Softprobe provides a no-code platform for capturing and replaying user behavior at a pixel level, enabling detailed analysis of user interactions and pain points. It automates real-time traffic testing and uses AI to correlate user behaviors with system profiles, improving software quality and reducing testing costs.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses face challenges in reproducing customer-reported issues, analyzing user behavior, and maintaining test scripts due to insufficient logs and disconnected data. This leads to high software testing costs and operational inefficiencies.
Solution
Softprobe offers a no-code, full-stack data insights and automation platform designed to address these challenges. The platform captures and replays user behavior at a pixel level, providing detailed insights into user interactions and pain points. It also facilitates real-time traffic testing by capturing, replaying, and automating user scenarios. By integrating AI-powered analysis of user behaviors and profiles, Softprobe enables root cause analysis and data-driven decision-making, thereby improving software quality and reducing testing costs.
Target Audience
The platform is designed for software development and QA teams, including those in e-commerce, fintech, and other industries, who require efficient bug reproduction, user behavior analysis, and automated testing without extensive coding.
Features
- Agent-based Java agent for production traffic capture, recording inbound API calls and outbound dependencies.
- Schedule Service for replaying captured production traffic in test environments to simulate real-world scenarios.
- Result Verification module that compares API responses and dependency traffic against recorded data for comprehensive reporting.
- Web Pixel level rebuild for detailed user behavior analysis and visualization.
- No-code automation capabilities for capturing, replaying, and automating user scenarios.
- AI-powered full-stack analysis correlating user behaviors with system profiles.
- Support for various API types including RESTful, SOAP, and GraphQL.
- Capability to test write operations to databases, message queues, and Redis, with data validation and cleanup.
- Test case export functionality to formats like Postman collections and cURL commands, with potential for JUnit test generation.
- Integration capabilities with existing testing frameworks such as JUnit, TestNG, and Selenium via API.