Global identity verification company Whitepages Pro has released its Transaction Risk API to help fight payment fraud and improve authorisations early in the transaction flow.
This API leverages predictive identity data and internal company data to offer real-time risk reductions, the company claims. Within 100 milliseconds, the core identity data elements of email, IP, phone, address, and name are scored to return a concise response, easily consumed by risk models at high volumes.
With this speed, users can allow for global identity verification at the point of authorisation, helping companies lower false declines and better detect fraud.
The solution was designed to support high-volume businesses like payment service providers, credit card companies and e-commerce companies. Clients will be able now be able to prevent risk in real-time, with clearer pictures of those behind transactions, Whitepages claims.
Key features include, a real-time, predictive transactional risk score, high predictability for identities, easy API integration, scalability and global coverage.
This new solution is powered by ‘elite enterprise-grade infrastructure, and is fed global identity data from the Identity Graph.
Whitepages Pro senior director of product management Ajay Andrews said, “To prevent fraud and identify good customers early in the transaction flow, businesses have historically relied on their internal data and signals.
“But as they move more commerce and services online, these businesses face both an order of magnitude increase in transactions and a compressed time window to make decisions. Transaction Risk API addresses these needs by leveraging technical innovation and machine learning to deliver a suite of our most predictive attributes.”
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