Something feels off. We'll investigate. Every other tool checks databases of known scams. Scamanot investigates the opportunity in front of you — whether it's been reported before or not.
You probably thought you'd recognize one.
Most people do. Right up until the moment they don't.
The job offer had a real website. A LinkedIn profile. A polished onboarding email. The text came from what looked like your bank's number. The deal was almost too good — but not quite enough to walk away from. Not right away.
That's not bad judgment. That's a sophisticated operation doing exactly what it was built to do.
Scamanot runs a full AI scam investigation in under 60 seconds — before the hesitation becomes a decision you can't undo.
Run a Free InvestigationThe Problem
In 2024, Americans lost over $12.5 billion to fraud. Not because they were careless. Because the operations targeting them were professional. Fake job offers come with real websites and LinkedIn profiles. Phishing emails pass every visual test. The bad actors have gotten very, very good.
That's not weakness — that's the point. Modern scams are engineered to confuse even tech-savvy people. You need a second opinion you can trust.
Urgent messages warning you to verify your account, claim a package, or confirm a charge — designed to make you act before you think.
Remote work postings with great pay, flexible hours, and a professional onboarding process — that vanish the moment they ask for your info.
Business proposals, vendor inquiries, and investment leads that seem promising — and are crafted specifically to exploit people running their own operations.
Fake invoices, lookalike supplier emails, and vendor impersonation scams targeting small business owners who don't have a security team watching their back.
You can't google every lead and cross-reference every domain. Scamanot investigates so you can make informed decisions fast — and move on.
Exclusive Feature
Most tools stop at "this looks suspicious." Scamanot goes further.
Our Sophistication Scorer rates the professional level of a scam from 1 to 10 —
so you know whether you're dealing with a low-effort copy-paste or a coordinated crime ring.
How It Works
No account required. No technical knowledge needed. No judgment. Just paste — and know.
Drop in a suspicious message, link, job offer, email, pitch — anything that made you hesitate.
Our AI examines the content for red flags, known patterns, deceptive language, and structural tells.
Get a clear verdict — Likely Safe, Suspicious, or High Risk — with a plain-English explanation of why.
Who It's For
You don't need to be naive. You need to be busy, hopeful, or just a little tired. Scammers know exactly when to find you.
When you run your own operation, every lead matters — and every bad lead costs you time, money, or both. You need a fast filter you can trust.
Why It Matters
Lost to fraud by Americans in 2024, per the FTC
Fraud reports filed with the FTC in 2024
Adults who reported losing money to fraud in the last year
Average time for Scamanot to return a clear, actionable verdict
The average fraud victim loses $1,500. Guardian protection costs $9 a month.
The Investigator
Messages. Emails. Links. Job offers. Investment pitches. Whatever made you pause — drop it here.
Supports messages, URLs, emails, job offers, and more.
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🔒 We don't store or share your submissions. Investigation results are for informational purposes and should not replace professional legal or financial advice.
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Awareness & Scoring
🔒 We don't store your searches. Ever.
Scamanot provides investigation results to assist your own decision-making. Results do not guarantee an entity is safe or fraudulent. Never make financial decisions based solely on this tool's output.
Your Privacy
Unlike every other scam tool, we don't store what you search.
What you investigate is your business.
When you paste a message, URL, or offer into Scamanot, it goes straight to our AI — it's never written to a database, never logged, never sold. You don't have to trust our word alone: our architecture makes storing your queries technically unnecessary, so we simply don't.
🔒 Read our Privacy Policy →