🆚 Castle vs. Plaid

Type

Fraud prevention software
Payment service

About

Castle is a fraud prevention platform that helps businesses block bad bots, account takeovers, transaction fraud, and spam. It provides device fingerprinting, behavioral analysis, and AI scoring to detect and mitigate fraudulent activities in real time.

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.

Headquarters

New York, United States
San Francisco, California, United States

Website

Pricing

Free version ✔️Up to 1,000 API calls
Pro$200/month
Enterprise$4,000+/month
Free version ✔️Unlimited sandbox test API calls, 200 live API calls per product
ScaleCustom

Categories

Fraud Prevention › Rank #41
Fraud Prevention › Rank #20
Bot Mitigation › Rank #31
Spam Protection › Rank #16
Payments › Rank #52

Popularity

Determined by the number of sites using each technology.

The Plaid payment service is 30 times more popular than Castle.
Total websites

Market share

Fraud Prevention

Popularity by country

Determined by the number of sites detected from each country.

Plaid is more popular than Castle in all countries.
United States
Canada
United Kingdom
Ireland
Netherlands
Australia
Brazil
Spain
Czech Republic
Austria

Awards

Popularity by domain category

Determined by the number of sites in each category.

Plaid is more popular than Castle in all market segments.
Travel
Business
Finance/Banking
Marketing/Merchandising
Non-Profit/Advocacy/NGO
Internet Services
Religion/Ideology
Software/Hardware
Real Estate
Online Shopping

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#12
#17,606
#658,159
View more ➝
Name
Rank
#12
#1,387
#2,851
View more ➝

See also

🗃️ About This Data