Prices, sellers and reviews across marketplaces, in one place
What your products and your competitors' sell for, who sells them, what is new in the category and what buyers complain about. Your agent reads it from marketplaces across the US, Europe and Asia at the moment you ask — as structured rows, not screenshots.
What you ask, and what comes back
“What do these five SKUs sell for right now across the major US and EU marketplaces, and who holds the lowest offer?”
Current prices per marketplace with the seller behind the lowest offer.
| Product | Lowest price | Where | Seller |
|---|---|---|---|
| Aero kettle 1.7L | $54.99 | US marketplace | HomeGoods Direct |
| Aero kettle 1.7L | €49.90 | EU marketplace | Küchenwelt |
| Pro grinder | $89.00 | US retailer | Sold by retailer |
| Pro grinder | €84.50 | EU marketplace | BaristaShop |
Illustrative output — company and contact names are fictional.
Scrapers that break, prices you saw last week
Marketplace data is public and hard to collect: every marketplace is different, and they change often.
Each marketplace has its own layout, pagination and anti-bot measures. Your team maintains a scraper for each, and one of them is always broken.
Search, product, offer, seller and review lookups work the same way across the marketplaces in the catalog. Keeping them working is our job.
Someone opens a dozen product pages every Monday and pastes prices into a sheet — by Wednesday they've moved.
Your agent pulls current prices and offers at request time, on whatever schedule you set.
The answer to why returns are up is in the reviews, but nobody has time to read five hundred of them.
The agent pulls reviews as structured records and groups them into complaints and praise you can act on.
Start in three steps
Add NeuralVerge to Claude, ChatGPT, Cursor or any MCP client, or call the REST endpoints from your own pricing tools.
Give the agent your SKUs, competitors' products or a category, and the marketplaces you care about.
Get prices, offers, sellers and reviews as structured records — in a sheet, a dashboard or your own database.
Claude Code and Claude Desktop: run this once. It registers NeuralVerge as an HTTP MCP server, and its tools appear in your next conversation. Replace YOUR_ACCESS_TOKEN with your NeuralVerge token.
claude mcp add --transport http neuralverge \ https://api.neuralverge.ai/functions/v1/mcp-server \ --header "Authorization: Bearer YOUR_ACCESS_TOKEN"
Prices and reviews on a schedule
Standing checks, scheduled in your agent or your own code. Each run pulls fresh data from NeuralVerge.
React to price moves the same day.
- Price and lowest-offer check on key SKUsSheet
- New sellers on your listingsSlack
See where the category is heading.
- Top products in your categoriesSheet
- Review themes for your productsDoc
Plan assortment on current data.
- Competitor assortment and price bandsSheet
Schedules run in your agent or your own code. NeuralVerge answers the lookups; it does not run or send anything on its own.
The sources this runs on
Products, prices, offers, sellers, categories and reviews from marketplaces in the US, Europe and Asia.
See the sourcesCompany profiles and business reviews for the brands and sellers you meet.
See the sourcesOfficial records for checking the companies behind seller accounts.
See the sourcesLaunches and funding for direct-to-consumer brands entering your category.
See the sourcesCommon questions
Major general marketplaces and retailers in the US, Europe and Asia, plus classifieds and resale platforms. The data sources page lists every marketplace and the lookups available for each.
Know the shelf before you set the price
Prices, sellers, assortment and reviews across marketplaces — on one API key.