battles / Fraud
NoFraud vs Signifyd
NoFraud ($250/mo/mo, vibe code 5/10) vs Signifyd ($2,000/mo/mo, vibe code 5/10). NoFraud is the easier one to rebuild yourself — here is what you lose either way.
Fraud
$250/mo/mo
- MVP
- 2-3 weeks
- Full replacement
- 12-18 months
easier to rebuild
get the build prompt →Fraud
$2,000/mo/mo
- MVP
- 2-3 weeks
- Full replacement
- 12-18 months
price gap / year
$21,000/mo
running both / year
$27,000/mo
our call
Start with NoFraud — highest vibe code, weakest moat.
NoFraud
NoFraud (Wyllo) is fundamentally an insurance product wrapped in an API. While the order scoring and Shopify tagging features can be cloned with standard LLM tools in a couple of weeks, you cannot write code that underwrites thousands of dollars in credit card chargebacks.
you can rebuild
- Automated order risk scoring based on standard rules (IP, distance, proxy, email).
- Shopify order tagging and automatic cancellation API triggers.
- Manual order review dashboard with signal visualizations.
- Basic velocity and heuristic-based risk engine.
what you lose
- 100% financial reimbursement guarantee on fraudulent chargebacks passed by the engine.
- 24/7 human analyst team conducting manual order reviews on borderline transactions.
- Network-level risk detection trained on shared cross-merchant fraud signals.
- Direct chargeback dispute handling and representment operations.
real moats
- Balance sheet capital to guarantee chargeback reimbursements at scale.
- Operational infrastructure of human fraud analysts performing 24/7 manual reviews.
- Consolidated network intelligence across thousands of high-volume e-commerce storefronts.
open source escape hatches
- FraudLabs / open rules engines (Drools) Apache-2.0
- Feedzai alternatives — River BSD-3
- MaxMind minFraud open clients Apache-2.0
Signifyd
You can build the device fingerprinting script, rules engine, and Shopify order-hold webhook with AI in a weekend. What you cannot build is the bank balance required to reimburse merchants when your algorithm misclassifies a $3,000 stolen-card order.
you can rebuild
- Order hold and manual review queue automation
- Device fingerprinting and session analytics collection
- Custom risk-scoring rules engine (IP velocity, address matching, order value limits)
- Webhook routing to Shopify, Magento, and WooCommerce for order cancellation
- Basic chargeback notification webhook listeners
what you lose
- 100% financial chargeback guarantee on approved orders
- Access to Signifyd's 10,000+ merchant global identity graph
- Automated 48-hour chargeback reimbursement payouts
- Third-party enterprise liability offloading for accounting audit compliance
- Dedicated human fraud analysts for manual order re-reviews
real moats
- Balance sheet reserves capable of liquidating millions in chargeback indemnifications monthly.
- Cross-merchant device and identity graph built over a decade across 10,000+ enterprise retailers.
- Direct integrations into card network early-warning feeds (Ethoca, Verifi, RDR).
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, NoFraud or Signifyd?
NoFraud. 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 12-18 months.
Which one costs less, NoFraud or Signifyd?
NoFraud at $250/mo/mo for a typical mid-market store. The gap between the two is about $21,000/mo a year.
What do I lose if I replace NoFraud?
100% financial reimbursement guarantee on fraudulent chargebacks passed by the engine. 24/7 human analyst team conducting manual order reviews on borderline transactions. Network-level risk detection trained on shared cross-merchant fraud signals.
What do I lose if I replace Signifyd?
100% financial chargeback guarantee on approved orders Access to Signifyd's 10,000+ merchant global identity graph Automated 48-hour chargeback reimbursement payouts
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