battles / Fraud
NoFraud vs Riskified
NoFraud ($250/mo/mo, vibe code 5/10) vs Riskified ($2,500/mo/mo, vibe code 3/10). 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
$2,500/mo/mo
- MVP
- 1-2 weeks (Scoring engine only, no guarantee)
- Full replacement
- Impossible (Financial/Insurance Model)
price gap / year
$27,000/mo
running both / year
$33,000/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
Riskified
Riskified is not a software company; it is a financial guarantor that uses AI to price risk. Building the transaction classification model takes days, but taking on the financial liability of millions in chargebacks requires a balance sheet, not a script.
you can rebuild
- Browser fingerprinting and device velocity tracking script.
- Rule-based fraud evaluation engine (e.g. shipping/billing country mismatch).
- Shopify fulfillment hold integration based on risk thresholds.
- Order review dashboard for manual fraud analysts.
- Automated representment documentation compiler for payment processors.
what you lose
- 100% financial reimbursement for fraudulent chargebacks approved by the engine.
- Global merchant network graph covering tens of millions of cross-store identities.
- Direct relationships with major acquiring banks for payment routing exemptions.
- Turnkey liability transfer—store operations teams don't handle fraud disputes.
- Zero-friction dynamic checkout escalation protocols (Adaptive Checkout).
real moats
- Balance sheet capitalization to underwrite chargeback losses at enterprise scale.
- Cross-merchant global behavioral network data accumulated over a decade.
- Contractual risk-transfer agreement with enterprise merchants shift balance sheet liability.
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 Riskified?
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 Riskified?
NoFraud at $250/mo/mo for a typical mid-market store. The gap between the two is about $27,000/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 Riskified?
100% financial reimbursement for fraudulent chargebacks approved by the engine. Global merchant network graph covering tens of millions of cross-store identities. Direct relationships with major acquiring banks for payment routing exemptions.
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