EK Data providers · Ekata (Mastercard)

Ekata

Identity data enrichment for phone, email, address, and IP that runs inside your Zenoo flows.

At a glance

Overview

Ekata overview

Ekata provides identity data enrichment across phone, email, address, and IP signals to support fraud prevention and risk decisions. It suits mid-market to enterprise teams in financial services and retail that want lightweight identity signals to strengthen onboarding and payments. It is an enrichment layer rather than a full identity verification solution.

Company
Ekata (Mastercard)
Category
Data providers
Strongest in
Identity data enrichment
Best fit
Mid-market and enterprise risk teams

Where it is strongest

Key strengths

What Ekata does well.

01

Lightweight identity enrichment

Provides phone, email, address, and IP signals through a straightforward API to inform risk decisions.

02

Well regarded on accuracy

Community reports cite a 4.5 out of 5 rating on G2 across dozens of reviews, with praise for identification accuracy.

03

Quick to integrate

Reports describe a lightweight API and reliable SDKs that are quick to add to existing flows.

Who it suits

Best for

Where Ekata fits, and what to plan for.

Honest notes on the trade-offs, each with a way to cover the gap inside a Zenoo flow.

Best for
  • Mid-market to enterprise teams in financial services and retail
  • Teams wanting identity enrichment signals to reduce vendor sprawl
Considerations
  • Cost at high volume. Some reports suggest usage-based pricing can rise sharply with traffic, which may not suit thin-margin, high-volume merchants. Running it inside a Zenoo flow lets you call it selectively and fall back to another source when it is not needed.
  • Enrichment, not full IDV. It provides identity signals rather than end-to-end verification, so pair it with a document or biometric IDV provider in the same Zenoo orchestration.
You

Open the customer's case

What your team sees

The Ekata result, beside everything else.

The result sits with screening and review on one case, so nobody checks a second tool to see the whole customer.

LA
Lorraine AshcombeSample case · Personal
In review
EkataRecorded
Name and date of birthAgrees
PEP screeningSuggested
Name matches a list entry, but the date of birth differs. Suggest you clear as a false positive.Zenoo suggests, your team decides
Zenoo

Hands it to your team

You

Tomorrow, your case

Bring us a case that went wrong.

We will run it through Zenoo while you watch: the evidence, the decision, and the record your MLRO would want to defend.

30 minutes. Your data. No slides.