Updated March 2026

Zerocheck vs QA.tech

QA.tech also uses PR-diff-aware agent testing. Compare reliability signals, pricing, evidence, and approval controls.

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What QA.tech does well

•PR-diff analysis that targets tests to code changes - the closest approach to Zerocheck's model in the market
•Agent-based browser checks without customer-maintained selectors
•Architecture built around agent-driven browser testing
•Strong content marketing with 172 blog posts, 70 changelog entries, and dedicated Cursor/AI-coding ecosystem pages
•Transparent pricing published on their site ($499-$2,499/mo annual), with persona-based solutions pages for CTOs and QA teams

Where QA.tech falls short

—Very small team (11 employees) with a limited track record - roughly 40 beta customers to date
—Higher starting price at $499/month ($624/month if paying monthly), with per-execution pricing that can escalate as your suite grows
—Per-execution model means costs are unpredictable - the more you test, the more you pay
—Limited public validation - few independent reviews or case studies beyond their own marketing
—No Run evidence generation - no compliance artifacts, no control tagging, no JSON run evidence exports
—Early product with uncertain reliability at scale - unclear how agent-based execution performs across large, complex codebases

How Zerocheck differs

JSON run evidence generated from executed browser runs
Editable specs and suggested tests you review before approval
Approved customer-authored tests for important auth and checkout-adjacent flows
GitHub App setup from a URL and repository connection
Semantic resolution with confidence checks - low-confidence actions fail with evidence instead of silently passing
Flat pricing that does not scale with execution volume

Side-by-side

Feature

QA.tech

Zerocheck

Test generation

Agent-based from PR diffs

PR-diff-aware + editable specs

Hard flows (Stripe, OAuth)

No built-in primitives

Approved customer-authored coverage

Run evidence

Not available

JSON artifacts per run

Pricing model

Per-execution ($499-$2,499/mo)

Flat pricing

Setup

Configuration required

GitHub App + URL

Self-healing transparency

Agent-driven (opaque)

Evidence on every executed run

Also compare

vs Playwright vs Playwright MCP vs Selenium vs Cypress vs BrowserStack vs LambdaTest vs Katalon vs Sauce Labs vs TestRail vs testRigor vs QA Wolf vs Octomind vs Rainforest QA vs Checksum vs Momentic vs Mabl vs Tricentis Testim

FAQ

How is QA.tech different from Zerocheck?

QA.tech and Zerocheck share a similar mechanism: both analyze PR diffs and use AI agents to test your app. The key differences are that Zerocheck generates JSON run evidence from executed browser runs, uses approved tests and reviewable suggestions for auth and checkout-adjacent flows, and uses flat pricing instead of per-execution billing.

How much does QA.tech cost compared to Zerocheck?

QA.tech starts at $499/month on an annual plan ($624/month if paying monthly) and goes up to $2,499/month. Their per-execution pricing model means costs grow as your test suite scales. Zerocheck uses flat pricing that does not increase with execution volume.

Does QA.tech generate Run evidence?

No. QA.tech has no run evidence features, no control tagging, and no JSON run evidence exports. Zerocheck generates JSON run evidence from executed browser runs automatically, which matters for teams going through or maintaining compliance.

Can QA.tech handle Stripe checkout and OAuth flows?

QA.tech relies on its AI agent to navigate these flows, with no built-in primitives for payment or authentication. Zerocheck can run approved customer-authored browser tests for safe auth and checkout-adjacent flows. Built-in Stripe, 3DS, and email primitives are not shipped in V1.

Is QA.tech reliable at scale?

QA.tech is an 11-person team with roughly 40 beta customers. While one customer reported replacing 320 hours/month of manual testing, the product has limited public validation and few independent reviews. Zerocheck provides transparent confidence scoring on every test run so you can assess reliability yourself.