Is It Ready – Autonomous AI QA Testing PlatformIs It Ready
Features
  • Spec-driven testing
  • AI & MCP server testing
  • AI accessibility audit
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Pricing

AI QA testing priced by the work it does

Subscribe per seat and get monthly AI and compute credits, or pay as you go from a prepaid balance with no monthly bill. Every plan includes every test engine.

Pay as you go

$25 to start

No monthly bill · Single seat

  • 15,000 AI credits
  • 500 compute credits
  • Consumed at 2× the plan rate
  • Credits never expire · Top up any time
Get started

Pro

$99/seat/mo

Single seat

  • 1,000 AI credits/month
  • 500 compute credits/month
Get started
Most popular

Team

$125/seat/mo

2–25 seats

  • 1,000 AI credits/month
  • 500 compute credits/month
Get started

Enterprise

Custom

5+ seats

  • Negotiated contract & custom allowances
Contact sales

Annual billing saves 10%. Default list prices shown. Your workspace's billing page is authoritative.

What every plan includes

Plans differ by seats and included credits, not by features. A solo developer on Pro and a 25-person team get the same engines, evidence and integrations.

Every test engine

Browser missions, site explorations, API, load, responsive, i18n and security tests, and MCP server missions all draw on the same credits. No add-ons per test type.

Spec-driven planning

Upload PRDs, user stories and feature docs; the AI plans risk-based scenarios from them and keeps a test plan current as specs change.

Evidence on every finding

Screenshots, network traffic, console errors and step-by-step reproduction for each bug, UX issue and spec mismatch.

Accessibility and UX scoring

axe-core WCAG audits and a nine-lens UX evaluation run as part of every browser scenario at no extra charge.

CI/CD integration

A REST API with pipeline exit codes, plus Markdown, JUnit and SARIF exports, so a run can gate a pull request.

Regression replays

Passing runs become baselines. Cheap regression profiles and cached-path replays re-check them for a fraction of a first run.

How credits work

Is It Ready meters two things separately, because they cost different amounts to provide. AI credits cover the language-model work in a run: reading your specs, planning scenarios, choosing every browser action, judging outcomes, and scoring the experience. Compute credits cover the runner — the real browser or protocol client executing the test — at 1 minute of wall-clock time per credit.

Pro and Team include 1,000 AI credits and 500 compute credits per organization each month. Pro is a single seat at $99 per month; Team is $125 per seat for 2 to 25 people. Top-up packs are available on every plan whenever a busy release cycle needs more.

Before a run starts, Is It Ready checks both balances and reserves an estimate based on your own recent runs, so you can never start work you cannot cover. When a run finishes, it is debited for what it actually used, and the run page shows the cost broken down by phase and by scenario so you can see where the spend went.

The biggest lever on cost is the cost profile on each mission. A thorough profile plans more scenarios and lets the agent take more steps; a regression profile replays a known-good path with a cheap planner. Teams typically explore a new feature thoroughly once, then gate every pull request with a regression replay.

Built for teams that ship

Security and data handling are part of the product, not an upsell.

✓Domain-verified security testing

Security scans and red-team missions only run against domains your organization has verified.

✓Credentials never stored in evidence

Sign-in values are redacted from run evidence; only the outcome and landing page are recorded.

✓Configurable retention

Run evidence is redacted after 90 days by default, adjustable per organization.

✓Isolated workspaces

Every app, spec, run and API key belongs to one organization and is invisible to every other.

✓CI-native output

Exit codes for pipelines, plus Markdown, JUnit and SARIF exports for GitHub code scanning.

Plug runs into GitHub Actions, GitLab CI, Jenkins, Azure Pipelines or CircleCI with the REST API: start a run, poll it, and exit non-zero when findings cross your severity threshold. See how it works on the spec-driven testing page.

Pricing questions

What is an AI credit?
AI credits pay for the language-model work in a run: planning scenarios from your specs, deciding each browser step, judging results and scoring UX. A run's debit is its actual model spend, so a short smoke test costs far less than a thorough exploratory mission.
What is a compute credit?
Compute credits pay for runner time — the real browser or test process doing the work. One compute credit covers 1 minute of wall-clock execution.
How does pay as you go work?
There is no subscription. You buy a credit balance starting at $25 (15,000 AI credits and 500 compute credits), it never expires, and you top up when you choose. Pay-as-you-go runs consume credits at 2× the plan rate, so a subscription is cheaper once you test regularly.
What happens when I run out of credits?
New runs are paused until you top up or your monthly allowance renews. On a monthly plan, a run that is already in progress is allowed a small overdraft so it can finish cleanly instead of stopping halfway through a scenario. Pay-as-you-go balances have no overdraft: a run stops at zero and you can resume after a top-up.
Can I control how much a run costs?
Yes. Every mission has a cost profile — thorough, balanced, economical, cheap or regression — that bounds how many scenarios are planned and how many steps or tool calls each may take. Organizations can also set monthly spend limits, per organization and per member.
Is there a discount for annual billing?
Yes. Paying annually saves 10% on Pro and Team seats.
Can I try it before I buy?
Run a free scan of your public site: an AI agent browses a sample of your pages read-only and emails you the accessibility, error and UX findings. No account is needed.

Explore the platform

Spec-driven testing →

Turn PRDs, user stories and feature docs into risk-based test scenarios an AI agent runs in a real browser.

AI & MCP server testing →

Exercise, contract-test and red-team Model Context Protocol servers the way a real MCP client would.

AI accessibility audit →

axe-core WCAG audits on every page the agent visits, with UX scoring and evidence alongside each violation.

Find out if it's ready.

Start on pay as you go with no commitment, or get a free scan of your site first.

Get startedGet a free scan →

Is It Ready

Autonomous AI QA testing for web apps, APIs and MCP servers.

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  • Spec-driven testing
  • AI & MCP server testing
  • AI accessibility audit

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