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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.
Based on our record, Clearbit seems to be more popular. It has been mentiond 18 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Some display names need a lookup table, not fuzzy strings. Pairs like Investing.com / Fusion Media Limited or Lyrie.ai / OTT Cybersecurity Inc. Share almost no tokens, so WRatio stays low and that's correct behavior. For irreconcilable aliases like that you still want GLEIF, Clearbit, or simply a maintained slug โ legal_name map. Fuzzy matching handles stylistic drift on the same name; it canโt handle unrelated... - Source: dev.to / about 2 months ago
Personal email domains destroy this. Clearbit's Enrichment API returns a null company when it hits gmail.com. Apollo routes personal domains straight to a consumer bucket and skips B2B fields entirely. Even PDL's /person/enrich endpoint โ the most permissive of the major providers โ gives you around 32% hit rate on Gmail addresses versus 74% on corporate domains. I measured this across 6,200 signups for a... - Source: dev.to / about 2 months ago
A few things worth flagging: PDL beats Clearbit's historical rates for US and Western European companies, but drops to ~52% match rate for Japan and South Korea specifically. Apollo underperforms on raw company matching but returns significantly more contacts per domain in Prospector-style queries than Clearbit's Prospector ever did โ the tradeoff is more stale titles in the result set. Hunter.io is fast and cheap... - Source: dev.to / about 2 months ago
Match rate of 38% in my test, but the data quality on what it does match is solid: title, seniority, industry, company size all returned cleanly. If you're already in HubSpot and enriching form fills in-place, Clearbit/Breeze is probably your lowest-friction option even at lower match rates. If you're not in HubSpot, there's no reason to choose it over PDL or Prospeo. - Source: dev.to / about 2 months ago
One thing comparison guides consistently get wrong: Clay is not an enrichment API. It's a waterfall orchestration tool that calls People Data Labs, Apollo, Clearbit, and others in sequence for you. It's useful, but it adds 2โ8 seconds of latency per row in my runs and costs more per match than going direct. For a CRM webhook flow where you need sub-second enrichment calls, Clay is the wrong layer to hit first. - Source: dev.to / 2 months ago
Lusha - Search less. Sell more.
ScamAdviser - Check if a website is a scam website or a legit website. ScamAdviser helps identify if a webshop is fraudulent or infected with malware, or conducts phishing, fraud, scam and spam activities. Use our free trust and site review checker.
DiscoverOrg - DiscoverOrg is an IT sales intelligence platform providing technology marketers access to data, IT org charts, and real time projects.
Truecaller - Find a person by a name or phone number worldwide for free using Truecaller.
Apollo.io - Apolloโs predictive prospecting, sales engagement, and actionable analytics help the teams to reach its full revenue potential.
Nomorobo - Nomorobo blocks annoying robocalls, telemarketers, and phone scams.