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Pricing

Pricing built around your testing footprint, not a seat count

Every team's mix of apps, AI agents, and release cadence is different — so is the right plan. Talk to us for 20 minutes and we'll size a plan to what you actually need to test.

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No card required. No seat tax. A real conversation, not a price calculator.

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Plans

Three ways to start, one way to grow

Every plan is AI-native from day one. What changes is breadth of coverage, governance, and how hands-on we are with you.

Starter

For teams proving out AI-native testing on a first app or two, fast.

  • AI-generated test cases from plain English or Jira
  • Web, mobile, and API testing
  • Self-healing tests out of the box
  • Code export to Playwright, Selenium, Cypress
  • CI/CD integration (GitHub, GitLab, Jenkins)
  • Community & Slack support
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Most popular

Growth

For teams scaling automation across releases, environments, and pipelines.

  • Everything in Starter, plus
  • AI root-cause analysis on every failure
  • Visual regression & performance testing
  • MCP server for Claude Code, Cursor, VS Code
  • Continuous testing across pipelines
  • Priority support with SLA response times
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Enterprise

For regulated, multi-team orgs that need governance, scale, and a dedicated partner.

  • Everything in Growth, plus
  • Salesforce, SAP & ERP testing
  • AI agent & voice agent testing
  • SSO, on-prem, and security hardening
  • Multi-project & multi-team governance
  • Dedicated CSM & 24/7 enterprise SLA
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Why teams switch

Built AI-native, not bolted on

A quick look at how ContextQA's core architecture differs from legacy automation tools.

CapabilityContextQAOther testing tools
AI test creationAI-native agents generate tests from Jira, Figma, Swagger, video, or plain EnglishAI features often bolted onto an older record-and-playback or scripting core
Self-healingBuilt in from day oneBasic locator healing, or none — manual upkeep as the app changes
MCP / AI-agentMCP server (~50 tools) for Claude, Cursor, VS CodeLimited or no agentic / MCP interface
Code exportClean export to Playwright, Selenium, Cypress, WebdriverIOOften locked to a proprietary format or the vendor's own runner
Pricing modelUsage / outcome-based, sized to your teamPer-seat licensing, or quote-only billed by parallel execution
Learning curveLow — plain English + agentic generationSteeper — a proprietary scripting language or custom syntax to learn

See the full ContextQA comparison →

Every plan includes

Enterprise-grade from Starter up

Runs in your cloud Per-project isolation
FAQ

Pricing, answered

ContextQA is priced on usage and outcomes — what you actually test, not how many people log in. There's no per-seat tax, so QA, engineering, and product can all use it without a bigger bill. We size a plan to your apps, release cadence, and AI-agent footprint on a short call.
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. A quick conversation gets you a number that's actually right for you.
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 to anything.
We look at your stack (web, mobile, API, Salesforce, SAP, AI agents, whatever applies), 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, no pressure to decide on the call.
Yes, plans are meant to move with you. Most teams start on Starter or Growth for one or two apps, then expand into Enterprise once Salesforce/SAP testing, SSO, or multi-team governance become relevant. Your CSM handles the transition, not a support ticket.
Per-seat tools charge more as more people need access, which quietly discourages QA, dev, and product from sharing one source of truth. ContextQA's usage-based model means adding teammates doesn't add cost — see the full Katalon comparison for the breakdown.

Let's find the plan that actually fits

Bring your stack, your release cadence, and your hardest testing problem. We'll leave the call with a plan sized to it — not a generic tier.

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