Temporal knowledge-graph data marketplaces face three coupled failures in static designs: stale hybrid index shortcuts reduce recall as edges evolve, stationary Shapley pricing misattributes value after distribution shifts, and uncoordinated agents over-consume a shared differential-privacy budget. We present CHRONOS, a three-layer architecture providing a unified treatment of these challenges with explicit public and private separation. Layer one applies neural-ODE temporal decay to shortcut edges, providing a per-query expected recall-loss bound of Big-O of Pq lambda delta t, with a monotone-envelope guarantee reducing bound looseness to 1.8 to 3.2 times observed loss. Layer two conditions Shapley valuation on detected changepoints and provides finite-sample error guarantees under noise. Layer three uses EXP3-IX to achieve Big-O of the square root of T log T regret while enforcing epsilon and delta differential privacy via moments accounting. CHRONOS releases a privatized affinity matrix per epoch using the Gaussian mechanism; all retrieval and ranking are post-processing, incurring no extra privacy cost. We provide multi-epoch settlement, scalability analysis for 500 sellers, and comparisons against accelerated baselines. Across four benchmarks, CHRONOS shows 0.937 recall at ten, 2.74 queries per second, 161 ms latency, and total epsilon of 4.25 at delta of 10 to the power of negative 6 under zCDP composition. These results indicate a competitive operating point. A limitation is that at this privacy level, released valuations remain noise-dominated; utility derives primarily from public index routing and adaptive scheduling driven by low-sensitivity statistics.

翻译：时序知识图谱数据市场在静态设计中面临三重耦合失效：陈旧混合索引捷径导致边演化时召回率下降，平稳夏普利定价在分布偏移后价值归属失准，以及非协调智能体过度消耗共享差分隐私预算。本文提出CHRONOS三层架构，通过显式公私分离机制统一处理上述挑战。第一层采用神经ODE时序衰减作用于捷径边，提供单次查询期望召回损失界Big-O(Pqλδt)，并通过单调包络保证将界限松弛度降至观测损失的1.8至3.2倍。第二层将夏普利估值条件化于检测到的变化点，并在噪声下提供有限样本误差保证。第三层采用EXP3-IX算法实现Big-O(√(T log T))的遗憾界，通过矩会计师法强制执行ε-δ差分隐私。CHRONOS每轮次通过高斯机制发布私有化亲和矩阵；所有检索与排序均为后处理操作，不产生额外隐私成本。本文提供多轮次结算机制、500个卖家的可扩展性分析，以及与加速基线的对比结果。在四个基准测试中，CHRONOS在top-10召回率达0.937，每秒查询2.74次，延迟161毫秒，在zCDP组合下的总ε为4.25（δ=10⁻⁶）。这些结果表明其具有竞争力的运行性能。局限性在于：当前隐私水平下，发布估值仍受噪声主导；效用主要来源于由低敏感度统计驱动的公开索引路由与自适应调度机制。