Generate results on your historical transactions to see how RIBBIT performs in predicting defaults, overdraft payments, high risk returns, and affordability
Please select a product:
BankVERIFY+ / BankQUALIFY
Instant non-credentialed bank intelligence to identify risk and fraud on 99% of accounts
BankLOGIN+
Patent-pending bank transaction analytics and predictive decisioning using cash flow history
To upload data or see your results, please log in
If you do not have access to our test environment yet, check with someone within your organization who already has access to our test site - they can add you as a user. Otherwise, talk to your RIBBIT contact for access
Log In
Once logged in, you can upload data analysis files, download results, and see detailed documentation on the response
How it Works
RIBBIT processes recent applications in production to showcase actual coverage and data results
Production Data Analysis
Upload a file containing applications and transactions (approved & rejected) for analysis.
Production tests include a live account verification and returns 600+ attributes, risk scores, and corresponding Recommended Action Codes
Production tests include a live account verification and returns 600+ attributes, risk scores, and corresponding Recommended Action Codes
Required Data
The following data points are required to be submitted in order to accurately analyze your data
Application Information(at the time of application)
Unique ID(s)
Provide a unique ID from your system that references this transaction or customer. If you have multiple IDs, such as customer and application, please provide them
Signer and/or Business Name (where applicable)
The signer on the loan, the name on the transaction, or the business name for SMB loans
Signer and/or Business Address(where applicable)
The physical address of the signer, or the business address for SMB loans
Signer and/or Business Phone Number(where applicable)
The phone number of the signer or the business (for SMB loans)
Signer and/or Business Email Address(where applicable)
The e-mail address of the signer or the business (for SMB loans)
Inquiry Date
The date the loan was previously scored, approved, or created
Approved / Declined / Funded Flags
Details on whether the loan / transaction was approved, declined, or funded
Routing Number
The full 9-digit routing number of the financial institution
Account Number
The full account number. Make certain to include any leading zeros
Internal / 3rd Party Underwriting Score
The internal underwriting score, or the 3rd party score (e.g. FICO, Vantage, etc.)
Performance Information Performance information should be included with every application that has sufficiently matured.
Offer / Requested Amount
The dollar amount of the offer, or the total dollar amount requested
Payment Terms
How often will the borrower make payments (daily, weekly, monthly)
Payment Amount
The dollar amount of each payment
Paid Back Amount
Either at default or to-date if not yet finalized, but stll in good standing
Default Flag
First Pay Date / Missed Date
Charge-off Flag / Date of Charge Off
The charge-off date
Pay off Early Flag
Flag if it has been paid off early
Refinance / Renewal Customer Flag
Flag if the customer is a renewal or refinance
Fraud Flag Reasons
Any fraud flag reasons, if available
Bank Transaction Data Raw transaction data transmitted as individual files tied to the Unique ID on the application/performance file. Make sure the following information is included:
Transaction Description
Dollar Amount
Credit or Debit
Running Balance
Submit your data
Compile all above information into a pipe-delimited file. The order of the columns or type of data included is not specific, but please include mapping (such as a header record) that indicates what each field is
Results
Data analysis results are typically returned to client in 3-6 weeks, depending on the scope of the project.
Upon conclusion of the data analysis, RIBBIT will present the following analysis findings:
BankVERIFY+ Results
Review data insights and predictive performance of results, including distribution of Recommended Action Codes
Implementation Guidance
Recommend how to implement BankVERIFY+ into application flow
Data Findings
Data analysis results are typically returned to client in 4-6 weeks, depending on the scope of the project.
Upon conclusion of the data analysis, RIBBIT will present the following analysis findings:
BankLOGIN+ Results
Review retro, data insights, and predictive performance of results
Implementation Guidance
Recommend how to implement BankLOGIN+ into application flow
Data Results
BankLOGIN+ attributes are separated into nine modules which are designed to address specific use cases.
Each module aggregates one or more accounts from a single or multiple institution(s) to provide complete financial wellness of a consumer or business applicant.
Attributes are returned with Risk Scores between 100-300 (high to low risk) along with Reason Codes to provide additional context for the Risk Score.
The following attribute models are returned:
KYC/Contact
A suite of ~900 attributes designed to provide validation and fraud metrics about an applicant’s PII against their bank account(s) and credentials.
Useful for KYC, fraud modeling (first party, third party, ATO, etc.), and credit risk account management.
Account/Balance
A suite of ~500 attributes that provides current snapshot status of an account(s) along with a deeper profile of the trended history in the account.
Information about day of week, weekly, and monthly statistics are also included.
Inflows
A suite of ~2,200 attributes that details the inflow behavior for the account(s) and looks at key categories of inflows including payroll, transfers, savings, cash management, taxes, and other groups.
The attributes are trended at a daily, weekly, and monthly level and include activity by binned inflow amounts.
Outflows
A suite of ~1,700 attributes that details the outflow behavior for the account(s) and looks at binned outflow amounts that are trended at a daily, weekly, and monthly level.
Day of week specific outflow activity is especially useful for optimizing ACH withdrawals.
Overdraft
A suite of ~225 attributes that details the account specific as well as combined account level overdraft behavior.
Current status, counts, trends, and historical overdrafts are calculated against day of week, weekly, and monthly behavior.
Affordability
A suite of ~350 attributes unique in the bank transaction space that provides a detailed look at daily, weekly, biweekly, and monthly spending obligations balanced against non-obligated spending.
Specific metrics look at counts, amounts, overdrafts, and trend the affordability for each obligation type.
Behavior
A suite of ~1,500 attributes describing the behavior of cash flow usage over the length of the inflow to outflow to inflow cycle.
RIBBIT cycle behavior is aggregated into similar clusters and types to generate attributes that compare recent vs overall activity.
Summary
A suite of ~100 quick-start credit policy and summary statistics.
Information provided includes KYC flags, income estimators, affordability recommendations, detailed inflows and obligated spending, and weekly and day of week metrics.
Generic Scores
Generic scores for the consumer, small business, and e-commerce/retail industries are available.
Each score is built from a combination of real lender and retailer outcomes and weighed against actual bank behavior response codes.
The result are scores for early and later default as well as fraud and charge off use that provide a quick-start with strong rank ordering.
Next Steps
Integration Guide
Find out what is required to integrate BankVERIFYLOGIN+ into your platform
Reach out to us with questions
If you have additional questions, reach out to your RIBBIT contact
For technical questions, contact support at support@RIBBIT.ai
