BasicAI Cloud 记录了 21,670 月访问量，月度环比增长为 -13.1%，定价为 Freemium, Enterprise Quote。Postman 记录了 1,764,877 月访问量，增长率为 -7.6%，定价为免费增值。
为 AI 训练数据而生的标注平台与托管标注服务
设计、测试与治理 API —— 让 AI 智能体参与其中
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | basic.ai | postman.com |
| 定价模式 | Freemium, Enterprise Quote | 免费增值 |
| 月访问量 | 2.17万 (21,670) | 176.49万 (1,764,877) |
| 月度环比流量变化 | -3266 (-13.1%) | -14.45万 (-7.6%) |
| 主要市场与份额 | 🇺🇸 美国 (21.7%) | 🇮🇳 印度 (22.9%) |
| 直接访问 / 月 | 8706 | 58.02万 |
| 用户评分 | 4.2 | 4.7 |
| 支持的平台 | 网站 | 网站 |
为 AI 训练数据而生的标注平台与托管标注服务
在一个平台内支持边界框、多边形、关键点、语义分割、3D 点云立方体、文本/NLP 标注以及 RLHF 数据集创建。
覆盖图像、点云与音频的自动标注辅助，在保持精度的同时减少人工投入。
项目管理可适配团队结构，支持自定义工作流、进度追踪与详细绩效报表。
实时反馈结合可定制的批量质检规则，及早发现问题并锁定人工复核范围。
设计、测试与治理 API —— 让 AI 智能体参与其中
多协议客户端，支持集合、环境、变量与可复用请求，既可用于本地调试，也能驱动自动化测试套件。
自动生成断言，支持导出数据集的数据驱动运行，并可通过 Postman CLI 在本地、云端或 CI 流水线中执行测试。
Agent Mode、可安装智能体技能的 Postman CLI，以及 Model Context Protocol 服务器，让编程助手能在编辑器内构建集合、编写测试并触发 API 工作流。
可查询的 API、集合与依赖关系结构化地图，让智能体找到正确的服务，并理解架构变更会破坏什么。
免费 / 开源在本地或云端运行和构建开源 AI 模型
专项更强将 API 测试与开发直接集成至代码编辑器中，但缺乏 Postman 专属的工作区集合管理与文档发布功能。
免费 / 开源强大的可视化工作流自动化与 API 集成构建工具，但缺乏 Postman 细致的 API 请求检查与文档功能。
免费 / 开源ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.
免费 / 开源ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.
专项更强Automates end-to-end testing using plain language agents, but lacks Postman's manual debugging and environment variable management tools.
免费 / 开源Open WebUI is an open-source, self-hosted AI interface that lets individuals and organizations run any model — local or cloud — inside a workspace they fully control. It ships as a one-command install, supports Ollama, OpenAI-compatible and Anthropic endpoints, and extends through Python tools, functions and pipelines.
免费 / 开源Open WebUI is an open-source, self-hosted AI interface that lets individuals and organizations run any model — local or cloud — inside a workspace they fully control. It ships as a one-command install, supports Ollama, OpenAI-compatible and Anthropic endpoints, and extends through Python tools, functions and pipelines.
前沿 AI 训练所用的环境，以及负责重复性工作的智能体
SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
