AMAZON ADVERTISING INTELLIGENCE · POWERED BY MCP

Know what drives your Amazon ad performance.

Go deeper than campaign totals. KEYXE combines Amazon Ads API with SP-API sales, fees and inventory context. Analyze performance in the web workspace or Claude, then turn findings into scoped advertising and seller actions.

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KEYXE / Advertising intelligencePRODUCT WORKFLOW

Where should I focus my advertising review?

Ads API Campaigns & search terms+SP-API Sales, fees & inventory

Your analysis, with context

Advertising efficiencyACoS · ROAS · CPC

Retail contextSales · Fees · Stock

Evidence to inspectSource · Period · Formula

Ask → Analyze → Inspect → Decide

Amazon Ads APIAdvertising performance
Amazon SP-APIRetail context
MCP analysis toolsStructured questions & evidence

ANALYSIS THAT SUPPORTS YOUR NEXT DECISION

Go from scattered reports to focused questions.

One analytical workflow, from advertising detail to the commerce context behind it.

Campaigns · ACoS · ROAS

Understand where your spend goes.

Compare campaign efficiency, spend concentration and changes over time. Read ACoS and ROAS alongside the reporting window that produced them.

Explore the analysis

Keywords · Targets · Search terms

Find the search terms worth reviewing.

Move from campaign totals to keywords and product targets. Separate converting queries from spend without attributed orders before choosing the next step.

Explore the analysis

Placements · Budget pacing

Put placements and budgets in context.

Review placement performance and budget pacing by advertising profile and marketplace. Prioritize the questions that need your attention.

Explore the analysis

Sales · Fees · Inventory

Bring the business behind the ads into view.

Use authorized SP-API sales, fees and inventory as retail context. Keep seller sales separate from ad-attributed sales and make cost assumptions visible.

Explore the analysis

The KEYXE intelligence workspace

Your Amazon questions. Answered with evidence.

Try an advertising review with sample data. Choose a question, change the reporting scope and inspect the calculation behind the answer.

25 analytical tools8 what-if scenariosEvidence and formulasNo login required

Product preview · Fictional sample data runs in your browser. Request KEYXE access to use your own account.

KEYXE / Intelligence ChatSAMPLE DATA

US · 30d · All SKUs

MarketplacePeriodSample SKUWhat-if scenario

Where is advertising spend concentrated?

✳

KEYXE MCP ads_campaign_analyze✓

Synthetic · read-only · US · 2026-09-01 – 2026-09-30

Sample result: Spend — USD 40,259.81. Attributed sales: USD 119,987.5.

▦ Campaign performanceSYNTHETIC

SpendUSD 40,259.81

Attributed salesUSD 119,987.5

ACoS33.55%ad spend / attributed sales

campaign	format	spend	attributed sales
Demo SP · Office · Automatic targeting · 13	SP	4133.95	8957.03
Demo SP · Home Storage · Exact keywords · 32	SP	2893.41	7817.09
Demo SP · Fitness · Phrase keywords · 10	SP	2553.25	6285.09
Demo SP · Home Storage · Product targets · 01	SP	2483.04	5555.5

ⓘ Attributed ad sales and seller ordered sales have different grains and cannot be added together.

Evidence, formulas and sample row IDs

Source: sample_ads_campaign_daily
Marketplace: US · USD
Period: 2026-09-01 – 2026-09-30
Data as of: 2026-10-01T00:00:00Z
Grain: campaign × date
Sample row IDs: A-CMP-US-001-2026-09-01, A-CMP-US-001-2026-09-02, A-CMP-US-002-2026-09-01, A-CMP-US-002-2026-09-02, A-CMP-US-003-2026-09-01, A-CMP-US-003-2026-09-02, A-CMP-US-004-2026-09-01, A-CMP-US-004-2026-09-02, A-CMP-US-005-2026-09-01, A-CMP-US-005-2026-09-02

Preview · no account changes

Context at execution: US · 30d

Read-only sample analysisOpen full Intelligence Studio ↗

Fictional sample data · session history stays in this tab · data as of 2026-10-01.

HOW IT WORKS

Making your Amazon AI-ready.

From structured data to clear insights and tools your team can explore.

Explore with synthetic data. Live connections require separate account authorization.

SAMPLE DATASeller · Ads · Inventory

SalesAdsStockCostsProductsSearch

K↗KEYXE

MCP toolsReportsDashboardsJSON

/01 CONNECT

Give your tools structured Amazon context.

Explore seller, advertising and inventory data through clear schemas. Keep sources, periods and permissions visible from the start.

Explore data tools

ANALYZE & REVIEWAnalysis preview

“Find what needs attention.”KEYXE MCP

Compare sales and trafficSample tool
Inspect advertising spendSample tool
Identify inventory risksSample tool
Review the next stepReview

Inspect evidence before deciding what to do.

/02 ANALYZE

Analyze the evidence. Act with context.

Connect the question to its source data, then review the next action. KEYXE MCP supports campaign changes, listing updates and seller operations within your account permissions.

Explore KEYXE in Claude

BUILD YOUR WORKSPACESynthetic preview

“Show me an inventory dashboard.”

KEYXE / InventorySAMPLE

Available units: 26,154
Median cover · days: 35.3
SKUs at ≤14 days: 3

Available units · first 12 sample SKUs

US · 2026-09-30 · Review low-cover SKUs

Inspect the sample numbers

KPIs cover all 24 sample SKUs. Cover = available units ÷ average daily sales over 30 days. No reorder is placed.

SKU	Units	Cover · days
KX-DEMO-0001	1410	37.7
KX-DEMO-0002	823	15.6
KX-DEMO-0003	1365	102.1
KX-DEMO-0004	2449	72.6
KX-DEMO-0005	667	34.6
KX-DEMO-0006	0	0.0
KX-DEMO-0007	2011	64.2
KX-DEMO-0008	444	35.1
KX-DEMO-0009	510	58.4
KX-DEMO-0010	1112	58.4
KX-DEMO-0011	1476	30.4
KX-DEMO-0012	1848	51.0

/03 BUILD

Shape the tools around your workflow.

Explore dashboards and structured outputs for your own tools. Start with the inventory preview and inspect the same sample data behind this preview.

Open the inventory workspace

OUR COMMITMENT

Built for People. Open for Progress.

Better decisions begin with understanding. We make learning accessible and build a path to sharing useful developer resources.

Illustration of people learning to interpret charts together.

01 / LEARN · UNDERSTAND · DECIDE

For Humanity

Technology that empowers people.

Understand your data, make informed choices and keep control of AI-assisted work. Start with free learning resources, practical tools and responsible AI principles.

Free calculators · AvailableExplore For Humanity

Learning, privacy and human control

Learn what a metric can and cannot tell you. Review the evidence and retain the final decision when AI suggests a next step.

Read our responsible AI principles ↗

Illustration of modular code packages and documented interfaces.

02 / LEARN · BUILD · CONTRIBUTE

Open Source

Share knowledge. Build responsibly.

A roadmap for selected developer tools, transparent formulas and synthetic examples. Explore the documentation today and follow each module’s progress toward a reviewed release.

Selected modules · In developmentExplore Open Source

What we plan to share

Selected schemas, formula helpers and safe examples follow a release review. Customer records, account credentials and commercial infrastructure remain protected.

Inspect the roadmap and module status ↗

Choose your next step.

Learn · Try Tools · Build · Contribute

Understand the numbers before the next decision.

Read practical guides to ACoS, ROAS and attribution. Use the glossary to understand the language behind your reports.

Explore the Learning Center ↗Look up a term ↗

Public guides. No account required.

Try a calculation. See how it works.

Enter your own numbers in the ads metrics calculator, or explore break-even ACoS. The formulas and assumptions stay visible; calculations run in your browser.

Open the free calculators ↗Read the ACoS formula ↗

Practice example: spend 25 ÷ attributed sales 100 × 100 = 25% ACoS.

Start with a documented interface.

Inspect tool inputs, result envelopes and synthetic examples. Explore selected modules and their release status before choosing what to build.

Explore MCP documentation ↗View the release roadmap ↗

Selected code modules are not yet publicly released.

Help shape what comes next.

Suggest a guide, a clearer formula explanation or a useful developer example. Read the contribution approach and tell us which resource would help your work.

See how to contribute ↗Share a resource idea ↗

Start with a specific idea and its intended use.

BUILT AROUND YOUR AMAZON BUSINESS

KEYXE for sellers, brands and agencies.

Make account reviews easier to understand, discuss and follow through.

Sellers

Understand campaign performance against the products you sell. Review spend alongside stock availability and the costs that shape your margin.

See the workflow ↗

Brands

Build a consistent way to discuss product and campaign performance. Keep marketplace, currency and attribution definitions clear across your team.

See the workflow ↗

Agencies

Turn account reviews into clear, evidence-based conversations. Scope each analysis to the authorized advertising profile and prepare a briefing clients can follow.

See the workflow ↗

DATA YOU CAN INTERPRET

Keep the source. Keep the context.

KEYXE has developer access to SP-API and Ads API. Each customer connection still depends on the account owner’s authorization and the permissions granted for that account.

Amazon integrations ↗Security & permissions ↗

Independent account authorizations
Seller access and advertising access have separate scopes.
Metric definitions that travel with the result
Marketplace, currency, date range and attribution matter.
Analysis before action
Review findings and assumptions before changing an advertising strategy.

FAQ

Before you get started.

Clear answers about the product, the data and how to work with KEYXE.

Visit support ↗

What is KEYXE?

KEYXE is a web-based MCP tool for in-depth Amazon advertising analysis. It brings Ads API reporting and authorized SP-API retail context into a workflow for asking questions, inspecting metrics and reviewing evidence.

Why use both Amazon APIs?

Ads API describes advertising performance; SP-API provides seller operations context. They require independent account authorizations. Seller ordered sales and advertising attributed sales have different definitions and are never added together.

What does MCP add to the analysis?

MCP provides a structured interface for analytical tools: defined inputs, scoped queries and results with context. The value is the analysis and the evidence behind it, rather than a chat interface alone.

Does the website preview use my account?

The public interactive preview uses fictional sample data and runs in your browser. For your own account, open the KEYXE application and follow its account authorization process.

How do I discuss pricing or a partnership?

Contact KEYXE with your marketplaces, advertising profiles and analysis needs. Commercial scope and terms are agreed directly. Investor and partnership inquiries use the same contact channel.

YOUR NEXT ACCOUNT REVIEW STARTS HERE

Bring clarity to your Amazon advertising.

Request access or talk with us about your analysis needs, onboarding or a partnership.

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