Beyond the Basics

Amazon BSA Agent Policy for Sellers

Amazon's Business Solutions Agreement (BSA) now includes an Agent Policy that governs how automated tools and AI agents may interact with Amazon's systems — and its terms apply to sellers, not just the vendors who build the tools. As the use of AI in selling workflows grows, understanding this policy matters for any seller who relies on third-party automation.

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Key Takeaways

What the BSA Agent Policy Covers

Amazon's Business Solutions Agreement is the contract all Amazon sellers accept as a condition of selling on the marketplace. It's always covered general seller conduct, listing policies, and the obligations of third-party solution providers. In 2026, Amazon announced an Agent Policy addition that specifically addresses the growing category of automated tools and AI agents operating on behalf of sellers.

Based on what sellers and solution providers who have reviewed the policy have reported publicly, the Agent Policy addresses three main areas:

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Identification

Automated agents must identify themselves as automated when interacting with Amazon's systems. Automated behavior presented as human activity is not compliant under the reported terms.

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Comply & stop on request

Automated agents must comply with Amazon's instructions and cease acting when directed to. The policy establishes Amazon's authority to govern how agents behave within its systems.

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Data use restrictions

As reported, the policy restricts using Amazon data to develop or train AI models, and prohibits reverse-engineering Amazon's systems or algorithms.

Summary of reported requirements — not a substitute for reading Amazon's actual agreement text. Details should be verified against current BSA terms.

One aspect worth understanding: the BSA operates on an acceptance-by-use basis. Continued selling on Amazon constitutes acceptance, meaning sellers cannot opt out of the policy while remaining active on the platform. This makes awareness of what the policy covers practically important for anyone with an active tool stack.

It also means that sellers bear responsibility for the compliance posture of the tools they use. If a third-party tool is operating in ways the policy governs, the exposure runs to the seller's account, not just to the tool vendor.

Why the Data-Access Path Matters

The most practical distinction the Agent Policy introduces for sellers is between tools that access Amazon data through authorized channels and tools that don't. Understanding that distinction helps you assess your own tool stack without needing to read legal text.

General framing — not legal advice. Specific tool compliance depends on how that tool operates; evaluate with the tool's documentation and, if needed, legal counsel.

The practical point isn't that every scraping-based tool results in enforcement action — it's that tools operating outside authorized channels carry a structural risk that official-API tools don't. Amazon has the infrastructure to change page structure, add bot detection, or block unauthorized access at any time. A tool built on scraping can break without notice and without recourse. A tool built on the SP-API is using a developer interface Amazon maintains and supports.

As AI agents become more capable and more integrated into seller workflows, the question of how those agents access Amazon's systems becomes more consequential. A tool that could read a few pages a day for keyword data is different in risk profile from an AI agent that reads listings, initiates price changes, and updates content at scale. The BSA Agent Policy reflects Amazon's move to govern this category explicitly — and is part of the broader shift toward agentic commerce on Amazon, where AI acts increasingly on behalf of both buyers and sellers.

Keoxs's Compliance Posture

Keoxs was built with compliance in mind from the start — not as a constraint imposed later, but as a design choice. The tools sellers choose are becoming a compliance consideration, and we think that makes the posture a tool is built on a legitimate part of what sellers should evaluate.

Official SP-API only — no web scraping All product data Keoxs reads is retrieved through Amazon backend attributes via the Selling Partner API (SP-API), the official developer interface Amazon has built and authorized for third-party tools. Keoxs does not scrape Amazon web pages, simulate browser sessions, or access product data through unauthorized channels.
Licensed third-party data — not derived from Amazon systems When Keoxs uses market intelligence data (search volumes, competitive context), it is sourced from Jungle Scout under a formal licensing agreement. This data is a third-party commercial product, not derived from Amazon's own systems or accessed without authorization.
No AI training on Amazon data Keoxs does not use Amazon product data retrieved through the SP-API to develop or train AI models. Product data is used to generate listing optimizations for the specific seller account it was retrieved for.
Human review in the loop — Keoxs does not write to Amazon on your behalf Optimized listing content generated by Keoxs is returned to the seller for their review. Sellers submit content through their own Seller Central accounts. Keoxs does not push changes to Amazon listings without explicit seller action. This reflects Engagement 1 of Keoxs's compliance design: human oversight before publication.
Compliance Pre-Check — flags risky content before you publish Keoxs's Compliance Pre-Check scans generated listing content for language patterns that carry compliance risk: health claims and disease verbs in regulated categories, prohibited terms, and content that may conflict with Amazon's listing guidelines. It flags issues before you publish, not after.

Sellers should always verify compliance independently. Keoxs's posture reflects our design intent and current implementation — but it is not a legal guarantee of compliance, and the BSA terms that apply to your account are between you and Amazon. Review any tool you use, including Keoxs, against your own understanding of your obligations under the BSA. Once you're confident your tool stack is on solid ground, the productive focus shifts to what the policy can't touch: the quality of your content. The guide on listing optimization for Alexa for Shopping covers the content levers that matter most for AI recommendation eligibility.

Publish With Confidence

One of the practical outputs of the BSA's content requirements is that what goes into your listing matters beyond optimization. Content that makes health claims without proper substantiation, uses disease verbs in regulated categories, or includes terms Amazon prohibits in listing copy is a compliance risk — separate from the Agent Policy question entirely, but equally material to your account standing.

Keoxs's Compliance Pre-Check addresses this directly. Before you publish AI-generated or manually written listing content, run it through Compliance Pre-Check. It scans for the language patterns that carry the highest risk in regulated and unregulated categories: disease verbs, health claims that require substantiation, comparative claims without grounding, and other patterns Amazon's listing guidelines and Keoxs's Guardian review layer have been calibrated to flag.

The tool is self-service. You don't need a compliance team or a specialist review — you run your content through the check, see what's flagged and why, and revise before going live. For sellers managing multiple ASINs or generating content at scale, it's the layer between "optimized" and "safe to publish."

Flag risky content before it goes live — Compliance Pre-Check + a free AI-Native Score audit on your first ASIN.

Run Compliance Pre-Check →
About Alexa for Shopping and BSA compliance — what Keoxs does and doesn't claim

Keoxs optimizes listing content for Alexa for Shopping (formerly Rufus) — Amazon's AI-native shopping assistant — using a framework based on Amazon's published COSMO and SPN research, adapted by Keoxs. This is a content optimization approach: Keoxs helps you make your listing more machine-readable for the AI. It does not involve accessing Alexa for Shopping's internal systems, simulating its behavior for research purposes, or making API calls to Amazon's recommendation engine. All optimization is content-side, operating through the authorized SP-API and content generation layer. Keoxs's AI-Native Score is a Keoxs-developed methodology, not an official Amazon metric.

What Keoxs's compliance posture is — and isn't

Describing Keoxs's design choices (SP-API only, no scraping, licensed data, human review in the loop) is a factual description of how the product is built. It is not a legal certification, an Amazon endorsement, or a guarantee that Keoxs's operation is compliant with every term of the BSA as it may be amended in the future. Amazon's terms evolve; Keoxs monitors announced changes and updates its approach when they affect our operation. Sellers are responsible for their own BSA compliance. If you have questions about whether specific tools or workflows are compliant with your obligations, consult qualified legal counsel.

Frequently Asked Questions

What is the Amazon BSA Agent Policy?

The Amazon BSA (Business Solutions Agreement) is the contractual framework governing sellers, solution providers, and developers on Amazon's marketplace. The Agent Policy is an addition to the BSA that specifically addresses automated tools and AI agents operating within the Amazon ecosystem. As reported by sellers and solution providers who have reviewed the terms, the policy requires automated agents to identify themselves as automated, to comply with Amazon's instructions, and to respect restrictions on how Amazon data can be used — including prohibitions on using that data to train AI models or reverse-engineer Amazon's systems. The policy applies to sellers, meaning sellers take on compliance responsibility for the tools they use on their behalf. This guide is general information, not legal advice — consult your legal counsel for advice specific to your situation.

Does the Amazon Agent Policy affect the tools I'm already using?

It may, depending on how those tools access Amazon's systems. The key question to ask about any tool you use: does it access Amazon data through Amazon's official Selling Partner API (SP-API), or does it access Amazon data through other means such as web scraping or session automation? Tools in the first category are operating through the path Amazon has explicitly authorized for third-party developers. Tools in the second category may be operating in ways the BSA Agent Policy addresses directly. To understand a specific tool's exposure, review its documentation for how it accesses Amazon's systems. Keoxs does not evaluate the compliance posture of other providers. If you have concerns about specific tools, consult the tool provider directly or seek legal advice.

Are scraping-based Amazon tools risky under the BSA Agent Policy?

Based on what has been reported about the BSA Agent Policy, tools that access Amazon data through web scraping or session automation are operating outside the path Amazon has designated for compliant third-party tools. This creates at least two kinds of risk: technical risk (Amazon can change page structure, add detection, or block access at any time — breaking the tool without notice or recourse) and compliance risk (the BSA applies to sellers, so seller accounts associated with non-compliant tools may have exposure). The degree of risk in any specific case is something we can't assess here — this is not legal advice. What's clear is that tools built on Amazon's official SP-API are in a structurally different category: they use an interface Amazon built and supports for exactly this purpose, and they operate under the authorized developer relationship Amazon has established.

Is Keoxs compliant with the Amazon BSA Agent Policy?

Keoxs is built on Amazon's official SP-API — the developer interface Amazon has authorized for third-party tools to access product catalog data on behalf of sellers. Keoxs does not scrape Amazon web pages, simulate browser sessions, or access Amazon data through unauthorized channels. When Keoxs uses market intelligence data, it is sourced from Jungle Scout under a formal licensing agreement, not derived from Amazon's systems. Keoxs does not use Amazon data to train AI models. Optimized listing content is returned to sellers for their own review and submission — Keoxs does not push changes to Amazon listings without explicit seller action. This reflects Keoxs's design intent; sellers should verify compliance independently and are responsible for their own BSA obligations. Keoxs's compliance posture reflects current implementation and may need to be updated as Amazon's terms evolve.

Do I have to accept the BSA Agent Policy to keep selling on Amazon?

As reported by sellers who have reviewed the BSA terms, the agreement operates on an acceptance-by-use basis: continued use of Amazon's marketplace constitutes acceptance of the agreement and its terms, including the Agent Policy addition. This is a standard approach for platform agreements. It means there is no opt-out option while remaining an active Amazon seller — the policy's requirements apply regardless of whether you have individually read or acknowledged the specific terms. This is general information, not legal advice. For questions about how the BSA Agent Policy applies to your specific business, tool stack, or situation, consult a legal professional familiar with Amazon seller agreements and your jurisdiction.

Start With a Clean, Compliant Foundation

Run a free AI-Native Score audit on your first ASIN — built on official SP-API data, no scraping. See where your listing stands and flag risky content with Compliance Pre-Check before you publish.

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