battles / Fraud
Sardine vs Shield
Sardine ($1,500/mo/mo, vibe code 3/10) vs Shield ($2,000/mo/mo, vibe code 4/10). Shield is the easier one to rebuild yourself — here is what you lose either way.
Fraud
$1,500/mo/mo
- MVP
- 2 weeks
- Full replacement
- Never — requires proprietary global device graph data and ML models trained on billions of cross-merchant sessions.
Fraud
$2,000/mo/mo
- MVP
- 1 week
- Full replacement
- Never (requires global cross-merchant network dataset)
easier to rebuild
get the build prompt →price gap / year
$6,000/mo
running both / year
$42,000/mo
our call
Start with Shield — highest vibe code, weakest moat.
Sardine
Sardine relies on low-level device telemetry (typing cadence, accelerometer data, canvas fingerprinting) cross-referenced against millions of global transactions. An AI-built alternative lacks the cross-merchant data consortium required to catch sophisticated fraud rings and stolen credentials.
you can rebuild
- Custom static risk rules (e.g., flag orders over $500 with mismatched billing/shipping)
- Basic IP geolocation and proxy/VPN detection checks
- Dashboard UI for manual order review and approval workflows
- Basic velocity checking (e.g., card attempts per IP per hour)
- Email domain validation and disposable email domain checks
what you lose
- Global cross-merchant device fingerprinting and risk identity graph
- Behavioral biometrics tracking (hesitation, typing cadence, paste detection, mouse movement patterns)
- Real-time bank account and crypto-onramp risk intelligence
- Automated machine learning models trained on millions of fraud outcomes
- Zero-day fraud attack pattern detection across peer networks
real moats
- Cross-merchant shared identity and fraud intelligence graph
- Patented behavioral biometric feature extraction algorithms
- Integrated AML, sanctions screening, and chargeback guarantee coverage
open source escape hatches
- FingerprintJS Open Source BNSL-1.1
- MaxMind GeoIP2 Apache-2.0
- FraudLabs Pro SDK MIT
Shield
Shield relies on global device telemetry pooled across thousands of applications to spot bad actors. While an AI agent can generate a local browser fingerprinting script in minutes, an isolated application cannot replicate Shield's global fraud graph, emulator detection updates, or proxy intelligence.
you can rebuild
- Basic browser attribute collection script
- Rule-based threshold scoring (e.g., flag orders over $500)
- IP geolocation lookup integration
- Manual fraud review queues and admin UI
- Webhook notifications for flagged orders
what you lose
- Global cross-merchant malicious device registry
- Advanced Android and iOS emulator detection
- Real-time behavioral biometrics analysis (typing/tap cadence)
- Continuous arms-race counter-measures against browser spoofing extensions
- Low false-positive ML models trained on billions of sessions
real moats
- Global cross-merchant dataset of device IDs and associated fraud events
- Dedicated reverse-engineering research team tracking native OS exploits
- Proprietary ML scoring infrastructure operating sub-50ms globally
open source escape hatches
- FingerprintJS BBSL
- MaxMind GeoIP2 Apache-2.0
- Apache SpamAssassin Apache-2.0
Questions people ask
Which is easier to rebuild with AI, Sardine or Shield?
Shield. It scores 4/10 on vibe code with a moat of 7/10, so an AI-assisted MVP takes about 1 week and a full replacement about Never (requires global cross-merchant network dataset).
Which one costs less, Sardine or Shield?
Sardine at $1,500/mo/mo for a typical mid-market store. The gap between the two is about $6,000/mo a year.
What do I lose if I replace Sardine?
Global cross-merchant device fingerprinting and risk identity graph Behavioral biometrics tracking (hesitation, typing cadence, paste detection, mouse movement patterns) Real-time bank account and crypto-onramp risk intelligence
What do I lose if I replace Shield?
Global cross-merchant malicious device registry Advanced Android and iOS emulator detection Real-time behavioral biometrics analysis (typing/tap cadence)
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