Amazon Niche Market Analyzer

Problem

Early Amazon sourcing often stalls on deep category trees and unstable niche filter parameters. Manually walking categories like Home & Kitchen is slow, while scraping product pages can blur category intelligence with single-ASIN data. This skill wraps Pangolinfo’s category and niche queries as MCP tools, making it suitable for deciding which subcategory deserves deeper product analysis.

Core capabilities

• Category tree drill-down: get_category_children returns browseNodeId, browseNodeName, sellable, and hasChild for narrowing scope layer by layer.
• Category search: search_categories accepts Chinese or English category names, then feeds results into drill-down or path resolution.
• Metric filtering: filter_categories filters categories by sales, GMV, search volume, price tier, and trend direction; filter_niches narrows opportunities using searchVolumeT90Min, top5ProductsClickShareT360Max, and returnRateT360Max.
• Path enrichment: get_category_paths converts IDs into readable breadcrumbs for reporting context.

Boundaries

The default marketplace is US; marketplaceId should use ISO site codes such as "US", not merchant IDs. filter_categories and filter_niches cap size/page at 10, and niche queries consume more credits, so confirm budget before calling. It does not scrape specific products, reviews, bestseller lists, or write listings; use dedicated scraper, explorer, or listing-optimization skills for those tasks.