ecommerce.amazon-market-research
Installation
SKILL.md
SellerSprite Market Research
This skill helps screen and rank Amazon category markets using SellerSprite market-research data.
Core Concepts
- Category market-level analysis: Not a product-level list, but market profiles aggregated by category/node.
- Market size: Monthly average sales volume, monthly average revenue, product count, etc.
- Competition structure: Seller/brand concentration, top concentration, Amazon self-operated share, FBA/FBM share.
- Input scale: Filter parameters GoodsCrn / BrandCrn / SellerCrn / EbcProportion / FbaProportion / FbmProportion / AmazonSelfProportion (
min*/max*) must be 0~1 decimal values, see the parameter table below andreferences/api.md. - New product opportunities: New product count, new product share, new product average price/rating/sales, etc.
How to Invoke
- API Endpoint:
POST /sellersprite/market/research(complete params/response/error codes inreferences/api.md) - Python Script:
python scripts/amazon_market_research.py '<JSON params>' [--inline] - Cost constraint: This tool consumes credits; the same session and parameter combination is called only once by default, with a 24h local cache in the script. On failure or empty results, do not automatically retry with different keywords, pagination, or postal codes; inform the user about additional consumption before continuing to search.