Web

Free

AI Test Automation Platform for Enterprise AI Agents

FreeFree tier

Inputs: text, video, image

Type

Open Source

Visit Website GitHub (40 stars)

About Web

ContextQA is an AI-native test automation platform for enterprise teams that tests both traditional applications (web, mobile, API, database) and AI agents. It uses AI to generate test cases from plain English, Jira, Figma, Swagger, or video, and features self-healing tests that automatically fix broken selectors. The platform integrates with CI/CD pipelines and provides an MCP server for AI assistants like Claude, ChatGPT, Cursor, and VS Code to run tests without switching tools. It also offers specialized AI agent testing for non-deterministic agents on platforms like Agentforce, Bedrock, Azure AI, and Snowflake Cortex, covering hallucinations, tool calls, guardrails, and regression. ContextQA has executed over 18 million tests and auto-fixed 3 million broken tests.

Key Features

AI-Generated Test Cases from plain English, Jira, Figma, Swagger, or video

Self-healing tests that automatically fix broken selectors during test runs

Cross-browser and cross-device testing across Chromium, Firefox, WebKit, and mobile

MCP Server connecting AI assistants (Claude, ChatGPT, Cursor) to 50 testing tools

AI Agent Testing for non-deterministic agents on Agentforce, Bedrock, Azure AI, and Snowflake Cortex

CI/CD integration with GitHub, GitLab, Jenkins

Code export to Playwright, Selenium, Cypress, WebdriverIO

AI root-cause analysis and visual regression testing (Growth plan)

Native support for Salesforce, SAP, and ERP testing (Enterprise plan)

Pros & Cons

Pros

AI-native architecture designed for testing from day one, not retrofitted
Self-healing test locators significantly reduce flaky test maintenance
Plain English test creation lowers the learning curve for non-technical team members
MCP integration allows testing workflows directly from AI assistants and IDEs
Usage-based pricing avoids per-seat taxes, enabling entire teams to collaborate
Supports both traditional enterprise apps and modern AI agents in one platform

Cons

No publicly listed pricing requires a demo call to get a customized quote
Some advanced features (SAP testing, SSO, on-prem) are limited to higher-tier Enterprise plan
May require integration effort for legacy or proprietary systems without existing connectors

Best For

Automated regression testing for web, mobile, API, and database applicationsValidating AI agents for hallucinations, guardrails, tool calls, and multi-turn conversations before productionScaling QA automation for fast release cycles without needing specialist codersEnabling testers to create and run tests directly from IDEs via MCP (Cursor, VS Code, Claude Code)Continuous testing across staging, production, and multiple environments in a single pipeline

FAQ

How is ContextQA priced?

ContextQA is priced on usage and outcomes — what you actually test, not how many people log in. There is no per-seat tax. The plan is sized to your apps, release cadence, and AI-agent footprint during a short call.

Why don't you publish prices?

Because a flat number would be misleading. A team testing one web app and a team testing Salesforce, SAP, and a fleet of AI agents have very different footprints — a single sticker price would either overcharge the first or undercharge the second.

Do you offer a free trial or pilot?

Yes. Most teams start with a scoped pilot on a real app in your environment, so you can see ContextQA generate and self-heal tests against your own product before committing.

What happens on the demo call?

We look at your stack (web, mobile, API, Salesforce, SAP, AI agents, etc.), show ContextQA generating and running tests against something close to your real app, and walk through which tier and rollout plan fits. No slide-deck pitch or pressure to decide.

Can I move between plans as we grow?

Yes, plans are meant to move with you. You can upgrade as your testing needs expand.