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A seller of a dynamic information service under an information-throughput constraint screens buyers who privately differ in urgency. We characterize the revenue-optimal mechanism: deploy a single preference-aligned belief process; screen buyers with a menu of stopping-time caps. The result rationalizes tokenized GenAI pricing, from consumer subscription tiers to B2B API service tiers. Extensions to heterogeneous valuations and endogenous reasoning quality preserve the qualitative conclusions.

生成讲解博客的中文版本

生成AI智能校验的中文版本