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Enterprise Layer Intelligence
Categories/Digital Identity/Pipl
Pipl

Pipl

Founded by Matthew Hertz in 2005

Verify online identities and detect transaction fraud using deep global identity data and signals

Pricing model

Paid

Rating

★ People love it

Time to value

Immediate

You can use Pipl to verify digital identities and stop online fraud across transactions and account creation. The system connects fragmented customer data, including emails and phone numbers, against a massive global identity graph to identify synthetic profiles, stolen cards, and takeover attempts. Risk teams can investigate suspicious entities, uncover organized fraud rings, and review transaction risk scores with clear reason codes. This allows payment and trust teams to reduce false declines, clear manual review queues faster, and make accurate approval decisions without turning away legitimate customers.

What Pipl does

Score incoming payment transactions in real timeSearch individuals across a global identity graphVerify customer phone numbers and email addressesExpose connected fraud rings and synthetic clustersReview reason codes for flagged transactionsValidate user identity during account registrationMonitor login behavior for signs of credential stuffingGlobal identity graph mapping over 5 billion identities across 150 countriesTransaction risk scoring with detailed reason codes for explainable decisionsCustomizable Elephant risk model calibrated to specific payment attack vectorsSynthetic identity and automated bot detection during account openingModular email and phone signal validation via Pipl ElementsVisual identity resolution interface for fraud investigation teamsAccount protection tools to detect credential stuffing and account takeover

Pricing breakdown

Pricing model: Paid

Frequently asked

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Pipl, Digital Identity, Identity Verification, Fraud Prevention, Transaction Risk, Payment Fraud Detection, Identity Graph, Synthetic Identity Detection, Fraud Investigation, Account Takeover Prevention, Trust Score, Risk Decisioning, Card-not-present Fraud, Email Risk Signals, Phone Intelligence