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About ContextQA
What is ContextQA?
ContextQA is an AI test automation platform designed for enterprise teams and AI agents. It automates end-to-end testing across web, mobile, API, and database layers, using AI to generate test cases from plain English or Jira, and to self-heal broken selectors. The platform has executed over 18 million tests and auto-fixed 3 million broken ones, reducing regression testing time by up to 80%.
What problem does it solve?
Traditional test automation is time-consuming and brittle, especially with modern CI/CD pipelines and non-deterministic AI agents. ContextQA solves this by letting teams describe flows in plain English, generating production-grade test suites automatically, and patching flaky locators within the same run. It also provides a dedicated AI agent testing capability for platforms like Agentforce, Bedrock, Azure AI, and Snowflake Cortex, catching hallucinations before users do.
Who is it for?
ContextQA is for QA engineers, development teams, and engineering leaders who need to keep up with fast release cycles. It is ideal for enterprises that want to automate testing of both traditional apps and AI agents without a steep learning curve. It is not for teams looking for a free, lightweight tool – the platform focuses on enterprise-grade features and customization.
Real use cases
Teams use ContextQA to replace manual regression testing, to validate AI agents before deployment, and to integrate testing into CI/CD pipelines across browsers and devices. For example, a company might use it to test a Salesforce integration, a mobile app, or an AI chatbot, all from one platform.
Key features
- AI-generated test cases – Point ContextQA at any flow and it writes a suite covering happy paths, edge cases, and failure states.
- Self-healing tests – Automatically patches broken locators within the same run, reducing flaky test maintenance.
- MCP server integration – Connects to Claude, ChatGPT, or Cursor to turn plain-English prompts into test actions.
- AI agent testing – Validates non-deterministic agents on platforms like Agentforce, Bedrock, Azure AI, and Snowflake Cortex.
- Cross-browser and device testing – Runs tests in parallel across Chromium, Firefox, WebKit, and mobile devices.
- CI/CD integration – Plugs into GitHub, GitLab, and Jenkins for continuous testing.
- Code export – Export tests to Playwright, Selenium, Cypress, or WebdriverIO.
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ContextQA Pricing
ContextQA pricing: Custom pricing – Request a demo.
For comparison: the median starting price in Developer Tools is $19.99/month, measured across 278 tools we track. See the full SaaS Pricing Index →
Starter
For teams proving out AI-native testing. Includes AI-generated test cases from plain English or Jira, web/mobile/API testing, self-healing tests, code export, and CI/CD integration. Community & Slack support. Request a demo for pricing.
Growth (Most popular)
For scaling automation. Includes everything in Starter, plus AI root-cause analysis, visual regression & performance testing, MCP server for Claude Code/Cursor/VS Code, continuous testing, and priority support with SLAs. Request a demo for pricing.
Enterprise
For regulated, multi-team orgs. Includes everything in Growth, plus Salesforce/SAP/ERP testing, AI agent & voice agent testing, SSO/on-prem/security hardening, multi-project governance, dedicated CSM, and 24/7 enterprise SLA. Request a demo for pricing.
All plans include SOC 2 Type II, ISO 27001, GDPR compliance, and run in your cloud. No card required for demo.
Frequently asked questions
How much does ContextQA cost?
ContextQA is priced based on usage and outcomes, not per seat. There is no per-seat tax. You need to request a demo to get a custom quote tailored to your testing footprint.
Is ContextQA free?
No, ContextQA does not offer a free plan. They offer a free demo call to size a plan, with no credit card required.
What is ContextQA used for?
ContextQA is used for automating end-to-end testing of web, mobile, API, and backend, as well as testing AI agents. It helps teams speed up regression testing and reduce flaky test maintenance.
Who is ContextQA best for?
ContextQA is best for enterprise teams and QA engineers who need to test both traditional applications and AI agents at scale, with AI-native features and self-healing capabilities.
What are the top alternatives to ContextQA?
Alternatives include legacy automation tools like Selenium, Cypress, and Playwright, which require manual scripting. ContextQA differentiates with AI-powered test generation, MCP server, and dedicated AI agent testing.
Does ContextQA require coding skills?
No. ContextQA uses plain English and AI generation to create tests, so you can start without writing code. However, it also supports code export for teams that want to use frameworks like Playwright or Cypress.
