你应该支付给那个 AI 代理吗?在三行代码中添加信任检查

📄 中文摘要

在 x402 交易中,1500 万笔交易和 280 万个代理中,80% 的代理未能证明其身份。当一个代理向另一个代理付款时,缺乏身份验证和信誉检查,导致用户在支付时面临盲目性。为了解决这一问题,@agentscore-xyz/trust-check 被开发出来,以便在支付前进行信任检查。该工具能够回答代理的可靠性、身份真实性和是否有可疑行为的标记等关键问题,从而提升交易的安全性和透明度。

📄 English Summary

Should You Pay That AI Agent? Add a Trust Check in 3 Lines

In the context of x402 transactions, with 15 million transactions and 2.8 million agents, 80% of agents fail to verify their identities. When one agent pays another, there is no identity verification or reputation check, leading to blind payments. To address this issue, @agentscore-xyz/trust-check has been developed to perform trust checks before payments. This tool aims to answer critical questions regarding the reliability of agents, the authenticity of their identities, and whether they have been flagged for suspicious behavior, thereby enhancing the security and transparency of transactions.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等