Arvion opens its first 500 contributor spots to universities worldwide
Coming soon
Protect someone from online fraud in 5 minutes.
Arvion is a youth-powered network that turns real scam reports into verified intelligence — one quick case review at a time. No experience needed, no application, no waiting.
Where the network stands today. Updated as contributors join.
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Verified contributors
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Cases classified
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People reached
From the network
Updates on how Arvion is growing, what contributors are finding, and where the network is headed.
In 2025, Americans reported losing nearly $16 billion to fraud — a record, and up about a quarter from the year before, across roughly 3 million individual reports. Most of it is never formally analyzed.
Source: U.S. Federal Trade Commission, Consumer Sentinel Network, 2025.
How a case gets verified
1
Read a real report
You're shown an anonymized message, listing, or call script someone actually received — never anything that identifies a victim.
2
Tag the pattern
You classify its category, channel, and tactic. Two other contributors independently review the same case, blind to your answer.
3
Feed the network
Once three reviewers agree, it becomes verified data — feeding public alerts, partner research, and the next contributor's training.
Get involved
Volunteer as a contributor
Review anonymized cases in your own time. Five verified reviews makes you an Arvion Contributor.
Start volunteering →Check a suspicious message
Paste text you've received and get an instant, educational risk read using our pattern checker.
Try ScamCheck →Partner your organization
Universities, clubs, and companies can recruit contributors through their own tracked link.
Learn about partnering →Not sure if it's a scam? Check it.
Paste a suspicious text, email, or DM below. We'll scan it for common manipulation patterns and explain what to look for — this is educational, not a guarantee, and always verify through an official channel before acting.
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This is an educational pattern check, not a security guarantee. If a message asks for payment, gift cards, passwords, or codes, verify directly with the organization using a number or site you look up yourself — never one from the message.
Contributor stories
Once the network is live, real contributors will share what they've found here. For now, here's what to expect.
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"I want to know what a review looks like before I sign up for real."
You, maybe
Future contributor
Try the ScamCheck tool above — it uses the same pattern-tagging logic contributors will use to review real cases.
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"Campus chapters can plug students directly into review work."
For student clubs
Partner idea
A partner link tracks exactly how many verified contributors your club or class produced — no manual roster needed.
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"Every case needs three independent reviewers before it counts."
How verification works
Consensus model
Majority agreement becomes the provisional classification; disagreements are escalated to experienced reviewers rather than guessed at.
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"Nothing here can identify a real victim, ever."
Safeguarding
Data policy
Cases are stripped of names, numbers, and identifying details before contributors ever see them.
The first State of Digital Fraud report
An annual breakdown of what the network is seeing — scam categories, channels, tactics, and where they're concentrated. Leave your email and we'll send the first edition the day it publishes.