neonjelly

Price intelligence

Price intelligence your agent runs for you

Most price intelligence tools are dashboards. This one is a set of MCP tools: your agent asks for markdowns, hikes, and competitor price moves across 1.37M stores and gets rows back — in the chat where you already work.

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?

Classic price intelligence software is a dashboard you log into. Neonjelly is a set of tools your agent calls mid-conversation. You ask a question in Cursor or Claude; the agent picks price_watch or change_tracker and answers with the rows. No portal, no CSV export.

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. price_watch takes a store domain or a product type, a since date, and a minimum change percent (default 10%). Point it at one rival or a whole vertical.

Install

Every button starts the same free trial and connects your AI in one step.

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