neonjelly

Price intelligence

Who cut prices, and by how much

Ask in Cursor or Claude. Across 1.37M Shopify stores you get the old price, the new price, and the date — in the same chat. No price dashboard to log into.

What is price intelligence?

Knowing what your competitors charge, when they change it, and what happened after. Not a quarterly spreadsheet — a feed. A useful price intelligence solution answers questions like “who in my vertical cut prices more than 10% this week?” and “did that markdown push the SKU into bestsellers?” without you opening a single storefront.

We track daily snapshots of 1.37M Shopify stores and 369M SKUs. A price change is a diff between snapshots: old price, new price, percent, date. That’s the whole trick — done at catalog scale, every day.

22.2%

median markdown depth right now

33%

of markdowns are 30% or deeper

100

most recent cuts in the sample

Source: EcomScout catalog, pulled 2026-09-04. From the live change feed — the niche-level view is in our 2026 niches study.

A live row, not a promise

This is an actual change row from the catalog, pulled 2026-09-03. Small markdown, real store, dated. Every answer your agent gives is built from rows like this one.

{
  "storeDomain": "42lolita.com",
  "handle": "kawaii-lolita-bear-and-star-printed-dress",
  "title": "Sleepy Bear - Kawaii Lolita Bear and Star Printed Dress",
  "vendor": "Infanta",
  "changeDate": "2026-09-03",
  "changeType": "price_decrease",
  "priceOld": 66.99,
  "priceNew": 65.99,
  "priceChangePct": -1.49,
  "currency": "USD"
}

The four tools that do the work

price_watch

Markdowns and hikes. Default threshold 10% so noise stays out.

storeDomain, productType, since, minPriceChangePct

change_tracker

Every change type on one store: prices, new SKUs, removals, bestseller moves.

domain, since, limit

winning_skus

Bestsellers, ≥10% markdowns, and new products for a vertical or a store.

storeVertical or storeDomain, since

product_intel

One SKU memo: price vs compare-at, price history, the store around it.

domain + handle, or q

All arguments and response shapes are in the tools reference. Try a call without installing anything in the playground.

Prefer a price monitoring API?

The same data is a GET away — no MCP required. One header, one URL, JSON back:

curl -H "Authorization: Bearer nj_YOUR_KEY" \
  "https://mcp.neonjelly.io/v1/products/changes?changeType=price_decrease&minPriceChangePct=10&since=2026-08-27"

Details in the catalog API docs. A blank key in the playground mints a trial.

Questions we actually get

What is price intelligence?

Knowing what competitors charge, when they change it, and what that did to their catalog — continuously, not as a one-off spreadsheet. In practice: markdowns, hikes, compare-at gaps, and which SKUs entered or left bestsellers after a price move.

How is this different from price intelligence software like Prisync?

Those tools are dashboards you log into. Here you ask in Cursor or Claude and get the old price, the new price, and the date in the same chat. No portal, no CSV.

Where does the price data come from?

Daily catalog snapshots of Shopify storefronts — 1.37M stores, 369M SKUs. A change row is a diff between snapshots: old price, new price, percent, date. We label everything so your agent can quote it honestly.

Can I watch just my niche?

Yes. Name a store or a product type, a start date, and how big a move you care about (default 10%). One rival or a whole vertical.

Install

Every button starts the same free trial, looks up your store, then connects your AI.

14-day trial on install, 100 calls/day, no account. If you run agents on store data more broadly, start with AI agents for ecommerce.

Indexed byEcomScout