Solutions
Reliable pipelines from bank feed normalization to cash scores
Architecture notes for turning normalized bank feeds into Cashytics envelopes at scale — for data teams wiring ingestion.
The hardest part of cash APIs is rarely the POST — it is hygiene upstream. This guide frames how to map Plaid-like categories into envelope fields so scores remain stable when feed vendors tweak labels.
Idempotency and replays
Design ingestion so you can replay a month safely when a feed vendor corrects history. Store envelope versions with hashes keyed by account and statement period.
Use dead-letter queues for rows that fail validation instead of silently dropping them — silent drops are the fastest way to corrupt scores.
Category mapping governance
Version your mapping tables and require code review for changes. Alert downstream analytics when mappings change so model risk can re-validate cohort trends.
Multi-bank aggregation
When entities use several banks, merge only after each feed normalizes to the same internal taxonomy so one bank’s quirks do not dominate the score.
Latency budgets
Separate batch scoring from interactive flows. Interactive UX may need cached scores refreshed hourly while underwriting gets fresh POSTs on demand.
FAQ
- Our aggregator changed merchant names — will scores jump?
- They can if categorization depends on brittle string rules. Prefer stable merchant ids from your aggregator when available and regression-test mapping changes against golden envelopes.