battles / Fraud
Eye4Fraud vs Shield
Eye4Fraud ($500/mo/mo, vibe code 3/10) vs Shield ($2,000/mo/mo, vibe code 4/10). Shield 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
Fraud
$2,000/mo/mo
- MVP
- 1 week
- Full replacement
- Never (requires global cross-merchant network dataset)
easier to rebuild
get the build prompt →price gap / year
$18,000/mo
running both / year
$30,000/mo
our call
Start with Shield — 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
Shield
Shield relies on global device telemetry pooled across thousands of applications to spot bad actors. While an AI agent can generate a local browser fingerprinting script in minutes, an isolated application cannot replicate Shield's global fraud graph, emulator detection updates, or proxy intelligence.
you can rebuild
- Basic browser attribute collection script
- Rule-based threshold scoring (e.g., flag orders over $500)
- IP geolocation lookup integration
- Manual fraud review queues and admin UI
- Webhook notifications for flagged orders
what you lose
- Global cross-merchant malicious device registry
- Advanced Android and iOS emulator detection
- Real-time behavioral biometrics analysis (typing/tap cadence)
- Continuous arms-race counter-measures against browser spoofing extensions
- Low false-positive ML models trained on billions of sessions
real moats
- Global cross-merchant dataset of device IDs and associated fraud events
- Dedicated reverse-engineering research team tracking native OS exploits
- Proprietary ML scoring infrastructure operating sub-50ms globally
open source escape hatches
- FingerprintJS BBSL
- MaxMind GeoIP2 Apache-2.0
- Apache SpamAssassin Apache-2.0
Questions people ask
Which is easier to rebuild with AI, Eye4Fraud or Shield?
Shield. It scores 4/10 on vibe code with a moat of 7/10, so an AI-assisted MVP takes about 1 week and a full replacement about Never (requires global cross-merchant network dataset).
Which one costs less, Eye4Fraud or Shield?
Eye4Fraud at $500/mo/mo for a typical mid-market store. The gap between the two is about $18,000/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 Shield?
Global cross-merchant malicious device registry Advanced Android and iOS emulator detection Real-time behavioral biometrics analysis (typing/tap cadence)
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