Fraud signals
Spot fraud before it gets in.
Combine 3,000+ data sources and risk signals, from devices and IP addresses to e-mail and phone risk, to flag fake identities and multiple accounts.
How it works
- 1
Collect
Signals are gathered during the verification session.
- 2
Analyse
Device, network, e-mail and phone are checked for risk.
- 3
Act
A risk result your workflow uses to accept, refuse or review.
Illustration
Signals that expose fraud
3,000+ signals
3,000+ data sources and risk signals.
Device analysis
Emulators and suspicious devices flagged.
IP analysis
VPNs and proxies detected.
E-mail and phone risk
A risk score for each e-mail address and phone number.
Multiple accounts
The same person behind several accounts, detected.
Banned faces
People you have blocked, recognised when they come back.
Integrate in a few calls
Add risk signals to any verification and read them in the result.
Open the developer hubRequestIllustration
curl -X POST $NODEID_API/v1/risk-signals \
-H "Authorization: Bearer $NODEID_KEY" \
-d '{ "session_id": "ses_1a9…", "email": "person.a@example.com" }'Response
{
"device": { "emulator": false },
"ip": { "vpn": false, "proxy": false },
"email_risk": "low",
"linked_accounts": "none"
}Know every business and every person you work with
Request a demo, or get your API keys.