battles / Fraud
Eye4Fraud vs Trustfull
Eye4Fraud ($500/mo/mo, vibe code 3/10) vs Trustfull ($2,500/mo/mo, vibe code 5/10). Trustfull 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
$2,500/mo/mo
- MVP
- 2-3 weeks
- Full replacement
- 6-9 months
easier to rebuild
get the build prompt →price gap / year
$24,000/mo
running both / year
$36,000/mo
our call
Start with Trustfull — 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
Trustfull
AI can write a full-featured risk rule engine and signal aggregation service in a afternoon. However, you cannot easily replicate Trustfull's underlying access to direct mobile carrier networks, HLR lookups, and global breach databases without paying high third-party data fees.
you can rebuild
- Custom risk scoring rule builder and threshold evaluation engine.
- Basic IP risk lookup (VPN/Tor/Proxy detection via public databases).
- Email syntactical analysis, disposable domain checks, and MX record verification.
- Redis-based velocity tracking for identity fields (e.g., requests per phone number per hour).
- Audit logging and structured API response formatting.
what you lose
- Direct access to real-time mobile network operator (HLR/SS7) data without setting up separate vendor contracts.
- Cross-merchant global reputation data on fraudulent phone numbers and email addresses.
- Unified billing and SLA management for multi-signal data sources.
- Pre-built compliance workflows for European privacy standards (GDPR) regarding identity lookups.
real moats
- Proprietary integrations and wholesale volume rates with international HLR/telecom data aggregators.
- Aggregated historical data on phone/email reputation built across millions of evaluation requests.
- Low-latency global API infrastructure serving unified risk responses under 100ms.
open source escape hatches
- FraudLabs / open rules engines (Drools) Apache-2.0
- Feedzai alternatives — River BSD-3
- MaxMind minFraud open clients Apache-2.0
Questions people ask
Which is easier to rebuild with AI, Eye4Fraud or Trustfull?
Trustfull. It scores 5/10 on vibe code with a moat of 7/10, so an AI-assisted MVP takes about 2-3 weeks and a full replacement about 6-9 months.
Which one costs less, Eye4Fraud or Trustfull?
Eye4Fraud at $500/mo/mo for a typical mid-market store. The gap between the two is about $24,000/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 Trustfull?
Direct access to real-time mobile network operator (HLR/SS7) data without setting up separate vendor contracts. Cross-merchant global reputation data on fraudulent phone numbers and email addresses. Unified billing and SLA management for multi-signal data sources.
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