Amazon is hiding your profit in the reports. Seller Labs finds it.
Connect once. Your AI gets everything it needs to run your Amazon business, and you get shown how to use it.
The report Amazon won’t give you
Amazon reports freeze, lag, and contradict each other with no visible error. Point an AI at that raw feed and it inherits every defect, then answers confidently anyway. Even where Amazon’s API returns settlement data, it doesn’t tie that cash back to individual SKU economics. We rebuilt that link from the Finances API.
Seller Labs reconciles, stores history, and resolves discrepancies before your AI ever sees a number.
Amazon provides the feed. Seller Labs provides the confidence.
- Stale
- Missing rows
- Duplicated metrics
- Inconsistent naming
- Reconciled
- Historical
- Normalized
- Profitability-ready
Amazon only stores a limited history.
Seller Labs keeps building your history for up to two years going forward.
Your AI is not reconciling your reports clearly.
| Source | Reports | Reconciled |
|---|---|---|
| Settlement | $14,220.00 | $14,220.00 |
| Business Report | $14,882.40 | $14,220.00 |
Your AI is guessing at your Amazon numbers
- Reports lag, freeze, and drop rows with no visible error
- The same order gets counted twice under two names
- You’re still reconciling reports by hand
Give it reconciled data instead
- Seller Labs cleans and reconciles the data first
- True SKU profit after COGS, fees, ads, and returns
- Approved actions execute without Seller Central
You’re not just buying a connector. You’re buying the data infrastructure behind it.
Why raw Amazon data breaks AIOne question. No report downloads. No spreadsheet.
| SKU | Units | Revenue | True net | Margin |
|---|---|---|---|---|
| NCL-4421-BLK | 1,284 | $38,412 | -$4,106 | -10.7% |
| NCL-2210-2PK | 746 | $21,908 | -$2,733 | -12.5% |
| NCL-8890-LG | 412 | $14,220 | -$918 | -6.5% |
| NCL-1102-SM | 203 | $5,844 | -$377 | -6.5% |
What operating Amazon through AI actually looks like
- Downloading a new Amazon report every time you have a question
- Guessing at SKU profitability from sales numbers alone
- Finding expensive problems after they’ve already cost you money
- Making every change by hand inside Seller Central
- Never download another Amazon report
- Know true SKU profitability, not just sales
- Catch expensive problems before they cost you money
- Execute supported actions without Seller Central
Imagine asking Claude:
Watch how it works
What happens after you connect
No implementation project. No data engineer. No onboarding call required.
How to connect Claude or ChatGPT to your Amazon account
Three steps. No developer portal, no API credentials to manage, no database to stand up.
Create your Seller Labs account
Authorize Seller Labs against Seller Central and Amazon Ads using Amazon’s standard consent flow.
Add the MCP to your AI tool
Paste one connector URL into Claude or ChatGPT. Nothing to install or self-host.
Ask your first question
Start with a starter prompt, or ask what changed in your account since yesterday.
Building this yourself
SP-API and Ads API integration, a warehouse to host it, schema-change maintenance, then the hard part: correctly modeling Amazon profitability across settlements, fee types, and account-level charges that never join to a SKU.
Connecting Seller Labs
The transaction logic, enriched tables, and profitability infrastructure already exist and are already maintained. You are renting years of finished data engineering.
Not sure how to get started with AI once your account is connected?
Seller Labs will guide you.
Get a free inventory and advertising audit.
Seller Labs will review your account and show you what’s actually happening, at no cost.
- Inventory health check: stockout risk, excess stock, and restock timing
- Advertising audit: wasted spend, underfunded winners, and structure issues
- A plain-language summary, not a raw data dump
Five things your AI can run for you
Workflows customers build in their first month.
Daily Amazon Account Brief
PPC Profit Monitor
Continuous Account Audit
Profitability Control Room
Amazon Leakage Monitor
Agency Intelligence Platform
Turn how your best operator thinks into something the system can run
Every account has someone who just knows when a campaign looks wrong or a SKU is quietly bleeding money. Encode how your best operator evaluates campaigns and accounts so the process can be reused, reviewed, and improved instead of trapped in one person’s head, which is exactly what the Agency Intelligence Platform is built to do.
Warnings on the changes that carry the most risk
Every write action is logged before it runs, full stop. On top of that, the highest-risk actions get an extra warning: launching a campaign against low inventory (under 14 days of supply), or setting a budget more than 2x your 30-day average. You also control tool permissions in your AI client, including requiring confirmation on every action if you want it.
Not all “AI-ready” Amazon data is ready, and almost none of it can act.
| Capability | Amazon API or MCP | Thin connector | Build it yourself | Seller Labs |
|---|---|---|---|---|
| Time to connect | Weeks | Days | 4 to 6 weeks | Under 15 min |
| Time to trusted profit data | Weeks | Days to weeks | Months | Days |
| Cross-source reconciliation | No | Rarely | You build it | Yes |
| Unified transaction data | Not in API | No | Not in API | Rebuilt |
| SKU profitability with your COGS | No | Varies | Months of work | Yes |
| Write-back with built-in guardrails | No guardrails | No | You build the guardrails | Yes |
Amazon MCP questions, answered
How do I connect Claude to my Amazon Seller Central account?
Create a Seller Labs account and authorize it against Seller Central and Amazon Ads through Amazon’s standard consent flow, then add the Seller Labs MCP connector to Claude. There is nothing to install, self-host, or configure in a developer portal. Most accounts are connected in under 15 minutes, and historical data is fully imported within about 2 days.
Does Amazon have an official MCP server?
Amazon exposes data through the Selling Partner API and Advertising API. Those give you access to raw responses, not a reconciled dataset. They do not retain history for you, do not compare sources against each other, do not tell you when a feed is stale or partial, and contain no cost or profitability logic. Seller Labs sits on top of those sources and maintains the layer in between.
Can I connect ChatGPT instead of Claude?
Yes. The Seller Labs MCP works with any client that supports the Model Context Protocol, including Claude, Claude Code, and ChatGPT. The same connection serves all of them, so you are not locked to one AI vendor.
Can the AI actually change my campaigns, or is it read-only?
It can change them. Every write action is logged to your audit trail. The highest-risk actions, like launching a campaign against low inventory or setting an unusually large budget, surface a warning first. You also control tool permissions in your AI client, including requiring confirmation on every action.
Why can’t I just point my AI at the Amazon API myself?
You can, and building the connector is the easy part. Correctly modeling Amazon profitability is not. Fees arrive across multiple report types, some charges never join to a SKU, report schemas change without notice, and Amazon’s own sources contradict each other. Teams typically spend four to six weeks getting to a first trustworthy answer, then own the maintenance forever.
What is the unified transaction report, and why does it matter?
It’s the settlement-level view accountants need to reconcile Amazon cash to individual SKUs and fees. Amazon’s API returns settlement data, but it doesn’t tie that cash back to SKU-level economics on its own. Seller Labs rebuilt that link from the Finances API, which is what makes true SKU-level profitability possible for your AI.
How much history do I get?
Data starts accumulating the day you connect, so we can’t pull in history from before setup. From there, Seller Labs keeps building and retaining your history for up to two years, well past Amazon’s own limited report windows.
Ask what is happening. Understand what to do. Make the change.
Connect your Amazon account to the AI tools your team already uses, or is about to start using.