Overview
Get enhanced data

Bank Aggregation uses consumer bank account information to predict good and bad borrowers and to ensure funds are available for payment processing.

With Bank Aggregation you get enhanced data to help you make informed decisions, by verifying identity, employment, income source, income amount, income frequency, loan stacking, expense trends, ability to repay, life events, and much more.

Overview
Validate income, expenses, and payment patterns

Bank Aggregation uses data directly from a bank account. Get the balance, deposits, and detailed transaction information. We apply data science, machine learning, and analytics to identify the most important bank account’s behaviors in easy to use results.

With Bank Aggregation you get truly alternative data to help you make informed decisions, by verifying identity, account ownership, employment, income amounts and frequency, debt stacking, expense trends, the ability to pay, life events, marketing opportunities, and much more.

We have the largest financial institution coverage at 31,000+ with over 48,000 connections for built-in redundancy.

Use Case Solutions

Data Attributes

Transactions
Uses proprietary algorithms to accurately cleanse, categorize, and classify the transactions from the bank account.
Statistics
Provides dozens of measurements and calculations, validates income & employer information, projects cashflows, counts negative balances, and more.
Risk Score
Enables consumers to contribute their checking and savings account data to provide a broader view for assessing creditworthiness.
Ownership & Account Validation
Maximize your conversions. This attribute quickly returns the name, address, phone, routing, and account number from the bank account.
Case Study
Turning Declines Into Originations

ValidiFI is the primary Bank Aggregation data source for a leading point of sale car repair FinTech.  The FinTech uses ValidiFI’s Risk Score data attribute to instantly underwrite applicants that were cut off because of a low traditional credit score. The Risk Score was able to provide instant financial information and identify credit worthy applicants.

The results were dramatic with nearly 25% of the declined applicants turning into originations, and becoming part of the FinTech success story.

Case Study
Borrowers' risk profile

ValidiFI is the primary Bank Aggregation data source for a leading point of sale car repair FinTech.  The FinTech uses ValidiFI’s Risk Score data attribute to instantly underwrite applicants that were cut off because of a low traditional credit score. The Risk Score was able to provide instant financial information and identify credit worthy applicants.

The results were dramatic with nearly 25% of the declined applicants turning into originations, and becoming part of the FinTech success story.