The API that catches social engineering attacks your fraud tools miss. Trusted by marketplaces, dating apps, and job boards.
Three detection engines working together to catch what single-layer tools miss.
22 risk signals
Catches off-platform payment requests, urgency tactics, isolation attempts, and social engineering patterns that keyword filters miss.
pHash matching
Same fake check used in 3 scams? Same ID template across 10 accounts? We know. pHash matching links images across platforms and time.
Cross-platform tracking
Phone numbers, crypto wallets, payment handles, domains — all tracked with reputation scores. Reported on one platform, flagged everywhere.
Simple REST API. Sub-2ms response times. Three verdicts: SAFE, SUSPICIOUS, SCAM. You decide what action to take.
{
"content": "I'm out of town but my assistant
can handle pickup. Pay via Zelle first.",
"context": "marketplace"
}{
"verdict": "SCAM",
"score": 0.89,
"signals": ["payment_before_delivery",
"out_of_town_excuse", "zelle_request"],
"entities": { "payment_methods": ["zelle"] }
}Industry-specific detection models tuned for your use case.
Block payment diversion before it happens.
Catch romance scams early.
Stop fake job postings.
Protect customers from impersonation.
Same phone number across 47 accounts? Same image in 12 scam attempts? We link them to a single operator and shut down the whole campaign with one action.
Every submission makes the network smarter. Scam reported on one platform is instantly flagged across all platforms. You're not buying a classifier — you're joining an intelligence network.
Enterprises register their legitimate communications with suss. Consumers verify: "Is this really from Poshmark?" We're building the source of truth for digital trust.
Built for scale, security, and reliability.
Get started with a free pilot. See what suss. catches that your current tools miss.