battles / Fraud
Eye4Fraud vs Vesta
Eye4Fraud ($500/mo/mo, vibe code 3/10) vs Vesta ($1,500/mo/mo, vibe code 3/10). Eye4Fraud is the easier one to rebuild yourself — here is what you lose either way.
Fraud
$500/mo/mo
- MVP
- 1 week
- Full replacement
- Never — chargeback financial liability cannot be replaced with software
easier to rebuild
get the build prompt →Fraud
$1,500/mo/mo
- MVP
- 1 week
- Full replacement
- Never, due to chargeback financial underwriting and proprietary global risk network
price gap / year
$12,000/mo
running both / year
$24,000/mo
our call
Start with Eye4Fraud — highest vibe code, weakest moat.
Eye4Fraud
Building a rule engine for fraud scoring in Cursor takes days, but Eye4Fraud's core value is financial insurance and global intelligence. AI cannot write checks to cover $5,000 chargeback disputes when a stolen card slips through custom rules.
you can rebuild
- Basic order risk scoring engine
- Rules-based transaction flagging (AVS, CVV, IP matching)
- Customer order review dashboard for operations staff
- Email notifications for suspicious order holds
- E-commerce platform webhook listeners for pending orders
what you lose
- 100% chargeback guarantee and financial reimbursement
- Cross-merchant network intelligence on stolen identity reuse
- Human fraud analyst manual review service
- Automated dispute handling and representation with banks
- Device fingerprinting database across thousands of stores
real moats
- Financial underwriting capacity to absorb chargeback losses
- Proprietary cross-merchant fraud graph and device telemetry
- Human analyst operations network for edge cases
open source escape hatches
- MaxMind minFraud Node API Apache-2.0
- MindsDB GPL-3.0
- PostHog MIT
Vesta
While building a device fingerprint collector and rule-based risk dashboard takes days, Vesta's core offering is zero-liability financial guarantees and cross-merchant network signals. AI agents cannot generate financial underwriting balance sheets or billions of historical fraud data points.
you can rebuild
- Basic rule-based risk scoring engine (velocity, country blocklists)
- Client-side device fingerprinting collector script
- Order approval and rejection queue for manual review
- IP geolocation, proxy, and VPN detection API integration
- Threshold-based 3D Secure dynamic triggers
what you lose
- 100% zero-liability chargeback reimbursement guarantee
- Cross-merchant consortium dataset tracking fraudsters across thousands of stores
- Machine learning models trained on billions of historical card transactions
- Automated chargeback evidence submission and dispute handling
- Dedicated fraud analyst teams and custom enterprise risk models
real moats
- Financial balance sheet supporting chargeback indemnification
- Global cross-merchant graph dataset linking identities, devices, and cards
- Proprietary ML models trained on real-world dispute outcomes
open source escape hatches
- FingerprintJS (Open Source) MIT
- Ruru Engine Apache-2.0
- Zen Engine MIT
Questions people ask
Which is easier to rebuild with AI, Eye4Fraud or Vesta?
Eye4Fraud. It scores 3/10 on vibe code with a moat of 6/10, so an AI-assisted MVP takes about 1 week and a full replacement about Never — chargeback financial liability cannot be replaced with software.
Which one costs less, Eye4Fraud or Vesta?
Eye4Fraud at $500/mo/mo for a typical mid-market store. The gap between the two is about $12,000/mo a year.
What do I lose if I replace Eye4Fraud?
100% chargeback guarantee and financial reimbursement Cross-merchant network intelligence on stolen identity reuse Human fraud analyst manual review service
What do I lose if I replace Vesta?
100% zero-liability chargeback reimbursement guarantee Cross-merchant consortium dataset tracking fraudsters across thousands of stores Machine learning models trained on billions of historical card transactions
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