用支付行为构建可信服务排名，防刷单攻击。
Sybil-Resistant Service Discovery for Agent Economies
- 以支付交易为信任凭证，按金额和时间加权传播声誉
- 高信誉用户少但支付多的服务排名高于高流量低信誉者
- 适合需要防伪造、去中心化服务发现的智能体经济场景
x402 允许基于超文本传输协议（HTTP）的服务，如应用编程接口（API）、数据流和推理提供方，接受加密货币支付。随着智能体越来越多地使用这些服务，服务发现变得至关重要：应信任哪个交换接口？哪个数据提供方最可靠？我们提出 TraceRank，一种基于声誉加权的排序算法，将支付交易视为推荐凭证。TraceRank 为地址预设声誉指标，并通过支付流传播声誉，权重依据交易金额和时间新近性。在 x402 的支付图谱上，该方法突出高声誉用户青睐的服务，而非仅看交易量。系统将 TraceRank 与语义搜索结合，可响应自然语言查询并输出高质量结果。我们认为，声誉传播机制能抵御 Sybil 攻击——因大量低信誉支付者发起的垃圾服务，其排名会低于少数高信誉支付者的正规服务。最终目标是构建一种不依赖基础设施偏见、性能优于纯流量或纯语义方法的 x402 服务搜索方式。
原文摘要 · Abstract (English)
x402 enables Hypertext Transfer Protocol (HTTP) services like application programming interfaces (APIs), data feeds, and inference providers to accept cryptocurrency payments for access. As agents increasingly consume these services, discovery becomes critical: which swap interface should an agent trust? Which data provider is the most reliable? We introduce TraceRank, a reputation-weighted ranking algorithm where payment transactions serve as endorsements. TraceRank seeds addresses with precomputed reputation metrics and propagates reputation through payment flows weighted by transaction value and temporal recency. Applied to x402's payment graph, this surfaces services preferred by high-reputation users rather than those with high transaction volume. Our system combines TraceRank with semantic search to respond to natural language queries with high quality results. We argue that reputation propagation resists Sybil attacks by making spam services with many low-reputation payers rank below legitimate services with few high-reputation payers. Ultimately, we aim to construct a search method for x402 enabled services that avoids infrastructure bias and has better performance than purely volume based or semantic methods.
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