arXiv：cs.AI· Adrian de Valois-Franklin, Alex Bogdan, Anas Ibrahim, Ibrahim Shaer, Tamaz Andguladze·· 16 小时前
商家侧智能体商务就绪度基准：Get In, Decide, Prove
Get In, Decide, Prove: A Merchant-Side Readiness Benchmark for Agentic Commerce
AI 导读
论文提出商家侧智能体商务就绪度基准，围绕"进得来、能决策、可举证"三项考察网站。在 4 家大商户的完整评估中，3 家在报价页拒绝了声明式 AI 智能体，且无一能确认满足购买委托，因总价或退款条款不确定。对 555 个站点的访问普查发现，105 个站点（18.9%）首页对两类声明式配置均不可读。
正文
Abstract:AI agents now browse and buy on people's behalf, and benchmarks measure how well the agents perform. Far less is known about the other side of the transaction: whether a merchant's website lets an agent in, publishes terms precise enough to decide a purchase, and leaves evidence of what was agreed. This paper presents a merchant-side benchmark built on those three questions and reports a pilot of it. The central measurement, decision sufficiency, rates each criterion of a concrete buyer mandate (total cost, cancellation or return terms, service date, variant identity) as determinate, indeterminate, or unknown from the merchant's own published evidence. Readiness scores carry their evidence coverage and missingness bounds; access is reported separately for a declared bot, a declared headless browser, and a user-present browser; and each observed term is mapped to the RAILS admissibility class of the evidence that could support it in a dispute. Four large merchants received the full assessment: three refused the declared profiles at their offer pages, and no mandate could be confirmed as met, because each merchant left a total or a refund term undetermined. An access census of 555 sites of merchants that two payment processors publicly name as clients found the home page unreadable to both declared profiles at 105 sites (18.9%). A declared assessment of 330 merchants, scored by deterministic rules without a rater, found that evidence coverage rather than the score decides who can be ranked: 115 merchants (35%) reached the ranking threshold, rankable profiles scored a median of 89 to 90, and material terms was the one pillar well below the others, because the all-in total was decidable at 18 merchants. The pilot shows that the measurements can be taken; it does not validate them or rank merchants, and the weights and the projected clearing band await validation against outcomes.
| Comments: | 23 pages, 7 figures, 10 tables. Companion dataset: this https URL |
| Subjects: | Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Human-Computer Interaction (cs.HC) |
| Cite as: | arXiv:2610.17378 [cs.AI] |
| (or arXiv:2610.17378v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.17378 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Alex Bogdan [view email]
[v1]
Mon, 12 Oct 2026 20:35:54 UTC (309 KB)
来源：arXiv：cs.AI · arxiv.org