📄 中文摘要
API 访问的费用不仅仅是金钱，还包括数据的泄露。许多开发者未意识到每次 API 调用中泄露的行为信号。AI 提供商能够从 API 流量中推断出用户的多种信息，这不仅是技术推测，更是工程实践。API 请求中包含的内容可以揭示用户的行为模式、偏好和使用习惯，这些信息对 AI 提供商来说极为重要，可能影响用户的隐私和安全。因此，理解 API 调用的潜在泄露风险是每个开发者必须面对的挑战。
AI 提供商如何从您的 API 调用中构建行为档案
出处: How AI Providers Build Behavioral Profiles from Your API Calls
发布: 2026年3月6日
📄 English Summary
How AI Providers Build Behavioral Profiles from Your API Calls
The cost of API access includes not only monetary payment but also the leakage of user data. Many developers are unaware of the behavioral signals that leak through each API call. AI providers can infer various information about users from API traffic, which is not mere speculation but a matter of engineering practice. The content of API requests can reveal users' behavior patterns, preferences, and usage habits, which are crucial for AI providers and may impact user privacy and security. Therefore, understanding the potential risks of data leakage in API calls is a challenge that every developer must confront.