Base44 记录了 14,039,232 月访问量,月度环比增长为 +0.5%,定价为免费增值,付费,定价请咨询。Monitaur 记录了 4,463 月访问量,增长率为 -41.3%,定价为定价请咨询。
| 维度 / 指标 | ![]() | ![]() |
|---|---|---|
| 官方域名 | base44.com | monitaur.ai |
| 定价模式 | 免费增值,付费,定价请咨询 | 定价请咨询 |
| 月访问量 | 1403.92万 (14,039,232) | 4463 (4,463) |
| 月度环比流量变化 | +7.46万 (+0.5%) | -3139 (-41.3%) |
| 主要市场与份额 | 🇺🇸 美国 (32.1%) | 🇺🇸 美国 (89.7%) |
| 直接访问 / 月 | 781.66万 | 1758 |
| 用户评分 | 4.4 | 4.2 |
| 支持的平台 | 网站 | 网站 |

用一句话描述就能构建可用的应用、网站与 AI 智能体
描述一个想法即可得到已配置数据库、身份验证、支付与托管的应用,无需搭建服务器或基础设施。
生成包含布局、文案与设计的完整网站,并内置 SEO 工具与自定义域名支持,一键即可发布。
创建 7×24 小时运行的 AI 智能体,连接你的工具、执行真实操作、管理数据并自动完成重复工作流。
可连接 Google Calendar、Gmail、Slack、Notion、HubSpot、Salesforce 等,其他服务通过 API 接入。

贯穿模型全生命周期、把政策变为证据的企业级 AI 治理平台
建立自研与第三方 AI 系统的受管清单,让每个模型都有负责人、用途与风险画像。
持续监控模型行为、执行压力测试,在问题变成审计发现之前发现漂移或偏见信号。
一次性把企业 AI 政策与控制项编码化,再统一应用到承保、理赔、风险等各业务条线。
在既有第三方风险管理流程中管理外部 AI 风险,清晰掌握供应商提供的能力及其使用方式。

专项更强An AI-native code editor offering deeper multi-file control, but demands more developer experience than zero-code platforms.

专项更强Transforms spreadsheets into interactive business apps easily, but lacks the raw code generation flexibility of full-stack AI builders.
Turns conversational prompts into published web and mobile apps, but has fewer enterprise-grade scaling templates.

专项更强Generates complete websites quickly from text prompts or screenshots, but lacks advanced dynamic database application features.
专项更强Generates complete websites quickly from text prompts or screenshots, but lacks advanced dynamic database application features.

免费 / 开源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.
免费 / 开源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.