How do their growth rates compare?

DebuggAI has a month-over-month growth rate of -67.6%; QA Sphere has +44.4%.

How does pricing compare?

DebuggAI: Freemium, Contact for Pricing. Freemium with self-serve tiers. A Free plan covers public repositories with 100 tests per month and PR comments. Pro is listed at about $20/month for private repos and 1,000 tests/month, and Grow at about $40/month for 5,000 tests/month with team management. An Enterprise plan offers unlimited tests, SSO/SAML and custom integrations via sales contact. Annual billing advertises roughly 20% savings. No credit card is required to start. QA Sphere: Free Trial, Paid, Contact for Pricing, Free. Free for teams of up to 3 users with limited AI credits and 1 GB storage. Standard is $12 per user per month and Business is $24 per user per month, with a custom Enterprise tier for compliance and organizational needs. A 30-day trial is available with no credit card required.

What are alternatives to DebuggAI and QA Sphere?

Other tools in related categories include KaneAI, Aikido Security, Jam, Qase, Katalon.

DebuggAI vs QA Sphere — Traffic (522 vs 15.68K), Pricing & Verdict

Open AI Tools

DebuggAI vs QA Sphere — Traffic (522 vs 15.68K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	DebuggAI	QA Sphere
Official Domain	debugg.ai	qasphere.com
Pricing Model	Freemium, Contact for Pricing	Free Trial, Paid, Contact for Pricing, Free
Monthly Visits	522 (522)	15.68K (15,678)
MoM Traffic Delta	-1.09K (-67.6%)	+4.82K (+44.4%)
Primary Market & Share	🌐 Global (—)	🇩🇪 Germany (69.6%)
Direct Visits / mo	203	9.88K
User Rating	4.2	4.1
Supported Platforms	Website	Website

DebuggAI

AI agents that test your web app like a real user before you merge

AI agents that mimic real users

DebuggAI explores every page, button and flow your customers use, so critical paths are tested rather than just the ones someone remembered to script.

Results inside your workflow

Test outcomes appear in GitHub pull request comments and your existing tools, with clear pass/fail status, screenshots and video replays of anything that broke.

No code, no setup, no maintenance

Connect your app once in a couple of minutes; the platform manages servers, browser runs and configuration so your team has nothing to maintain.

MCP server for AI assistants

Ask Claude, Cursor or Codex in plain English to test your app; DebuggAI spins up a real browser, runs the tests and replays what happened.

Strengths & Pros

+Zero-config, fully managed setup that requires no test code to write or maintain
+Clear per-PR pass/fail results with screenshots and video replays
+Free tier for public repositories and a low self-serve entry price
+Works with AI coding assistants through an MCP server