battles / Fraud
FraudLabs Pro vs Sift
FraudLabs Pro ($99/mo/mo, vibe code 6/10) vs Sift ($12,500/mo/mo, vibe code 4/10). FraudLabs Pro is the easier one to rebuild yourself — here is what you lose either way.
Fraud
$99/mo/mo
- MVP
- 3 days
- Full replacement
- Never fully replaceable without proprietary cross-merchant fraud signals
easier to rebuild
get the build prompt →Fraud
$12,500/mo/mo
- MVP
- 2-3 weeks
- Full replacement
- 9-18 months
price gap / year
$148,812/mo
running both / year
$151,188/mo
our call
Start with FraudLabs Pro — highest vibe code, weakest moat.
FraudLabs Pro
Coding a custom rule evaluation engine (e.g., flag order if billing country differs from IP country) is trivial. However, FraudLabs Pro relies on global blacklists, IP risk intelligence, and cross-merchant chargeback data that you cannot replicate in a standalone application.
you can rebuild
- Custom rule builder engine (e.g. IF order > $500 AND shipping != billing THEN flag)
- Manual order review status dashboard and approval queues
- Velocity checking per customer email or IP address
- Disposable email domain blacklisting using static open-source lists
- Automated order hold status updates via e-commerce platform webhooks
what you lose
- Access to a global cross-merchant blacklist of malicious buyers and emails
- Proprietary real-time IP reputation, proxy, VPN, and TOR exit node detection data
- Cross-site device fingerprinting telemetry
- Phone number and carrier risk scoring lookups
- Historical global chargeback statistics associated with individual buyer attributes
real moats
- Proprietary global dataset of reported fraud cases across thousands of online stores
- Network effects: every merchant reporting a chargeback strengthens protection for all other users
- Deep integration with commercial IP intelligence databases (such as IP2Location)
open source escape hatches
- json-rules-engine MIT
- Apache Unomi Apache-2.0
- Rspamd 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, FraudLabs Pro or Sift?
FraudLabs Pro. It scores 6/10 on vibe code with a moat of 6/10, so an AI-assisted MVP takes about 3 days and a full replacement about Never fully replaceable without proprietary cross-merchant fraud signals.
Which one costs less, FraudLabs Pro or Sift?
FraudLabs Pro at $99/mo/mo for a typical mid-market store. The gap between the two is about $148,812/mo a year.
What do I lose if I replace FraudLabs Pro?
Access to a global cross-merchant blacklist of malicious buyers and emails Proprietary real-time IP reputation, proxy, VPN, and TOR exit node detection data Cross-site device fingerprinting telemetry
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
More battles
One e-commerce SaaS teardown every week.
Honest verdicts, build prompts and overlooked vertical SaaS opportunities. No tracking pixels, no drip sequence, unsubscribe in one click.
free forever · no third-party tracking · the prompts stay public