Scalarr Description

Machine Learning and laser-focused mobile fraud detection. Scalarr's next-generation dual-layered Machine Learning algorithms detect in-app fraud with a 97% accuracy. This protects against the most serious mobile advertising threats. Scalarr is available for testing! Scalarr allows you to inspect, inspect, and prevent mobile application install fraud using unsupervised machine learning capabilities. Scalarr uses both semi-supervised and unsupervised machine learning algorithms to detect and recognize fraud patterns in large amounts of data. Scalarr analyzes hundreds upon hundreds of clicks, installations, and post-install events features and variables. This reduces false-positive and false negative errors. Scalarr, which has an advanced model view that focuses on accuracy and completeness, is a powerful tool that provides meaningful outputs at the level of every conversion.

Pricing

Free Trial:
Yes

Integrations

Reviews

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Company Details

Company:
Scalarr
Year Founded:
2016
Headquarters:
United States
Website:
scalarr.io

Media

Scalarr Screenshot 1
Recommended Products
Our Free Plans just got better! | Auth0 by Okta Icon
Our Free Plans just got better! | Auth0 by Okta

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your secuirty. Auth0 now, thank yourself later.
Try free now

Product Details

Platforms
SaaS
Type of Training
Live Online
Customer Support
24/7 Live Support
Online

Scalarr Features and Options

Click Fraud Software

Account Alerts
Activity Monitoring
IP Address Monitoring
IP Blocking
Keyword Tracking
Refund Management
Risk Assessment
Time on Site Tracking

Scalarr Lists

Scalarr User Reviews

Write a Review
  • Previous
  • Next