ContextQA
AI-native testing for enterprise applications and AI agents, with test generation, self-healing automation, code export, and MCP integration.
About ContextQA
ContextQA is an AI-native testing platform for teams that need to test enterprise applications and AI agents in one system. It covers web, mobile, API, database, Salesforce, SAP, AI-agent, and voice-agent testing, with no-code workflows for getting started. Teams can generate tests from Jira, Figma, Swagger, video, or plain English, while self-healing behavior repairs selectors when an interface changes. The platform also provides AI root-cause analysis, coverage reporting, and code export to Playwright, Selenium, Cypress, or WebdriverIO. Its MCP server connects testing workflows to tools including Claude, Cursor, and VS Code. ContextQA prices plans by usage and outcomes rather than seat count. Starter, Growth, and Enterprise tiers are sized to an organization’s applications, release cadence, and AI-agent footprint. The platform suits QA, engineering, and product groups seeking broad test coverage without a proprietary scripting language. Buyers should account for a sales-led purchase: plan amounts are customized, a demo is the main entry point, and SSO, on-premises deployment, security hardening, multi-team governance, a dedicated customer success manager, and a 24/7 enterprise SLA require the Enterprise tier.
Best for
Best use cases
Generate tests from Jira, Figma, Swagger, video, or plain English
Repair changing selectors and rerun affected browser flows
Test AI agents for hallucinations, guardrail failures, and regressions
Compare before choosing
Usage- and outcome-based pricing avoids per-seat licensing
Code export reduces dependence on a proprietary test format
MCP support enables testing workflows from Claude, Cursor, and VS Code
Features
Enterprise application testing
Build and run tests across web, mobile, API, database, Salesforce, SAP, and ERP workflows from one platform.
AI and voice agent validation
Probe AI and voice agents for hallucinations, guardrail failures, and regressions before release.
Low-maintenance browser automation
Generate browser tests in plain English, run them across Chrome, Firefox, Edge, and Safari, and use self-healing locators when interfaces change.
Pros
- Usage-based pricing lets QA, engineering, and product users participate without adding per-seat charges.
- Self-healing locators can reduce maintenance when browser interfaces and selectors change.
- Code export and MCP support make the platform compatible with common automation frameworks and AI coding tools.
Cons
- Customized pricing requires a demo and quote before teams can calculate or compare total cost.
- SSO, on-premises deployment, security hardening, governance, and a 24/7 SLA require the Enterprise tier.
- The broad platform and usage-based plan sizing require buyers to define their application, release, and AI-agent testing footprint during procurement.
Pricing Plans
Starter
- AI-native test creation
- Self-healing tests
- SOC 2 Type II, ISO 27001, and GDPR compliance
- Runs in your cloud
- Per-project isolation
Growth
- Everything in Starter
- Expanded testing footprint
- Usage-based plan sizing
- Code export to Playwright, Selenium, Cypress, and WebdriverIO
- MCP interface for agentic workflows
Enterprise
- Everything in Growth
- Salesforce, SAP, and ERP testing
- AI-agent and voice-agent testing
- SSO, on-premises deployment, and security hardening
- Multi-project and multi-team governance
- Dedicated customer success manager and 24/7 enterprise SLA
* Pricing information is for reference only. Please refer to the latest announcement on ContextQA's official website.