Score any card BIN for fraud risk and rebill value, and get an instant approve / decline / push decision — with the reasons behind it. Sub-millisecond API for payment, fraud and affiliate teams.
Hey Product Hunt! 👋
I'm Mykyta, the founder of BillionCore. Excited to finally share this here.
The backstory: I built this after getting frustrated with existing BIN lookup solutions — slow (50-200ms), expensive, and they return raw issuer data you still have to interpret yourself. That's not a decision, that's homework.
What BillionCore actually returns now:
One API call with your profile, vertical and price gives you back:
A decision — FORCE / KEEP / AVOID for affiliates, APPROVE / REVIEW / DECLINE for fraud teams
Full economics per BIN: projected rebills, LTV per approved, ROI%, EV per approved, breakeven payout, profit grade
Benchmarks: where this BIN sits vs the universe on first rebill, chargeback rate and risk score
Routing intelligence: 3DS recommendation, acquirer/MID routing notes
All of this in under 1ms. BIN-only — never touches the full card number.
Example: BIN 453998, nutra vertical, $49.99 price → FORCE, 81% approval likelihood, 1.38 projected rebills, $67.28 LTV, 236% ROI. That's a buying decision, not a data point.
Who it's for: affiliate managers, media buyers, fraud and payments teams who are tired of guessing which cards to trust.
Live demo on the homepage — no signup, try it right now.
Happy to answer anything about the tech, the data model or the roadmap. What does your current BIN workflow look like? 🚀
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