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Transaction Risk API, winner of 2019 API World’s Best in Payment APIs



We’re excited to announce that Ekata has won a 2019 API World Award for: Best in Payment APIs. The 2019 API Awards celebrate technical innovation, adoption, and reception in the API & Microservices industries, as well as use by a global developer community. Out of hundreds of nominations, the Advisory Board selects winners based on three criteria: (1) attracting notable attention and awareness in the API industry; (2) general regard and use by the developer & engineering community; and (3) being a leader in its sector for innovation.

Ekata is a shining example of the API technologies now empowering developers and engineers to build upon the backbone of the multi-trillion-dollar market for API-driven products and services. Today’s cloud-based software and hardware increasingly runs on an open ecosystem of API-centric architecture, and Ekata’s win here at the 2019 API Awards is evidence of their leading role in the growth of the API Economy,” – Jonathan Pasky, Executive Producer & Co-Founder of DevNetwork, producer of API Word & the 2019 API Awards.

So what makes our API award-winning? 

Transaction Risk API helps businesses around the globe reach maximum performance by improving the efficiency of authorizations and reducing fraud rates. In under 100 ms, it scores the overall risk of the identity behind a transaction and delivers a concise response for fast model integration. Specifically built for easy integration into sophisticated machine learning models, the Transaction Risk API helps eCommerce merchants, marketplaces, payment processors, and others increase approvals and manage payment fraud at scale.

Transaction API has: 

  • Low latency response times – Models make predictions that are acted on (e.g. approve payment for authorization, send to 3DS or other challenge point, or reject payment) in real-time flows that may occur prior to a payment authorization. Transaction Risk API delivers a response within 100 ms to meet the condensed time requirements of models running at the front of the transaction process.
  • Highly-predictive and feature-ready data elements – Data scientists and machine learning engineers spend a lot of time on feature engineering data that might not even improve the model’s performance. Transaction Risk API provides our top 15 most predictive identity verification features that are generally Boolean or numerical and ready for modeling.
  • Global data – Online businesses accept payments from customers all around the world, and data science teams need to build models that perform well regardless of geography. Transaction Risk API delivers data on name, email, phone, address, and IP in 238 countries.

Request a demo for Transaction Risk API, and see for yourself why it won Best in Payment APIs.

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