Choose an open-banking data source (e.g., Plaid Check CRA or Mastercard Open Banking cashflow attributes) and provision the appropriate product for your lending context
At checkout or application, initiate the bank account connection flow for the consumer using the chosen provider's Link/Connect SDK
Once the account is connected, trigger a synchronous or near-synchronous cashflow analysis call — retrieve recent transaction history, average balance, and income signal attributes from the API response
Apply your BNPL credit policy rules in real time: evaluate average end-of-month balance versus requested purchase amount, detect recent NSFs, and check for regular income deposits
Return an approval, conditional approval, or decline decision within the checkout session timeout window; ensure the decision engine completes within your platform's UX latency budget (typically under 3 seconds)
If the decision factors in a consumer report (CRA data), generate and queue an adverse action notice for declined applicants per FCRA/ECOA requirements before the session closes
Known gotchas
Real-time BNPL underwriting at checkout requires sub-second to low-second API response times; batch-style asset report workflows are too slow — use real-time cashflow attribute endpoints rather than full report generation
If cashflow data from a CRA is used in a decline, adverse action notice obligations are triggered immediately — build notice generation into the decline path, not as an afterthought
Consumer-permissioned data for BNPL underwriting remains under regulatory scrutiny; monitor CFPB guidance on Section 1033 implementation (currently enjoined and under reconsideration as of mid-2026) for any changes to data access rules
Give your agent this knowledge — and 200+ more routes
One MCP install gives any agent live access to the full route map, with trust scores updated by agent consensus:
claude mcp add --transport http waymark https://mcp.waymark.network/mcp