Petal as Cashflow Scoring API
Petal
The real prize is not another starter credit card, it is owning the scoring layer that other lenders plug into when bureau data is too thin to be useful. Petal already built CashScore for its own card, by pulling a consumer’s bank transaction history, sorting income, spending, and savings patterns, and turning that into a credit decision. Packaging that into Prism Data turns an internal underwriting model into infrastructure that can sit inside many different decision flows.
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This sits one layer above bank connectivity. Plaid and other aggregators help a lender fetch account data, but the harder job is converting messy transaction feeds into an approval signal a risk team can trust. Prism Data is aimed at that higher value step, where the lender pays for a score, not just access to raw data.
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The strongest proof point is that the product was born inside a live credit program. Petal used bank account cash flow to issue unsecured cards to consumers with thin files, grew from $11M revenue in 2020 to $50M in 2021 and $100M by 2023, then spun that underwriting system out as a separate product.
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If cash flow scoring becomes standardized, the market expands far beyond cards. The same inputs, recurring payroll deposits, rent, bill payments, balance volatility, overdrafts, can be reused in personal loans, tenant screening, insurance pricing, and even home lending. Plaid now offers a consumer report for underwriting, and mortgage workflows have started incorporating cash flow data, which validates the category Petal identified early.
The direction is toward a stack where raw account linking becomes commoditized and the winning layer is the trusted risk API that drops into underwriting software across products. If Prism Data keeps becoming easier for lenders to adopt and keeps proving lift in approvals without worse losses, cash flow scoring can become a standard second file next to the credit bureau.