Amazon Sorftime Market Research

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Automates Amazon product category research and market analysis using the Sorftime MCP API to identify profitable opportunities.

This skill transforms Claude into a professional Amazon selection specialist by automating deep-dive market research across global Amazon marketplaces. By leveraging the Sorftime data ecosystem, it applies a proprietary five-dimension scoring model—evaluating market size, growth potential, competition intensity, entry barriers, and profit margins—to generate comprehensive analytical reports. It provides users with actionable insights through professional Markdown summaries, interactive HTML dashboards, and Excel exports, making it an essential tool for e-commerce sellers looking to validate niches or discover new product categories with data-backed confidence.

主要功能

0132 GitHub stars
02Real-time data retrieval for top product listings via Sorftime MCP API
03Automated 5D scoring model for market opportunity evaluation
04Historical trend analysis covering 25 months of sales, pricing, and rating data
05Advanced competitive analysis including HHI brand concentration and seller origin
06Multi-format report generation including Markdown, Excel, and HTML Dashboards

使用场景

01Identifying low-competition categories with high growth potential across global Amazon sites
02Analyzing competitor brand dominance and pricing strategies within specific product NodeIDs
03Validating a new product niche before committing capital for FBA inventory