Prism Data offers FCRA-compliant CashScore analytics trained across large lender consortium datasets, giving banks and fintechs orthogonal risk signal beyond traditional bureau scores.
The platform integrates through APIs, aggregators, CRAs, and decision engines, and publishes explainable adverse-action reasons that support approve, decline, and pricing use cases.
Cash flow underwriting depends on permissioned bank data availability, so applicants who decline account linking or lack aggregator coverage may not receive a complete CashScore evaluation.
Lenders still need to combine Prism outputs with bureau data, product policy, and compliance review rather than treating transaction scores as a standalone credit system.
Open banking adoption and rising BNPL and cash-advance obligations outside bureau files are increasing demand for deposit-based underwriting among banks, credit unions, and consumer lenders.
Prism Data is expanding distribution through partners such as DigiFi and Engine by Gen while continuing product work on income, categorization, and fraud detection modules.
