🆚 Plaid vs. TruValidate

Type

Payment service
Fraud prevention software

About

Plaid is a financial data aggregator that provides payment processing, identity verification, payment risk reduction, and onboarding solutions.

It verifies identities with document, selfie, phone, email, and device checks, screens against watchlists, and offers risk scoring for bank transfers to predict return risk and ownership mismatches, while also supporting account connection and KYC compliance through a single integration.

The TransUnion TruValidate suite provides identity proofing, risk-based authentication, and fraud analytics. It creates a comprehensive consumer view by integrating proprietary data, personal information, device identifiers, and online behavior.

Headquarters

San Francisco, California, United States
Chicago, Illinois, United States

Website

Pricing

Free version ✔️Unlimited sandbox test API calls, 200 live API calls per product
ScaleCustom

Categories

Payments › Rank #51
Fraud Prevention › Rank #20
Fraud Prevention › Rank #9

Popularity

Determined by the number of sites using each technology.

The TruValidate fraud prevention software is 4 times more popular than Plaid.
Total websites

Market share

Fraud Prevention

Popularity by country

Determined by the number of sites detected from each country.

TruValidate is more popular than Plaid in all countries.
United States
France
United Kingdom
Germany
Australia
Canada
Japan
Spain
Netherlands
Switzerland

Awards

Popularity by domain category

Determined by the number of sites in each category.

TruValidate is more popular among sites focused on online shopping, business, and marketing and merchandising, while Plaid is more commonly used on travel, non-profit, advocacy and NGO, and religion and ideology sites.
Online Shopping
Business
Marketing/Merchandising
Fashion/Beauty
Travel
Finance/Banking
Health
Software/Hardware
Real Estate
Internet Services

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#12
#1,387
#2,851
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Name
Rank
View more ➝

See also

🗃️ About This Data