发表机构
Nexilume Research（奈克西卢姆研究院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究提出TokenBank金融基础设施，通过结构化合约解决AI服务运营中的资金规划、损失赔偿等问题，经多场景实验验证其在成本控制与融资方面的效果。
AI 中文摘要
AI服务在执行过程中会产生推理成本，而收入可能会延迟到账。API价格变动、前期资金有限以及服务故障可能会限制运营者维持或扩展其服务的能力。除了降低单次请求的成本外，运营者还需要规划未来支出、在收入到账前为执行提供资金，并获得特定损失的赔偿。这需要在具有不同定价和执行条件的服务之间达成明确的协议。这些协议必须区分服务消费权利与收款权利，定义成本和收入不确定情况下的义务，并明确哪些故障有资格获得赔偿以及可支付的金额。我们提出了TokenBank，一种通过结构化合约来表示这些承诺的金融基础设施。它支持服务消费权利、以现金结算API价格差异的协议（远期合约）、通过未来服务收入的有限权利进行融资，以及针对特定服务故障的保护索赔。合约明确了参与者、覆盖的服务、有效性、所有权、履行条件和结算规则。评估结合了899441次API请求的重放、基于真实模型的智能体执行以及合约API测试。在零贴现的涨价重采样场景中，远期合约将平均支出减少了304.88美元，但将其标准差从1152.45美元增加到1190.82美元。在每种资金条件下各有5个投资组合的受控复制实验中，在低、基准和充足资金情况下，融资与自付资金之间的平均贡献差异分别为+1.0635、-0.1406和-0.2962实验美元。该评估在声明的经济和故障假设下区分了合约正确性与经济有效性；供应商发票和商业收入不可用。
英文摘要
AI services incur inference costs during execution, while revenue may arrive later. Changing API prices, limited upfront capital, and service failures can limit operators' ability to sustain or expand their services. Beyond reducing per-request costs, operators need to plan future spending, fund execution before revenue arrives, and obtain compensation for specified losses. This requires clear agreements across services with different pricing and execution conditions. These agreements must distinguish rights to consume services from rights to receive payments, define obligations under uncertain costs and income, and specify which failures qualify for compensation and how much can be paid. We present TokenBank, a financial infrastructure that represents these commitments through structured contracts. It supports service-consumption rights, agreements that settle API-price differences in cash (forwards), financing through limited rights to future service revenue, and protection claims for specified service failures. Contracts specify participants, covered services, validity, ownership, fulfillment conditions, and settlement rules. Evaluation combines replay of 899,441 API requests, real model-driven agent execution, and contract API tests. In a zero-discount rising-price resampling scenario, forwards reduce mean expenditure by USD 304.88 but increase its standard deviation from USD 1,152.45 to USD 1,190.82. A controlled replication with five portfolios per capital condition finds mean contribution differences between financing and self-funding of +1.0635, -0.1406, and -0.2962 experimental USD under low, baseline, and ample capital, respectively. The evaluation distinguishes contract correctness from economic effectiveness under declared economic and failure assumptions; supplier invoices and commercial revenue are unavailable.
CommentsThe cloud infrastructure repository is available at https://github.com/Nexilume-AI/nexus-cloud. The hosted deployment can be accessed at https://cloud.nexilume.com/
