Fintech / payments
Connect payment and merchant data, build four dashboards, and monitor volume, fraud, and settlements — modeled on PayStream.
4 to build
Dashboard + chat
Risk, Operations
Vizkraft — Fintech / payments
Works with
Pick whichever connector your team already uses.
What it does
Surfaces payment volume, approval rates, fraud signals, merchant performance, and settlement health in dashboards and chat. Built for payment platforms that need ops and risk visibility without building a BI stack from scratch.
How it works
- 1
Connect payment data
Add PostgreSQL and index transactions, merchants, settlements, and dispute tables.
- 2
Mark high-signal tables
Prioritize payments, merchants, chargebacks, and settlement batches during indexing.
- 3
Monitor volume and risk
Ask "What is payment approval rate by merchant tier this week?" or chargeback trends by reason.
- 4
Build four ops dashboards
Cover payment volume, fraud & chargebacks, merchant performance, and settlement operations.
Dashboards to build
Payment volume & success
Volume, approval rate, and decline reasons over time.
Fraud & chargebacks
Chargeback rate, reason codes, and flagged merchants.
Merchant performance
GMV, approval rate, and tier mix by merchant.
Settlement operations
Batch status, lag, and reconciliation exceptions.
Questions to try
- “What is payment approval rate by merchant tier this week?”
- “Show chargeback volume by reason code for the last 90 days.”
- “Which merchants have the highest decline rate this month?”
Setup
- Connect PostgreSQL with payment, merchant, and settlement schemas.
- Mark transactions, merchants, chargebacks, and settlements during indexing.
- Use connector memory for custom approval-rate or fraud definitions.
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Stop waiting on engineering for reports.
Most of our customers were ops or CS leads who'd been blocked for weeks. They booked a demo, connected their database in 10 minutes, and never looked back.