Before the account
becomes a risk.
Check whether the name, phone and professional identity agree before approving a signup.
A phone number. A name. A professional profile.
Find out if they belong together — with an identity score that
shows its work.
Social profiles monitored
Countries & territories with mobile coverage
Mobile networks queried directly
Dark web data sources scanned
THE SIGNALS
A name, a number, a profile.
Check how well the pieces agree.
Compare the name you were given with the identity associated with the phone number, using phone verification and corroborating identity records.
The name and number agree.
The number points to someone else.
There is not enough evidence to decide.
Useful for spotting a borrowed or mismatched identity before approving a signup.
BUILT FOR ENGINEERS
Send the details you already have. Get a clear view of what matches, how confident each signal is, and where to look closer.
{
"inputs": [
{
"first_name": "Jordan",
"last_name": "Reyes",
"phone": "+14155550148"
}
]
}
Signal results
{
"score": 96,
"band": "clear",
"signals": {
"phone_name_match": {
"trusted": true,
"confidence": 94
},
"phone_connectivity": {
"trusted": true,
"confidence": 99
},
"phone_type": {
"trusted": true,
"confidence": 98
},
"phone_ported": {
"trusted": true,
"confidence": 87
},
"phone_activity": {
"trusted": true,
"confidence": 93
}
}
}
USE CASES
When a plausible story can cost you,
give your team a clearer
picture.
Check whether the name, phone and professional identity agree before approving a signup.
Tie a claimed professional profile to a contactable phone. Give hiring teams evidence behind the introduction.
A company can be real while a contact’s story is not. Corroborate the person behind a business relationship.
Check the number and identity a caller provides before a helpdesk agent grants access or resets credentials.
GLOBAL INTELLIGENCE
Connect evidence across names, numbers and professional profiles, wherever an identity starts. One endpoint brings the signals together.
PUT YOUR DATA TO THE TEST
Run last month’s fraud queue.
See what the signals would have
told you.