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Connect ChatGPT to your Amazon Seller Central data

Add one connector in ChatGPT and it reads 500+ documented Amazon data points through 14 tools. SKU profit, ads, inventory, across 21 marketplaces.

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How it works

From fragmented Amazon APIs to ChatGPT, in one flow

Nova absorbs SP-API, Ads, and Reports complexity. ChatGPT 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 ChatGPT 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
200+
metrics
21
marketplaces
SKU
level grain
Hourly
refresh
Step 3
ChatGPT

ChatGPT

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

Live, hourly refresh

ChatGPT connectors let the assistant call live systems instead of reading pasted exports. Amazon publishes no Seller Central connector, so the practical route is an MCP server built on the Selling Partner API. Nova is that server: 14 tools over a reconciled model of your seller account, added to ChatGPT once and available in every conversation after that.

What ChatGPT 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?

ChatGPT

Ranked list with margin delta, fee breakdown, refund rate and ad waste per ASIN. One query against the joined Nova model.

Reads from: Orders × Fees × Ads × Refunds

Why did my profit drop in the UK last week?

ChatGPT

Cross-references revenue, ad spend, refunds, FX and fee changes by marketplace. Surfaces the actual cause, not the symptom.

Reads from: Settlements × Ads × Returns

Build a weekly P&L digest with the 5 biggest swings.

ChatGPT

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

Reads from: Orders × Settlements × Ads

Which SKUs will stock out in 21 days at current velocity?

ChatGPT

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

Reads from: FBA Inventory × Orders

Find SKUs where ad spend is up 30% but units are flat or down.

ChatGPT

Per-SKU ad-spend delta vs unit delta, sorted by waste. Names the campaigns and search terms driving the spend.

Reads from: Ads × Search Terms × Orders

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

Why ChatGPT on Nova beats ChatGPT 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

Hourly refresh, always fresh

Most competitors deliver every 24 hours. Nova is at most an hour behind reality.

04

21 marketplaces, one model

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

See the full head-to-head with raw MCP

Live in 24 hours, not 24 weeks

Three steps from Amazon to ChatGPT.

Step 01

Connect Amazon

Auth your Seller Central and Ads accounts in Nova. 21 marketplaces supported.

Step 02

Point ChatGPT at Nova

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

Step 03

Ask anything

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

Also available for

ClaudeGeminiNova MCP server32 prompts to run firstData Warehouses pillar

Questions about Amazon data for ChatGPT

Everything teams ask before plugging Nova into their AI stack

Authorise Seller Central and Amazon Ads in Nova, then add the Nova MCP endpoint as a connector in ChatGPT. From then on ChatGPT can call the 14 read-only tools in any conversation. There is no official Amazon connector for Seller Central, so an MCP server over the Selling Partner API is the route.
No. Nova is a remote MCP server, so any MCP-capable client works: ChatGPT connectors, custom GPTs, your own agent, or another assistant entirely. Nova does not lock you into one surface.
Orders and transactions refresh hourly, Sponsored Products three times a day, FBA stock and inbound every eight hours, sales and traffic daily, and search query performance on Amazon's own cadence.
Yes. Nova reconciles 370 Amazon transaction lines into 154 P&L lines per SKU: Amazon fees, FBA fees, ad spend, refunds, COGS, VAT. ChatGPT answers in actual margin, not gross sales.
Yes. All 14 tools read. Nova does not write to campaigns or budgets, and it does not cover Vendor Central. ChatGPT cannot push a change to Seller Central or your ad account through Nova.
All 21 Amazon marketplaces Nova supports. ChatGPT answers consolidated or per-marketplace questions out of the same model.
Connect your Amazon accounts in Nova, point your ChatGPT client at the Nova endpoint, start asking questions. Most teams are live in under 24 hours.
A raw wrapper makes the assistant discover, join and reconcile the data inside the prompt, and it never returns profit. Nova ships 281 metric keys and 500+ documented data points already modelled, so one call returns the answer.

Feed your Amazon data to ChatGPT

Live in 24 hours. Profit-accurate. 21 marketplaces.

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