ShieldLabs

#2 · SEP 27
Fraud detection and prevention with traffic quality scoring
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About this project

ShieldLabs is fraud detection and prevention with traffic quality scoring. It detects users running multiple accounts, account sharing and takeovers under any masking, so you prevent losses from free-trial, bonus, promo and API abuse.

How it works

  • Add a JavaScript snippet or SDK (React, Next.js, Vue, WordPress, Shopify, Node.js, Python, Go, PHP) in about five minutes.
  • On every visit, 100+ device and network signals are collected and cross-checked.
  • You get a persistent visitor ID, named risk signals (VPN, proxy, Tor, datacenter IP, anti-detect browser, automation), bot and AI agent detection, and a risk score with the signals behind it.
  • Multi-accounting, account sharing, account takeover and impossible travel are detected out of the box.
  • Traffic quality is scored for every source, channel, referrer and UTM campaign.

You decide what to allow, challenge or block by your own rules, through the API and webhooks.

Pricing: free plan with 5,000 identifications, paid plans from $99/month.

Feedback we'd love: how clear is the onboarding, and which signals would you want to see first? Try it at shieldlabs.ai.

SH @shieldlabs Maker on sideprojects.net View profile

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