battles / Fraud
Accertify vs Sift
Accertify ($5,000/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
$5,000/mo/mo
- MVP
- 2 weeks
- Full replacement
- 12-24 months, with missing cross-merchant threat data and lack of chargeback dispute automation
Fraud
$12,500/mo/mo
- MVP
- 2-3 weeks
- Full replacement
- 9-18 months
easier to rebuild
get the build prompt →price gap / year
$90,000/mo
running both / year
$210,000/mo
our call
Start with Sift — highest vibe code, weakest moat.
Accertify
Building a custom rules engine with an AI assistant takes a couple of weeks, but Accertify's moat is its vast cross-merchant transaction database and hardware fingerprint network. An isolated self-hosted application has no access to global stolen card data or collective threat intelligence. You can easily build the admin workflow, but your fraud engine will be blind to external threat actors.
you can rebuild
- Manual order review queue and analyst decision workflow UI
- Custom merchant-defined risk scoring rules engine
- Basic velocity checking and IP geolocation distance verification
- Webhook triggers to hold or release risky orders in ecommerce backends
- Basic analytics dashboards tracking approved versus flagged transactions
what you lose
- Cross-merchant global transaction and stolen card threat network
- Automated chargeback representment and dispute resolution pipelines
- Hardware-level mobile and web browser device fingerprinting SDKs
- Dedicated 24/7 enterprise threat analyst team and performance SLAs
- Pre-built processor and card brand network dispute connections
real moats
- Proprietary cross-merchant fraud signals accumulated across billions of checkout events
- Direct integrations with issuing banks and chargeback networks
- Contractual performance SLAs and financial chargeback protection options
open source escape hatches
- Zeek BSD-3-Clause
- PostHog MIT
- Fraud-Detection-System (Community) MIT
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, Accertify 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, Accertify or Sift?
Accertify at $5,000/mo/mo for a typical mid-market store. The gap between the two is about $90,000/mo a year.
What do I lose if I replace Accertify?
Cross-merchant global transaction and stolen card threat network Automated chargeback representment and dispute resolution pipelines Hardware-level mobile and web browser device fingerprinting SDKs
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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