In the age of AI, anyone can fake anything. suss. is the infrastructure that tells you what's real — domain trust scores, scam intelligence, entity reputation, and ambient protection, all through one API.
Social engineering happens in DMs, emails, marketplace listings, and checkout pages — long before money moves. By the time a traditional fraud tool flags it, your user already sent the wire. suss. intervenes at the moment of deception, not the moment of payment.
of scam losses start with a message, not a transaction
median loss per victim — most below fraud team review thresholds
of victims reached through SMS — outside your platform entirely
Not just "is this a scam." We tell you what it is, who's behind it, whether the domain is trustworthy, and exactly what to do about it.
0-100 trust score for any domain. Aggregates multiple proprietary and public intelligence sources into a single, actionable number.
450+ signals detect social engineering across 30+ scam categories — romance, job, marketplace, crypto, BEC, and more. Purpose-built ML models, not keyword matching.
Visual fingerprinting, AI-generated image detection, OCR text extraction, document forgery analysis, and provenance verification.
Phone numbers, emails, crypto wallets, payment handles, domains — all linked with reputation scores. Flagged on one platform, known everywhere.
LLM-powered contextual analysis for ambiguous cases. Fetches pages, reads content, and explains what's happening in plain language. Not just a score — a verdict.
Scan any text, image, or URL. Check the trust score of any domain. Look up any entity. All REST, all JSON, all fast.
Scan text, images, and URLs. Returns risk score, signals, trust data, guidance, and entity intelligence in one call.
Domain trust score (0-100), trust level, signals, evidence from 5 sources, and trust history over time.
Look up any phone, email, handle, or wallet. Returns report count, risk level, linked entities, and platform history.
{
"text": "Pay via Zelle before I ship it",
"url": "https://sketchy-store.com"
}{
"score": 0.89,
"bucket": "HIGH",
"signals": ["payment_before_delivery",
"zelle_request"],
"trust": {
"score": 12,
"level": "suspicious",
"signals": ["Domain registered 3 days ago",
"No Trustpilot profile"]
},
"contextual_guidance": {
"what": "This seller wants payment before...",
"so_what": "This domain was created 3 days ago...",
"now_what": ["Do not send payment", ...]
}
}API for platforms. Managed browser protection for organizations. Both backed by the same intelligence network.
For marketplaces, dating apps, job boards, fintechs
Embed trust and scam intelligence directly into your product. Score messages in-line, check domains at checkout, flag entities before they transact.
For universities and school districts
Deploy via Chrome Enterprise managed policy. Students are auto-provisioned through SSO — zero opt-in friction. Admin dashboard shows threats across your campus in real time.
For companies protecting employees
Ambient browser protection for your entire workforce. Scans every page, email, and chat automatically. Catches BEC, vendor impersonation, and invoice fraud before employees click.
Protect buyers and sellers from payment diversion, fake listings, and overpayment schemes.
Detect romance scams through multi-turn conversation analysis and escalation tracking.
Catch social engineering before the wire transfer. Protect customers from impersonation and phishing.
Stop fake job postings, equipment fee scams, and AI-generated candidate fraud.
You're not buying a classifier. You're joining a trust network with compounding intelligence.
A phone number flagged in a marketplace scam is instantly risky in a job listing. An image used in a romance scam is recognized in an ad. Intelligence flows across every client.
Daily retraining from 200K+ samples, nightly gap analysis from real victim reports, automated drift monitoring. The model evolves faster than the scams.
We don't wait for users to paste a message. The extension scans every page, email, marketplace listing, and chat automatically. Protection is invisible until it matters.
Start with a free pilot. See what suss. catches that your current tools miss — and what it verifies that they can't.