Abstract

AI shopping agents discover products, assemble carts, accept terms, pay and track delivery across marketplaces, merchants, payment providers and carriers. Each step produces a signal that is easy to over-read:

  • a recommendation is not consent;
  • a consent screen may not show the shipping charge or the renewal hidden in a free trial;
  • a valid payment credential is not authority for this product and this seller;
  • a marketplace listing may route money to a different beneficiary;
  • a captured charge is not an accepted order;
  • an accepted order is not the right item delivered;
  • a timeout followed by a retry can charge twice.

This disclosure describes a vendor-neutral, non-actuating method for checking that an autonomous purchase stays consistent from intent to outcome:

  • Mandatory requirements are separated from preferences.
  • Product, variant, quantity, actual seller, merchant of record and payment beneficiary are bound to the approval.
  • The full amount owed is recomputed in integer minor currency units (unit price × quantity + tax + shipping + fees − discounts) and compared with the checkout total, the approved maximum and the remaining shared budget.
  • A purchase is admitted only if the exact pending operation matches the approved checkout revision under current, unrevoked and unused authority.
  • Recurring and trial terms need their own authority.
  • An unknown remote outcome blocks retry until the merchant is proven not to have accepted the order.
  • Payment, order, fulfilment and refund outcomes are kept as separate evidence.

Three verdicts (preflight, outcome and overall) are computed in three-valued logic, so a contradiction prevails over unknowns and an unknown outcome is never reported as success.

The disclosure provides:

  • a 60-stage, six-phase commerce workflow and a separate 52-stage payment-specific workflow, each with flowcharts;
  • 72 plus 64 technical invariants;
  • twelve technical variations;
  • 60 checkpoints;
  • a comparison with agentic checkout protocols, network and wallet tokens, 3-D Secure and strong customer authentication, payment idempotency keys, authorisation and capture separation, spending controls, payee verification and subscription regulation;
  • a non-actuating evaluator in Python, JavaScript and Go with 89 shared synthetic vectors, all passing (about 2.6 to 8.8 microseconds median per in-memory evaluation).

It never orders, pays or handles credentials. The laboratory is synthetic, self-authored and not peer reviewed.

A companion industry-relevance section aligns the method with public roadmaps:

  • Google: Agent Payments Protocol (AP2), now under the FIDO Alliance, and Universal Commerce Protocol (UCP).
  • OpenAI and Stripe: Agentic Commerce Protocol (ACP).
  • Other global players: Visa Intelligent Commerce, Mastercard Agent Pay, PayPal, American Express, Adyen, Amazon, Shopify, Microsoft, Meta, Salesforce and Coinbase x402.
  • Chinese agentic-commerce leaders: Alibaba (Qwen with Taobao and Tmall), Ant Group (Alipay AI Pay, AI Wallet, Token Pay), JD.com, Meituan, ByteDance and Tencent.

Disclaimer: The industry and product-roadmap relevance is an AI-generated alignment based only on public announcements, press coverage and industry reports. It is not an endorsement, partnership, sponsorship, licence, technical validation, compliance assessment or evaluation by any company, payment network, regulator or standards body named. It does not state or imply that any company uses, needs, has assessed or infringes this method or any patent application. All company, product and protocol names are trademarks of their respective owners and are used only to describe technical relevance. Patent pending: Indian Patent Application No. 202631129178 (source disclosure on Zenodo, record 23793543). Related PCT application: PCT/IB2026/055615, filed 4 June 2026 and publicly disclosed 16 July 2026. Readers must read the original disclosures before drawing any conclusion. The inventor is open to strategic collaboration or acquihire discussions.

Keywords

AI safety, agentic commerce, AI shopping agents, autonomous purchasing, purchase intent, payment authorization, capture, merchant of record, payee verification, checkout integrity, hidden fees, subscriptions and free trials, idempotency, duplicate charges, shared budgets, multi-agent spending, fulfilment verification, three-valued logic, AP2, UCP, ACP, FIDO Alliance, Visa Intelligent Commerce, Mastercard Agent Pay, Stripe, Alipay AI Pay, Qwen Taobao, JD.com

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

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