the submitted bank routing and account numbers
- First and last seen dates of the bank account
- Confirmation of the account's ability to receive ACH transactions
- Assessments of other bank accounts associated with the applicant
- Flags for high-risk factors, such as accounts marked as closed or not found)
- Analytics and trending data on bank account and loan performance attributes
- Verification indicators for name, Social Security number (SSN), driver’s license, and phone number, ensuring they match the bank account details
Additional Verifications Include:
- Confirmation that the submitted name matches the name on the bank account
- Validation of the bank name against the associated routing number
- Formatting checks to confirm that the consumer’s driver’s license matches the issuing state's standards
Other Key Data:
- Number of known loans and their statuses
- Dates when MicroBilt first and last observed the account
- Dates of the most recent returned debit or check on the account
- Any additional driver’s licenses, telephone numbers, Social Security numbers, or other names associated with the account
What is it used for?
This solution is indispensable for lenders and businesses seeking alternative lending solutions to make smarter credit decisions. It provides a comprehensive view of a consumer’s financial behavior, enabling businesses to verify bank account credit risk with precision.
Industries such as alternative lending, auto financing, retail financing, and tenant screening benefit from its ability to provide real-time, actionable data. By evaluating account stability, transaction activity, and potential fraud risks, lenders can confidently assess the financial reliability of applicants. Furthermore, this bank account verification tool supports compliance with regulatory requirements and reduces the likelihood of fraud and payment failures.
With its predictive analytics and robust reporting capabilities, this solution offers a transformative way for businesses to improve operational efficiency, minimize risk, and enhance the customer experience.
Available:
- Web Based
- Batch
- API
Integrates with these providers:
iPredict is accessed as part of the MicroBilt Consumer Lending Report service, which allows users to submit a single request to MicroBilt's alternative credit platform to access its full suite of underwriting solutions. All or any combination of alternative credit products can be configured for delivery in the response, including: iPredict , BAV, ID Verify and MLA Verify.
Requests through this solution are supported by MicroBilt's Automated Decision Intelligence (ADI) platform, which enable users to configure product bundles, decision workflow, scoring thresholds and other user-driven rules.
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