battles / Fraud
Eye4Fraud vs Subuno
Eye4Fraud ($500/mo/mo, vibe code 3/10) vs Subuno ($149/mo/mo, vibe code 6/10). Subuno 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
$149/mo/mo
- MVP
- 1 week
- Full replacement
- 6-12 months, due to third-party API integration maintenance and continuous rule optimization
easier to rebuild
get the build prompt →price gap / year
$4,212/mo
running both / year
$7,788/mo
our call
Start with Subuno — 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
Subuno
Subuno's underlying tech is an IF/THEN rules engine connected to third-party identity/risk lookup services. Rebuilding the UI and rule execution in Node.js is trivial, but maintaining contracts, schema mappings, and API keys for a dozen external fraud vendors is not worth the overhead for most merchants.
you can rebuild
- Custom IF/THEN rule engine for flagging high-risk orders
- Manual order review queue with approve/reject actions
- Email alerts and webhook triggers for flagged transactions
- Basic IP geolocation and address verification (AVS) checks
- Custom merchant-defined whitelists and blacklists
what you lose
- Pre-integrated access to 15+ external fraud data providers
- Unified billing and unified payload normalization across third-party identity APIs
- Cross-merchant shared bad-actor detection network
- Zero-maintenance e-commerce store platform plugins
- Turnkey automated order status updating in connected store platforms
real moats
- Aggregated integration maintenance across a broad mesh of specialized risk APIs
- Cross-merchant shared blacklists and fraud signal history
- Low subscription fee relative to managing multi-vendor API overhead directly
open source escape hatches
- json-rules-engine MIT
- Ruru MIT
- Activepieces MIT
Questions people ask
Which is easier to rebuild with AI, Eye4Fraud or Subuno?
Subuno. It scores 6/10 on vibe code with a moat of 3/10, so an AI-assisted MVP takes about 1 week and a full replacement about 6-12 months, due to third-party API integration maintenance and continuous rule optimization.
Which one costs less, Eye4Fraud or Subuno?
Subuno at $149/mo/mo for a typical mid-market store. The gap between the two is about $4,212/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 Subuno?
Pre-integrated access to 15+ external fraud data providers Unified billing and unified payload normalization across third-party identity APIs Cross-merchant shared bad-actor detection network
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