Hexomatic 记录了 26,518 月访问量,月度环比增长为 -24.9%,定价为免费试用,定价请咨询。TypeSafe AI - Jev 记录了 6,148,688 月访问量,增长率为 -36.4%,定价为付费。

TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
| 维度 / 指标 | ![]() | ![]() |
|---|---|---|
| 官方域名 | hexomatic.com | typesafe.ai |
| 定价模式 | 免费试用,定价请咨询 | 付费 |
| 月访问量 | 2.65万 (26,518) | 614.87万 (6,148,688) |
| 月度环比流量变化 | -8770 (-24.9%) | -351.3万 (-36.4%) |
| 主要市场与份额 | 🇺🇸 美国 (17.5%) | 🇺🇸 美国 (26.4%) |
| 直接访问 / 月 | 1.08万 | 314.11万 |
| 用户评分 | 4.3 | 4.2 |
| 支持的平台 | 网站 | 网站 |

云端无代码网页抓取与 AI 工作流自动化
使用针对热门网站的一键抓取器,或自行搭建抓取配方,把商品、内容、媒体与线索提取到表格中。
预置文章摘要、邮箱验证、联系人提取、技术栈识别、SEO meta 标签抓取等动作,可直接拖入工作流。
把抓取配方与自动化动作串联起来,让整个调研、数据丰富或外联流程端到端自动运行。
高级自动化步骤可在 Hexomatic 工作流中直接调用 ChatGPT,对刚采集到的数据进行摘要、分类或改写。

TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
Jev outputs typed decisions that application code can act on directly, rather than prose that must be parsed and interpreted.
Every decision carries an estimate of how confident the model is, so you can set thresholds for autonomous action versus human escalation.
TypeSafe reports Jev at roughly 193x faster and 444x cheaper than LLM-based workflows on comparable System One tasks, with a price of $42 per billion input tokens.
Because confidence estimates expose uncertainty, Jev is designed to avoid hallucination-style failures in automation, enabling zero-hallucination decision paths where confidence is high.

Google 的快速原型开发 IDE 与开发者 API 工作台,用于构建基于 Gemini 模型的多模态应用。

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专项更强无需开发者的无代码连接器,串联应用并自动完成日常工作