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Amazon data Claude can actually reason on

100+ Amazon sources joined into one schema. SKU-level profit, 23 marketplaces, real-time sales data. Claude answers in one query.

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How it works

From fragmented Amazon APIs to Claude, in one flow

Nova absorbs SP-API, Ads, and Reports complexity. Claude reads one clean schema.

Step 1
Amazon

Amazon APIs

Fragmented, schema-shifting

SP-APIrate-limited
Ads APIshifting schemas
Reports APIlags 24 to 48h

We absorb the chaos so Claude does not have to.

Nova
Step 2

One schema, pre-modeled for AI

Sales & Profit

Net Profit at SKU levelOrdersFeesCOGSSettlementsReturns

Advertising & Discoverability

PPC KeywordsSearch TermsSessionsBuy BoxBSR

Catalog & Inventory

FBA InventoryListingsCatalogueSubscribe & Save
700+
metrics
23
marketplaces
SKU
level grain
in real time
orders and units
Step 3
Claude

Claude

Reads Nova in one query. Returns profit, fees, ads, inventory answers in seconds.

Real-time sales

Claude is built for long-context reasoning. Give it raw SP-API and it spends that context retrying broken calls. Give it Nova and it spends that context naming the 5 SKUs killing your margin and proposing a fix.

What Claude answers once it reads Nova

Real prompts from real seller teams. Real answers in seconds.

Which 10 SKUs lost the most contribution margin in the last 30 days, and why?

Claude

Ranked list with margin delta, fee breakdown, refund rate and ad waste per ASIN. Root cause cited per row.

Reads from: Orders ร— Fees ร— Ads ร— Refunds

Why did TACoS jump in Germany last week?

Claude

Cross-references ad spend, organic share and refund-driven sales drops by marketplace. Names the 3 campaigns and 5 ASINs responsible.

Reads from: Ads ร— Sales ร— Search Terms

Draft a weekly P&L summary with the 5 biggest swings across marketplaces.

Claude

Written brief backed by actual rows: revenue, ad spend, fees, refunds, net profit, with top movers cited.

Reads from: Settlements ร— Ads ร— Returns

Which SKUs are at risk of stockout in the next 21 days?

Claude

Joins FBA inventory, inbound, velocity and lead time. Returns ASIN, days of cover, recommended PO quantity.

Reads from: FBA Inventory ร— Orders

Show every SKU where Amazon fees grew faster than revenue this quarter.

Claude

Per-SKU fee delta vs revenue delta, sorted. Highlights which fee type (FBA, referral, storage) is driving the spread.

Reads from: Fees ร— Orders

Want more than five? The prompt library has 32, grouped by profit, PPC, keywords, inventory and listings. They run the same in Claude.

Why Claude on Nova beats Claude on raw SP-API

Same prompt. Nova returns an answer. Raw plumbing returns an error and a token bill.

01

100+ Amazon sources, pre-modeled

Orders, ads, fees, settlements, inventory, organic. Joined, deduped, ready for one query.

02

SKU-level profit, to the cent

200+ fee types reconciled per SKU. Net margin, not gross sales dressed up as margin.

03

Real-time sales, always fresh

Orders and units reach Nova within seconds of the sale, with sales estimated until Amazon confirms the exact amounts. Ad spend refreshes every two hours, search term data three times a day, Amazon finance transactions hourly, and the remaining reports daily.

04

23 marketplaces, one model

Consolidated or per-marketplace, same schema. No per-region rebuild.

Live in 24 hours, not 24 weeks

Three steps from Amazon to Claude.

Step 01

Connect Amazon

Auth your Seller Central and Ads accounts in Nova. 23 marketplaces supported.

Step 02

Point Claude at Nova

Drop the Nova endpoint into Claude's context. No schema authoring on your side.

Step 03

Ask anything

Claude reads SKU profit, ads, inventory and answers from one joined model.

Feed your Amazon data to Claude

Live in 24 hours. Profit-accurate. 23 marketplaces.

Try for Free