From transaction data torules that cut chargebacks

No. FraudPulse works alongside Stripe Radar, Shopify Flow, Blockify, and Adyen RevenueProtect. Those products enforce or automate decisions at checkout. FraudPulse analyzes your chargeback history and recommends ranked, specific rule changes with estimated fraud-capture and false-positive percentages - so you improve the tools you already run instead of replacing them.

FraudPulse connects to transaction data from Shopify, Stripe, or Adyen, then analyzes chargebacks, friendly fraud, and false declines. You get ranked rule changes and actions to apply in your existing payment stack - not a replacement for the tools that approve or decline at checkout.

Most merchants receive prioritized fraud rule recommendations within days of connecting transaction data. FraudPulse reviews your chargeback and friendly-fraud patterns, then returns ranked changes with estimated chargeback and false-positive impact so your team can act quickly.

No. You can connect via API, CSV upload, or native integrations without a migration project. Recommendations are written for operators to turn into rules and actions in the systems they already run, so risk and payments teams can usually implement changes without a full engineering sprint.

FraudPulse analyzes transaction history, chargebacks, dispute reason codes, and approval-loss patterns from your payment stack. The goal is to find which rules and signals reduce chargebacks and friendly fraud, which create false positives, and what to change next.

Prevention stops disputes from being filed. Representment fights cases after they file - Chargeflow, Chargebacks911, Midigator, Justt, Ethoca, and Verifi sit in that category. Many stores need both, but a high dispute rate is a prevention problem first. FraudPulse is prevention and rule advice, not representment.