battles / Fraud
FraudNet vs Sift
FraudNet ($899/mo/mo, vibe code 5/10) vs Sift ($12,500/mo/mo, vibe code 4/10). FraudNet 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)
easier to rebuild
get the build prompt →Fraud
$12,500/mo/mo
- MVP
- 2-3 weeks
- Full replacement
- 9-18 months
price gap / year
$139,212/mo
running both / year
$160,788/mo
our call
Start with FraudNet — 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
Sift
An AI coding agent can write a custom rule engine, device fingerprinting intake, and XGBoost fraud scoring API in a couple of weeks. However, you cannot replicate Sift's global data network, which uses cross-merchant behavioral signals across 34,000+ sites to stop fraud on arrival.
you can rebuild
- Client-side JS snippet integration for basic device signal capture
- Custom rule builder for block/allow lists (e.g., country code matching, velocity limits)
- Real-time scoring API endpoint returning risk numbers (0-100)
- Manual investigation review queue console for fraud analysts
- Shopify and Magento webhook trigger integrations
what you lose
- Access to Sift's global consortium data tracking over 1 billion unique digital personas
- Pre-trained cross-merchant Account Takeover (ATO) and identity theft detection models
- Sift ActivityIQ generative AI pattern detection across global network events
- Out-of-the-box integrations with major enterprise processors (Adyen, Stripe, PayPal) and platforms
- Automated continuous machine learning retraining on global chargeback data
real moats
- Global Consortium Network: Shared signal intelligence across thousands of global enterprises processing 70B+ events monthly.
- Petabyte-Scale Behavioral Graph: Historical link analysis linking IPs, device hashes, credit card bins, and shipping addresses across decades.
- Zero-Day Fraud Vector Detection: Ability to detect novel botnet and account takeover patterns before individual merchants experience them.
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 Sift?
FraudNet. It scores 5/10 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 cross-merchant global transaction network and device intelligence).
Which one costs less, FraudNet or Sift?
FraudNet at $899/mo/mo for a typical mid-market store. The gap between the two is about $139,212/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 Sift?
Access to Sift's global consortium data tracking over 1 billion unique digital personas Pre-trained cross-merchant Account Takeover (ATO) and identity theft detection models Sift ActivityIQ generative AI pattern detection across global network events
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