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Transaction Risk API

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Software Status:Active

About Transaction Risk API

Transaction Risk API is a risk assessment software from Ekata that improves transaction routing by providing PII insights to improve security. It combines Phone Intelligence API, fake account prevention, transaction fraud detection, manual fraud review, and promotion abuse monitoring so businesses can reduce fraud rates and improve customer trust. The API allows companies to verify the risk of customers using phone metadata and provides tools for manual fraud reviews, supporting effective fraud prevention strategies. This solution is essential for e-commerce platforms and financial institutions that need to safeguard transactions against fraudulent activities. Key capabilities: Phone Intelligence API Fake account prevention Transaction fraud detection Manual fraud review Promotion abuse monitoring Best for: businesses that need to secure and authenticate transactions.

Transaction Risk API Details

Vendor
Ekata
Year Launched
2012
Location
1301 Fifth Ave. Suite 1600 Seattle, WA 98101
Deployment
cloud
Training Options
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, Japanese, Chinese, Korean, Arabic, Turkish, Polish, Czech
Users
Enterprises, merchants, payment processors and financial services firms (B2B customers).
Industries Served
Ecommerce, Financial Services, Payments
Tags
Financial Fraud Detection, Transaction Risk, API, Mastercard

Transaction Risk API's In-App Market Place

Does Transaction Risk API have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD ($), CAD ($), CHF (CHF), CNY (¥), JPY (¥)

Pros & Cons

  • Enhances fraud detection accuracy with global identity and network data integration.
  • Increases transaction approval rates by automatically approving low-risk customers.
  • Minimizes chargebacks and financial losses by detecting fraud before transaction completion.
  • Scales efficiently for enterprise-level transaction volumes without latency issues.
  • Offers detailed and explainable risk metrics for better fraud decision-making.
  • Implementation may require technical expertise for full API integration.
  • Dependence on external data sources may limit accuracy in regions with sparse data.
  • Some configuration steps require coordination with Mastercard support teams.
  • No self-service setup option for quick individual or SMB onboarding.
  • Limited transparency on data update frequency for network signals.
  • May flag legitimate customers as risky if data mismatches occu

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