Questions we get a lot.

Fake recruiters, fake job offers, fake employer companies, payment-up-front schemes, wire-then-buy schemes, shell-company patterns, identity-imitation of real firms, and pyramid/MLM offers framed as employment.

Our internal pattern library is updated continuously as new scam playbooks surface. There is always some lag between a new scam appearing in the wild and us catching it explicitly — days to weeks, not months.

Often, yes. Many scams reuse shell entities, recycled domains, or near-duplicate company names. Even a name-only lookup pulls registry data, domain history, and sanctions screens.

A green verdict means the signals we can see are consistent with legitimacy. Pair it with the red-flag list. If your gut still flags something, trust your gut and ask for documents the company should be able to produce.

Run the company, run the recruiter, check that the role exists on the company's official careers page, and verify the recruiter's email domain matches the company's domain.

Money for equipment or training. Bank logins. Your government ID before you have a signed offer letter from a verifiable company. Onboarding documents over Telegram or WhatsApp.

Not always, but it's a yellow flag. Pair high comp with a vague role description, no interview process, or urgent start dates and the cluster turns red.

Both. The investigation covers the company's legitimacy and the offer's pattern match against known scams.

Paste their profile URL or name plus the employer. We check profile age, network density, employer registration, role consistency, and whether the company hires this kind of role.

Low signup friction, high signal of legitimacy by default, and access to a huge supply of motivated job seekers. Verification by the platform is shallow.

Run the recruiter and the company first. Reply only after the basic checks pass. If they push you off-platform within the first message, that's a red flag.

Very small companies with near-zero public footprint, companies in opaque jurisdictions, and brand-new entities younger than the data sources we use. We surface 'limited data' rather than guess.

No. We give you the best read of public signals at the moment we run. Verdicts are decision support, not legal advice or guaranteed truth.

Our internal benchmark shows 99.2% accuracy on a labeled set. Real traffic is messier. False positives mostly affect tiny legitimate startups with thin footprints; false negatives mostly affect brand-new scams not yet in our pattern library.

No. We never contact the company or the person you investigate.

No. Not now, not ever.

Your investigations are saved to your account so you can revisit them. You can delete any investigation or your entire account whenever you want.

No. The only person who sees what you investigated is you.