# Devzery vs QA.tech Devzery records 2,378 monthly visits with -85.1% month-over-month growth and Contact for Pricing pricing. QA.tech records 30,550 monthly visits with -4.4% growth and Paid, Contact for Pricing pricing. | Metric | [Devzery](https://openaitools.app/tool/devzery) | [QA.tech](https://openaitools.app/tool/qa-tech) | | :--- | :--- | :--- | | Website URL | https://www.devzery.com | https://qa.tech | | Categories | AI Testing, AI API, AI Agent, AI Developer Tools | AI Testing, AI Agent, AI Developer Tools, AI Productivity Tools | | Pricing Model | Contact for Pricing | Paid, Contact for Pricing | | Monthly Visits | 2,378 | 30,550 | | MoM Growth Rate | -85.1% | -4.4% | | Primary Market | United States | Sweden | | Direct Visits | 945 | 21,231 | | Review Score | 4.2 | 4.3 | | Saved Count | 1 | 0 | | Supported Platforms | Website | Website | ## Devzery Devzery is an AI-powered API regression testing platform for QA and engineering teams. Its core is a self-driving AI agent that runs end-to-end regression tests at the API level, verifying user-level functionality, validating integrations and tracking API changes in real time. The goal is to catch regressions earlier in the SDLC and shrink the time spent on manual test authoring. The platform generates context-rich test suites from a PRD or project details, adapts tests automatically as APIs change, and produces AI-written bug reports with status, related test cases, expected versus actual results and error descriptions. It also generates Swagger documentation for APIs automatically, removing a common manual chore. Devzery integrates with project management and CI/CD tools such as Jira, GitHub Actions and Jenkins so regression suites can be triggered on every merge or deployment. A middleware SDK with Node, Java, Python and Golang support logs API requests and responses for continuous regression coverage, and Devzery also publishes an open-source UI test case generator on GitHub. **Pricing & Plans:** Devzery does not publish public list prices; pricing is available on request (the product site currently invites users to join a waitlist). Contact the Devzery team for plan details and a demo. - **Self-driving API regression agent:** An AI agent runs end-to-end functional regression tests at the API level and tracks API changes in real time. - **AI-generated test suites:** Devzery analyzes your PRD or project details to generate context-rich API test cases, including edge-case scenarios for broader coverage. - **Automatic Swagger documentation:** AI analyses complex data structures and generates accurate, up-to-date Swagger schema definitions for your APIs. - **CI/CD and project management integrations:** Plug into Jira, GitHub Actions and Jenkins to trigger regression suites automatically on merges and deployments. - **Middleware SDK logging:** Middleware SDKs for Node, Java, Python and Golang log API requests and responses for continuous regression coverage. **Strengths:** Automates API-level regression testing end to end; Generates test cases from PRDs and product context; Native integrations with Jira, GitHub Actions and Jenkins; Open-source UI test case generator available **Limitations:** No public pricing; you must contact the team; Product is early-stage with a waitlist for new users; Some marketing claims (2x/3x multipliers) are vendor-reported [Profile (Markdown)](https://openaitools.app/tool/devzery.md) ## QA.tech QA.tech positions itself as the verification layer for teams shipping software with heavy AI assistance: coding got much faster, but review and QA did not keep pace. Instead of maintaining a fragile library of selectors and scripts, QA.tech runs autonomous agents that open your live web or native mobile app, work toward goals the way a person would, and report back on what actually works before code is merged.,The product is built around continuous, dynamic testing rather than one-off suites. Connect GitHub, GitLab or Bitbucket and a CI provider, and agents automatically pick up each pull request together with its preview environment, run end-to-end and exploratory passes, and comment on the PR with results. When something fails, you get screenshots, console and network activity and the agent's reasoning at the point of failure, which shortens time to root cause considerably.,Testing is also context-aware over time. Journeys and domain rules you spell out in chat accumulate as knowledge the agents reuse on every later run, and a blast-radius view flags changes that ship untested because a required test user or journey is missing. The platform is cloud-native, needs no code access, and is targeted at QA leads, engineers, CTOs and DevOps teams; Vercel Ventures and founder investors back the company. Pricing is not published as a simple self-serve number — teams book a demo, though a free getting-started path is offered. **Pricing & Plans:** Enterprise-style, contact-for-pricing model: the site offers a free getting-started path and a demo booking rather than public per-seat numbers, so exact costs depend on team size, coverage scope and mobile testing needs. - **Plain-language test authoring:** Describe a journey or rule in chat and the agent turns it into durable test cases that survive refactors and redesigns. - **PR-level verification:** Every pull request gets a dynamic exploratory pass with preview environments, failure breakdowns, screenshots, console and network logs. - **Web and native mobile:** Agents target real browsers and native iOS and Android apps, so coverage reaches beyond the web front end. - **CI, Git and issue-tracker integrations:** Findings flow into Jira and Linear, and agents can be queried over MCP by other coding agents. - **Blast-radius analysis:** Detects when changes to a module are untested and recommends the exact journeys or test users needed to close the gap. **Strengths:** Agents test visually without selectors, so suites survive redesigns and framework migrations; Runs automatically on every pull request with preview environments; Plain-English test authoring is accessible to non-engineers; Rich failure evidence — screenshots, logs, network data and agent reasoning [Profile (Markdown)](https://openaitools.app/tool/qa-tech.md) ## Frequently Asked Questions ### How do Devzery and QA.tech compare in monthly traffic? Devzery has 2,378 monthly visits, while QA.tech has 30,550. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Devzery has a month-over-month growth rate of -85.1%; QA.tech has -4.4%. ### How does pricing compare? Devzery: Contact for Pricing. Devzery does not publish public list prices; pricing is available on request (the product site currently invites users to join a waitlist). Contact the Devzery team for plan details and a demo. QA.tech: Paid, Contact for Pricing. Enterprise-style, contact-for-pricing model: the site offers a free getting-started path and a demo booking rather than public per-seat numbers, so exact costs depend on team size, coverage scope and mobile testing needs. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) | | 2 | [Qase](https://openaitools.app/tool/qase) | 319,213 | -25.5% | Freemium, Free Trial, Contact for Pricing, Free | Ship with confidence: one system of record for manual, automated, and CI tests | [.md](https://openaitools.app/tool/qase.md) | | 3 | [Applitools Eyes](https://openaitools.app/tool/applitools-eyes) | 159,934 | -15.7% | Freemium, Free Trial, Paid, Contact for Pricing | AI-powered visual and functional testing that catches UI bugs on every page | [.md](https://openaitools.app/tool/applitools-eyes.md) | | 4 | [Katalon](https://openaitools.app/tool/katalon-studio) | 158,090 | -29.6% | Freemium, Free Trial, Paid, Contact for Pricing | AI-augmented quality platform for web, mobile, API and desktop testing | [.md](https://openaitools.app/tool/katalon-studio.md) | | 5 | [TestSprite](https://openaitools.app/tool/testsprite) | 114,205 | +15.8% | Freemium | Agentic end-to-end testing that writes, runs and heals your test suite | [.md](https://openaitools.app/tool/testsprite.md) | | 6 | [testRigor](https://openaitools.app/tool/testrigor-com) | 105,865 | -2.7% | Free Trial, Contact for Pricing, Free | Write end-to-end test automation in plain English, no code required | [.md](https://openaitools.app/tool/testrigor-com.md) | | 7 | [Momentic](https://openaitools.app/tool/momentic) | 68,819 | -15.2% | Freemium, Usage-based, Enterprise | Agentic AI QA engineer for web, iOS, and Android testing | [.md](https://openaitools.app/tool/momentic.md) | | 8 | [Autify](https://openaitools.app/tool/autify-com) | 60,130 | +6% | Contact for Pricing | AI testing platform for the entire software testing lifecycle | [.md](https://openaitools.app/tool/autify-com.md) | | 9 | [Virtuoso QA](https://openaitools.app/tool/virtuoso-qa) | 20,169 | +84.5% | Paid, Contact for Pricing | Agentic test automation that builds, runs and maintains your enterprise tests | [.md](https://openaitools.app/tool/virtuoso-qa.md) | | 10 | [Equixly](https://openaitools.app/tool/equixly) | 13,245 | -34.3% | Contact for Pricing | Autonomous penetration testing and AI red teaming beyond human limits | [.md](https://openaitools.app/tool/equixly.md) | --- Source: https://openaitools.app/compare/devzery-vs-qa-tech More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)