battles / Fraud
FraudNet vs Trustfull
FraudNet ($899/mo/mo, vibe code 5/10) 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
$899/mo/mo
- MVP
- 1 week
- Full replacement
- Never (Requires cross-merchant global transaction network and device intelligence)
Fraud
$2,500/mo/mo
- MVP
- 2-3 weeks
- Full replacement
- 6-9 months
easier to rebuild
get the build prompt →price gap / year
$19,212/mo
running both / year
$40,788/mo
our call
Start with Trustfull — highest vibe code, weakest moat.
FraudNet
Building a rule engine with MaxMind or Radar APIs takes a weekend, but you cannot replicate FraudNet's global network of shared fraud signals and device fingerprint intelligence. Without global transaction data across thousands of stores, custom AI models hallucinate or generate false positives that destroy legitimate conversion.
you can rebuild
- Rule-based transaction scoring engine (e.g., velocity checks, threshold limits)
- Order risk review dashboard and manual approval workflow
- Blacklisting and whitelisting by email, IP, shipping address, or BIN
- Basic geo-IP mismatch detection and address verification triggers
- Webhook alerts and automated order holding in Shopify or WooCommerce
what you lose
- Cross-merchant network intelligence tracking fraud rings across thousands of stores
- Proprietary device fingerprinting heuristics bypassing browser privacy protections
- Chargeback guarantee coverage options that shift financial liability away from you
- Real-time proxy, VPN, TOR, and residential botnet IP reputation databases
- Continuous machine learning model retrain cycles backed by global dispute feeds
real moats
- Cross-merchant consortium data linking malicious devices and emails across clients
- Proprietary device fingerprinting scripts resilient to modern privacy browsers
- Chargeback liability shifting and financial guarantee models
open source escape hatches
- Zen Engine MIT
- Grule Rule Engine Apache-2.0
- Apache Fineo / Open Threat Feeds Apache-2.0
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, FraudNet 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, FraudNet or Trustfull?
FraudNet at $899/mo/mo for a typical mid-market store. The gap between the two is about $19,212/mo a year.
What do I lose if I replace FraudNet?
Cross-merchant network intelligence tracking fraud rings across thousands of stores Proprietary device fingerprinting heuristics bypassing browser privacy protections Chargeback guarantee coverage options that shift financial liability away from you
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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