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Scam AI
ScamVerify is an AI powered threat intelligence platform that helps consumers verify phone numbers, websites, text messages, and emails for scam risk.
Every lookup cross-references multiple data sources and delivers an AI synthesized risk assessment with a 0-100 risk score and plain English verdict.
Data Sources - FTC Do Not Call Registry (2.4M+ complaint records) - FCC Consumer Complaints (443K+ records) - Telecom carrier forensics (line type, caller name, carrier risk) - Malware threat feeds (URLhaus, ThreatFox covering 50,000+ malicious domains) - Robocall detection systems - Community reports from verified users
Free tier includes complimentary lookups with full risk scores and verdicts. Paid plans ($4.99 to $24.99/mo) unlock additional lookups, detailed FTC/FCC complaint history, carrier forensics, AI narrative analysis, and downloadable PDF reports.
Founded in 2026 by a technology executive with 25 years of enterprise platform experience and a background in fraud detection systems at scale.
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ScamVerify's answer:
Everyday consumers who receive suspicious phone calls, text messages, or emails and want a fast, honest answer about whether it is a scam. Secondary audience includes small business owners verifying unknown contacts and adult children helping protect elderly parents from phone fraud.
ScamVerify's answer:
ScamVerify is the only platform that combines FTC complaint data, FCC consumer complaints, telecom carrier forensics, malware threat feeds, and community reports into a single AI-synthesized risk assessment. Instead of just checking a phone number against one database, it cross-references multiple federal and industry sources and delivers a plain English verdict that anyone can understand.
ScamVerify's answer:
Most competitors focus on a single channel like phone calls or websites. ScamVerify covers phone numbers, websites, text messages, and emails in one platform. The free lookup gives you a real risk score and verdict, not just a teaser to upsell you. The AI analysis explains why something is risky in plain language, not just a number or color code.
ScamVerify's answer:
Next.js, TypeScript, React, Tailwind CSS, Supabase PostgreSQL, Drizzle ORM, OpenAI GPT-4o-mini, Anthropic Claude, Stripe, Vercel, Trigger.dev
ScamVerify's answer:
ScamVerify was born from personal experience. The founder was first scammed as a college student when he tried to buy a laptop on Craigslist and the seller disappeared with his payment. Years later, his mother received a call from someone impersonating her cousin using AI voice cloning. That was the tipping point. With 25 years of experience building enterprise platforms and a background in fraud detection at Tagged, Myspace, ADP, and Hyland Software, he built ScamVerify to give consumers real tools to fight back, not black boxes with unexplained trust scores, but clear verdicts backed by government data and hard evidence.
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