amazon-analysisAmazon-domain general analysis and multi-endpoint research engine. Handles broad or composite Amazon research requests that span multiple data dimensions or have no single specialized angle. Use when: - user asks for multi-endpoint Amazon research, composite reports, or general Amazon market/product analysis - user asks "what kind of Amazon analysis can I run" or wants an overview of available Amazon insights - user wants broad Amazon data exploration with no single specific deliverable in mind Uses {skill_base_dir}/scripts/zoodata.py. Requires ZOODATA_API_KEY.
Install via ClawdBot CLI:
clawdbot install apiclaw/amazon-analysisGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://apiclaw.io/en/api-keysAudited Apr 17, 2026 · audit v1.0
Generated Sep 24, 2026
A new or experienced seller can use the skill to identify profitable product opportunities by running modes like beginner, rising-stars, or hot-products, with optional price and sales filters. The analysis provides demand estimates, competition metrics, and viability verdicts to guide sourcing decisions.
Brand managers and sellers can evaluate specific ASINs or competitors by pulling product data, review insights, and pricing trends to benchmark their own listings. This helps in adjusting pricing, improving product quality, and identifying market gaps.
Entrepreneurs considering entering a new Amazon category can use the skill to assess market health through demand, brand concentration, new entrant rate, and FBA rate. The analysis highlights opportunities and risks, supporting data-driven go/no-go decisions.
Sellers looking for underserved niches can leverage modes like underserved, long-tail, and broad-catalog to find products with high demand but low competition. The skill surfaces opportunities ideal for small or new sellers.
Existing Amazon sellers can compare their product's price and rating against category averages to determine premium or value positioning. Combined with BSR trends and review counts, they can optimize pricing and promotional efforts.
Sellers source generic products, brand them, and sell via FBA. They use the skill to identify high-demand, low-competition products, estimate monthly sales and revenue, and assess market viability before investing in inventory.
Sellers buy discounted products from retail stores or online and resell on Amazon. The skill helps spot fast-moving, high-demand items with minimal competition to ensure quick turnover and profitability.
Sellers buy in bulk from brands or distributors and resell on Amazon. The skill assists in category research to find stable, high-volume products and negotiate favorable terms based on demand and competition data.
💬 Integration Tip
Ensure APICLAW_API_KEY is set in the environment or skill config.json; use the provided apiclaw.py script for all API calls, and always lock categoryPath before other queries to avoid distorted data.
Scored Sep 25, 2026
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