battles / Fraud
Riskified vs Sift
Riskified ($2,500/mo/mo, vibe code 3/10) vs Sift ($12,500/mo/mo, vibe code 4/10). Sift is the easier one to rebuild yourself — here is what you lose either way.
Fraud
$2,500/mo/mo
- MVP
- 1-2 weeks (Scoring engine only, no guarantee)
- Full replacement
- Impossible (Financial/Insurance Model)
Fraud
$12,500/mo/mo
- MVP
- 2-3 weeks
- Full replacement
- 9-18 months
easier to rebuild
get the build prompt →price gap / year
$120,000/mo
running both / year
$180,000/mo
our call
Start with Sift — highest vibe code, weakest moat.
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
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, Riskified or Sift?
Sift. It scores 4/10 on vibe code with a moat of 9/10, so an AI-assisted MVP takes about 2-3 weeks and a full replacement about 9-18 months.
Which one costs less, Riskified or Sift?
Riskified at $2,500/mo/mo for a typical mid-market store. The gap between the two is about $120,000/mo a year.
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.
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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