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Phone and Email Check

Two fields every applicant types, and two of the strongest fraud signals you have. AiPrise returns 100+ data points on an email address and 40+ on a phone number in real time: how old it is, whether it is reachable, who it belongs to, and whether it has been seen before. Before any document is uploaded.

Two overlapping panels showing checks for an email and a phone number. The email check displays deliverability as Inbox, first seen 9 years ago, 4 linked profiles with matching names, no breach history, and rates as low risk. The phone check shows a mobile line with a major US carrier, location in Colorado with a warning, active status in service for 6 years, owner name matches applicant, and recommends review with an alert icon.

Trusted by 200+ compliance teams

NIVODA
Payments
BlindPay
PingPong
Grey
Keyrails
Sokin
Conduit
Nico
Airwallex
d-local
Bridge
Currencyfair
Capi
Velafi
Supply Pay
[Problem]

A real ID on a throwaway email is still a fraud

AiPrise turns the email and phone into evidence: age, reachability, ownership, and history, returned in the same result as the rest of the verification.

Real ID, fake identity

Real ID, fake identity

Synthetic identities pass document checks. What gives them away is an email created last week and a VoIP number with no history.

Access isn't ownership

Access isn't ownership

An OTP proves someone holds the phone right now. It says nothing about whether the number belongs to the person on the ID.

Repeat fraud leaves a trace

Repeat fraud leaves a trace

Repeat fraudsters reuse contact details across applications, and nothing in a single-session ID check will catch that.

What comes back

For a business, the same checks run on the company contact details and on the domain: whether the email belongs to the business's own domain, whether that domain is established, and whether the contact number is a real line at the business.

Validity and reach

Validity and reach

Email deliverability and domain health. Phone line type (mobile, landline, VoIP), carrier, region, and whether the number is active.

Age and history

Age and history

How long the email has existed and been in use. How long the number has been in service and whether it was recently ported or reassigned.

Ownership

Ownership

The name associated with the email and the phone, matched against the applicant, plus linked social and online profiles that corroborate a real person.

Risk indicators

Risk indicators

Disposable and temporary email domains, virtual numbers, known fraud associations, and whether the same contact details have appeared on other applications.

How it works

Results return in under a second, so the check runs invisibly inside the flow.

01

Collect

The applicant enters email and phone in the onboarding flow, or you pass the values you already hold through the API. Nothing extra is asked of them.

02

Enrich

AiPrise queries carrier data, email intelligence networks, and its own cross-customer signals, and matches the returned owner details against the applicant.

03

Score

Each data point becomes a signal in Risk Scoring. Your rules decide whether a two-week-old email on a VoIP number auto-declines, steps up to a document, or goes to review.

Signals your rules can use

Rule-ready

Rule-ready

Trigger proof of source of funds only above the amount, corridor, or Every data point is available as a condition in Risk Scoring and Workflows, so "email younger than 30 days" or "VoIP number" is a rule, not a manual check. tier your policy sets. Low-risk customers are never asked.

Step-up, not block

Step-up, not block

Use weak contact signals to add a document or selfie step for a minority of applicants instead of adding friction for everyone.

Repeat-actor detection

Repeat-actor detection

Contact details are matched across your applications and, through Sherlock, across the AiPrise network, so a phone reused on a rejected account is flagged.

Audit trail

Audit trail

The full set of returned data points is stored on the profile with the decision, so a reviewer or auditor can see why the risk tier was assigned.

Fraud signalsfor every market

Payments

Screen merchant sign-ups for disposable emails and virtual numbers before the first payout.

Neobanks

Approve applicants with established contact history instantly, step up the rest.

Financial institutions

Add contact intelligence to CDD without another vendor integration.

Stablecoins and crypto

Catch synthetic identities and account farms at sign-up.

Lending

Flag application fraud where the phone and email do not belong to the applicant.

Marketplaces

Spot sellers re-registering with the same phone after a ban.

[Proof]

What teams see after switching

80
%
of analyst time freed from manual checks

“AiPrise has become a core part of Conduit’s compliance infrastructure powering faster growth, cleaner data, and a smoother experience for customers worldwide.”

Conduit
Director of compliance

Alreadyin the flow

Onboarding SDK

Add the module to any template. Show it to everyone, or only when a declared amount crosses your threshold.

API

Runs automatically on the contact info step. Turn it on in the template and the signals appear on every profile.

Risk Scoring

Signals feed the score with no extra wiring. Write rules on any of them from the dashboard.

Already in the flow

Questions

What data points are returned?
Does this replace OTP verification?
How is "seen before" determined?
Does it work outside the US?
Does it add friction for the applicant?
Does it work for businesses?

Related features

See whatan email and aphone number can tell you

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