Illustrative preview
A message that looks real. A website that feels familiar. Get clarity before you click, pay or share.
Start with a few questions about your online life.
70+ AI models · Independent sources
Everything you do online gets cross-checked by multiple frontier AI models, then resolved into one verdict you can act on.
2 selected · Pick the parts of online life you want ShouldEye watching.
01 · Protection map
ShouldEye maps everyday activities — shopping, messages, crypto, identity — so protection matches real life.
You asked
Is this refund email real?
GPTCould be legit
ClaudePhishing signs
GeminiSender mismatch
GrokVerify the domain02 · Frontier engines
One engine can miss what another catches. ShouldEye has 70+ AI models integrated and sends the same question to several of them, then cross-checks the answers.
Where models agree
Where models differ
Whether the sender address is spoofed or merely reused
03 · Clear verdict
Every warning is tied to a reason you can inspect — the source, the signal, and what is still uncertain — so you are never left with a score and no explanation.
Signals ShouldEye can alert you about.
04 · Ongoing watch
Save important checks to a watchlist and get alerts when the evidence moves — so a quiet problem does not become your emergency.
Phishing, fake shops, stolen accounts, breaches and dark-web listings. Every check runs across 70+ integrated AI models plus exposure scans, so you see the catch — not just the scare.
Billing Notice
Unpaid balance detected
Verify your payment details to avoid suspension.
secure-billing-update.example/verify
An urgent billing notice that wants your payment details right now.
Checked by multiple models — Models flag the fake urgency and the link that does not match the real sender.
Coral Bay Resort
now
Payment failed. Pay $320 today to keep your reservation:
coralbay-booking.example/pay
A message that knows your booking, your name and exactly when to reach you.
Checked by multiple models — ShouldEye explains how public details get turned into messages aimed at you.
fleur and co gift sets
Fleur & Co — Official Sale
www.fleur-c0.example/sale
A paid result one character off the real shop, sitting above the real one.
Checked by multiple models — Models compare the domain against the official site and flag the mismatch.
@t.morgan_1
Recently changed name
A real profile taken over, or cloned, to reach the people who trust it.
Checked by multiple models — ShouldEye highlights account takeover cues and conflicting identity clues.
Exposure found
A password you reused surfaces in a leak long before anyone tells you.
Breach monitoring — ShouldEye can alert you when credentials tied to your footprint appear in known breaches.
Identity bundle
Listed for saleLeaked details get packaged and resold as a ready-made identity kit.
Dark-web watch — ShouldEye looks for packaged identity data and credential dumps tied to you.
Billing summary
Exposed card details show up as one line that does not belong.
Breach monitoring — ShouldEye watches for payment details circulating before a bank alert arrives.
Order summary
A clean-looking cart that quietly signs you up for a monthly plan.
Checked by multiple models — Models read the fine print and surface the terms the page plays down.
Aurora Yield
+480% in 30 days
Guaranteed. Deposit closes tonight.
Deposit nowAn investment promise no real market can make, pushed by a friendly stranger.
Checked by multiple models — Models flag impossible-return claims and the pressure tactics around them.
Full record available
People-search sites publish your address and relatives for anyone to buy.
Broker footprint scan — ShouldEye maps the broker and people-search surfaces that amplify this risk.
Illustrative scenarios
More confidence in what you click, who you trust and where you spend.
Check suspicious links and messages with EyeQ.
Messages
now
Your account will be deactivated soon.
Confirm here: acccss-secure.example
Potential issues
Look into businesses, reviews and the evidence behind their trust scores.
Example report
Sample business
Website · Business profile · Public data
Trust score
8.2/ 10B
Save what matters and get alerts when monitored signals change.
Review My Watchlist
View all
Example store
example-store.example
Trust score
Different ages. Different routines. The same need to know who to trust.
$20B+
Reported losses
1M+
Crime complaints
Reported to FBI IC3 in 2025.
Source: FBI, 2025 Internet Crime Report · IC3.gov
You don't need to understand every scam to ask the right questions.
From a new website to an unexpected message.
Make checking before trusting a shared habit.
Trust matters to your customers, too.
For BusinessHow the check works, where the evidence comes from, and what a trust score does not promise.
A few questions help tailor your assessment and next steps. You start by sharing a few details about your online life, then explore a risk profile with clear ratings and explanations. From there you choose what to keep monitoring.
Websites, messages, offers, sellers, and other online claims. Paste a link or describe what you are about to trust — ShouldEye investigates with evidence and specialist AI analysis across 70+ integrated models, and you can compare up to 8 of them side by side on the same question. That covers the everyday moments: before you click, before you pay, and after you check.
The EyeQ Trust Score summarizes available trust and risk signals for a subject — including reputation, ownership and transparency, policies, legal and regulatory information, consumer experiences, complaints, and security indicators. EyeQ considers evidence across independent sources rather than a single review or rating. It is decision-support intelligence, not a guarantee of safety.
Every warning is tied to a reason you can inspect — the source, the signal, and what is still uncertain — so you are never left with a score and no explanation. Independent and observed sources are labelled so you can tell them apart, and when sources disagree that tension is shown rather than hidden.
Anything you rely on online — and the risks that build up quietly around it.
Websites, businesses and brands — save any check to your watchlist
Trust score shifts — when the evidence starts moving for or against a subject
New risk signals and scam patterns — including the social-engineering tactics criminals reuse
Complaint spikes — when public reports and negative evidence stack up
Data breaches — known breach corpora checked for credentials tied to services you use
Personal information exposure — where your name, contact details and identifiers surface online
ShouldEye can alert you as these change, so a quiet problem does not become your emergency.
No. ShouldEye provides independent, AI-assisted information from public, third-party, and user-reported sources, and we do not guarantee scores or outcomes. Information may be inaccurate or outdated, and it is not legal, financial, recovery, or professional advice. Use it as decision support alongside your own judgment.