KEYXE Data Foundation

Reliable Insights Start with Clear Data.

Seller and advertising data differ in meaning, timing and the way results are attributed. KEYXE is being designed to preserve those differences instead of collapsing them into misleading totals.

Illustration of source systems feeding validated, normalized tables that feed analytics views.
Design architecture — not a claim that live ingestion is active.

Five concepts

What “clear data” means in practice

KEYXE is designed for two Amazon sources with different purposes: the Selling Partner API for seller operations and the Amazon Ads API for advertising. Each record keeps a reference to its source, report and connection, so any figure can be traced back. In the public demo the source is a seeded synthetic generator, and every export says so.

Three layers

From raw report to business view

Expand a layer to see example fields. Field names are illustrative design examples.

01

Raw Source

Reports and records as an Amazon service returns them, kept intact for traceability.

02

Normalized Model

Consistent names, types, currencies and dates across marketplaces and report versions.

03

Business View

Question-ready summaries with documented formulas and explicit unknowns.

This diagram describes the intended architecture. It is not a claim that live ingestion from Amazon is active. Currency, marketplace and report availability differ by account and are respected per source.

Check the definitions yourself.

Every KPI in the demo has an “Explain metric” control with its formula and a sample calculation.