Downloadable resources

Free, practical tools for getting ready for agentic commerce. Use them on this page, download the Markdown to keep or adapt, or print the page to PDF. All are offered under a Creative Commons Attribution (CC BY 4.0) license, so reuse them with attribution.

Merchant agent-readiness checklist

A practical checklist to assess whether your business is ready for AI agents to find and buy your products. Work top to bottom; the early items are foundational.

1. Product data

• Every product has complete attributes (title, description, price, currency, availability, images, brand, category, identifiers, variants)
• Your product feed is structured and machine-readable, not just web-page prose
• Feed prices and stock match your live store exactly, to the cent and the unit
• Price and availability sync in near real time, not in slow batches
• You monitor for drift between the feed and the live store

2. Discoverability

• Your products are present on at least one live agent surface your customers use
• You have verified how agents represent and rank your products
• If you sell through a platform, syndication to agent surfaces is enabled and checked

3. Transactability

• Your checkout is reachable via an API that returns structured data, not only rendered web-page elements
• You support, or have a clear path to support, a checkout standard (ACP and/or UCP) for the surfaces you care about
• You have completed an agent-initiated order end to end in a test

4. Payments and verification

• You rely on the networks' agent-verification and scoped-token mechanisms rather than building your own trust layer
• You understand the Shared Payment Token or delegated-payment flow for your processor
• You have read the terms of any agent-payment program you have joined

5. Evidence and monitoring

• You log agent authorization and behavior continuously across the transaction
• You can defend a dispute with a recorded audit trail rather than a reconstruction

6. Governance and risk

• Agentic commerce has a named owner in your organization
• Leadership is briefed on the two contested points: the checkout-standard question and the liability picture
• You handle agent-channel data to the same standard as the rest of your customer data
• You have a deliberate plan to protect your first-party customer relationship

Vendor and platform evaluation scorecard

Questions to ask a platform, processor, or vendor before committing to an agentic commerce integration. Score each from 1 (poor) to 5 (strong), or mark N/A, and add notes. A low score on trust and liability, or on lock-in, deserves extra weight.

Standards and surfaces

• Which checkout standards do you support (ACP, UCP, both)?
• Which agent surfaces does this reach (ChatGPT, Google AI Mode and Gemini, others)?
• Do you support the discovery (MCP) and authorization (AP2) layers, or only checkout?

Data and feed

• How is our product feed ingested, and how is live-store parity maintained?
• How quickly do price and stock changes propagate to agent surfaces?

Payments and economics

• What payment methods and tokens are supported (Shared Payment Token, network tokens, stablecoins)?
• What are the fees, including any per-sale fee on agent-initiated orders?

Trust, fraud, and liability

• How do you verify that an agent is legitimately authorized to act for a customer?
• Who bears liability for an agent-initiated chargeback, and what are the dispute terms?
• What consumer-protection commitments apply?

Independence and lock-in

• Is this built on open standards, or proprietary to one network or platform?
• How portable is our integration if we switch providers?

Support and roadmap

• What is your support model and response commitment?
• What is on your agentic commerce roadmap for the next 6 to 12 months?

Agentic commerce RFP question bank

A buyer-ready question bank for RFPs, procurement reviews, and vendor demos involving agentic commerce platforms. Use these questions to turn broad claims about "AI commerce" into specific evidence.

Scope and supported use cases

• Which agentic commerce use cases do you support today: product discovery, comparison, cart creation, checkout, payment authorization, post-purchase support, or all of these?
• Which parts are generally available, in private beta, or still roadmap?
• Can you show a real end-to-end demo using our category, not only a generic sample catalog?

Standards and interoperability

• Which open standards do you support: ACP, AP2, UCP, MCP, A2A, x402, MPP, or others?
• Where do you use open standards, and where do you use proprietary APIs?
• Can we export our integration, data mappings, and transaction records if we move providers?

Product data and agent discovery

• What product data fields are required, recommended, and optional?
• How quickly do price, availability, promotion, and variant changes reach agent surfaces?
• Which agent surfaces, marketplaces, assistants, or shopping interfaces can discover our products through your integration?
• Can we receive reporting on impressions, recommendations, comparisons, clicks, carts, and completed purchases by agent surface?

Checkout, payment, and disputes

• Does the agent complete checkout through your platform, our checkout, or a third-party checkout surface?
• How is customer authorization captured, scoped, stored, and auditable?
• Who is liable for fraud, agent error, customer dispute, chargeback, or unauthorized purchase claims?
• What evidence is available to defend a dispute?

Commercial terms and lock-in

• What fees apply: setup, monthly platform, per-order, payment, referral, ad, data, or support fees?
• Are fees different by agent surface, protocol, payment method, geography, or category?
• What contract terms limit portability, direct customer relationships, data reuse, or future integrations?
• What happens to our data, listings, and transaction history if we leave?

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