Devzery 记录了 2,378 月访问量,月度环比增长为 -85.1%,定价为定价请咨询。QA.tech 记录了 30,550 月访问量,增长率为 -4.4%,定价为付费,定价请咨询。
| 维度 / 指标 | ![]() | ![]() |
|---|---|---|
| 官方域名 | devzery.com | qa.tech |
| 定价模式 | 定价请咨询 | 付费,定价请咨询 |
| 月访问量 | 2378 (2,378) | 3.06万 (30,550) |
| 月度环比流量变化 | -1.36万 (-85.1%) | -1416 (-4.4%) |
| 主要市场与份额 | 🇺🇸 美国 (87.1%) | 🇸🇪 瑞典 (24.4%) |
| 直接访问 / 月 | 945 | 2.12万 |
| 用户评分 | 4.2 | 4.3 |
| 支持的平台 | 网站 | 网站 |

面向 API 功能回归测试的自主 AI 智能体
AI 智能体在 API 层面运行端到端功能回归测试,并实时跟踪 API 变更。
Devzery 分析你的 PRD 或项目详情,生成富含上下文的 API 测试用例,包括边界场景以扩大覆盖。
AI 分析复杂数据结构,为你的 API 生成准确且最新的 Swagger 架构定义。
接入 Jira、GitHub Actions 和 Jenkins,在合并与部署时自动触发回归套件。

自主 AI 测试智能体,在每次 Pull Request 时验证你的网页与移动应用
在对话中描述旅程或规则,智能体即将其转为可承受重构与改版的持久测试用例。
每个 Pull Request 都会得到动态探索测试、预览环境验证、失败拆解、截图以及控制台与网络日志。
智能体面向真实浏览器与 iOS、Android 原生应用,覆盖范围超越网页前端。
发现的问题可流入 Jira 与 Linear,其他编码智能体也能通过 MCP 查询测试结果。

自动编写、运行并自愈测试套件的智能体式端到端测试

testRigor is an agentic AI test automation platform that lets you build end-to-end tests in plain English instead of code. It covers web, mobile, native desktop, API, email, SMS, phone calls, 2FA, and mainframe testing, includes free unlimited Generative AI, and self-heals tests so manual QA teams can automate without engineering help.
testRigor is an agentic AI test automation platform that lets you build end-to-end tests in plain English instead of code. It covers web, mobile, native desktop, API, email, SMS, phone calls, 2FA, and mainframe testing, includes free unlimited Generative AI, and self-heals tests so manual QA teams can automate without engineering help.
面向 Web、iOS 与 Android 的智能体 AI 质量工程

Virtuoso QA is an enterprise agentic test automation platform. Its Touchstone AI layer builds, runs and maintains tests from your documentation, so teams sign off on every release with evidence.
Virtuoso QA is an enterprise agentic test automation platform. Its Touchstone AI layer builds, runs and maintains tests from your documentation, so teams sign off on every release with evidence.

专项更强Equixly is an autonomous penetration testing and AI red teaming platform. Powered by its own AI model, it continuously tests web applications, APIs, GenAI apps, and MCP servers, validating exploits and chaining findings into real attack paths.