Assess loan applicants with banking data and AI-generated eligibility verdicts.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "FinScreen" yet — see the docs or source repo.
Use FinScreen to read this applicant's Plaid banking data, analyze the last 6 months of income, expenses, cash flow stability, and debt situation, then return a structured verdict on whether to move the application to the next review stage, including risk factors and rationale.
A structured loan pre-screening result with eligibility verdict, key financial metrics, major risks, and review recommendation.
Use FinScreen to extract the applicant's bank transactions from the past 12 months, identify payroll patterns, monthly fluctuations, unusually large expenses, and overdraft records, then judge whether the cash flow is sufficient to support repayment of a new loan.
An analysis of cash flow stability with repayment capacity judgment and unusual transaction flags.
Use FinScreen to summarize the applicant's account balances, income sources, fixed expenses, and debt information, then return an approve, reject, or manual review verdict with clear fields for reasons, risk level, and recommended conditions.
A standardized eligibility verdict that helps loan officers make quick decisions or escalate for manual review.
Query Personal Capital accounts, net worth, transactions, and allocations in natural language.
Connect to ClearFi to search transactions, track bills, and analyze spending.
Query real-time market data, rates, portfolios, and financial analysis from Finhay.
Access US filings, rates, labor stats, and economic indicators for analysis.
Connect bank data so AI can answer questions about transactions and balances.
Connect Clear to AI for balances, statements, cards, and investment data.