# Banking & Financial Data

The banking data layer is where Indian fintech gets its sharpest signals. Real-time transaction data from bank statements, UPI history, and Account Aggregator feeds reveals income, expenses, balance volatility, and fraud patterns that credit bureaus can't show. For lenders, payments companies, and fraud teams, reliable access to this data is table stakes.

India's Account Aggregator framework, live since 2021, made consented machine-to-machine access to banking data real for the first time. Combined with the UPI transaction graph — over 14 billion monthly transactions and counting — Indian fintech operates on a banking-data infrastructure that doesn't exist anywhere else in the world.

Deepvue's banking infrastructure includes Account Aggregator integrations, bank statement analysis APIs that parse PDF and digital statements with production-grade accuracy, UPI verification for payment validation, IFSC code validation, bank account verification via penny-drop and penny-less methods, and cheque OCR for document-based flows.

This hub covers how to access banking data legally and reliably, how to analyze it for underwriting and fraud signals, and how the Account Aggregator ecosystem is evolving. Featured content below walks through the common use cases — cash flow lending, fraud detection, income verification, working-capital underwriting.

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Source: https://deepvue.ai/topics/banking-data/