amazon-opportunity-discovererAutomated product opportunity scanner for Amazon sellers. Scans categories using 13 preset selection strategies, validates candidates with real-time data, brand analysis, and price structure, then ranks opportunities by composite score (1-100). Uses all 11 ZooData API endpoints. Use when user asks about: find products to sell, product opportunity, what should I sell, niche discovery, profitable products, selection strategy, product scanner, opportunity scan, winning products, untapped niches, product ideas, market gaps. Pick this to DISCOVER what to sell when the user has no specific target yet (ranked candidate list). To evaluate a niche they already named, use amazon-market-entry-analyzer; to track category trends over time, use amazon-market-trend-scanner. Requires ZOODATA_API_KEY.
Install via ClawdBot CLI:
clawdbot install apiclaw/amazon-opportunity-discovererGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/SerendipityOneInc/APIClaw-SkillsAudited Apr 17, 2026 · audit v1.0
Generated Oct 3, 2026
A new seller with a $2,000–$5,000 budget wants to know which product to launch first. The skill maps their Beginner + Conservative profile to beginner, long-tail, and FBM-friendly scan modes, applies stacked filters like $15–60 price and under 50 reviews, then scores each candidate 1–100 and recommends a sample purchase for S-tier products.
An intermediate seller with aggressive risk tolerance looks for high-demand, low-barrier categories to diversify beyond their current line. The discoverer scans subcategories via market endpoint, ranks them by newSkuRate, brand concentration, and FBA rate, then surfaces speculative opportunities with trend momentum and differentiation scoring.
A brand owner has a keyword idea and needs competitive validation before investing in tooling and inventory. The skill runs the composite opportunity-scan command across emerging and underserved modes, analyzes CR10 concentration, price bands, and review moats, and flags risk alerts such as heavy brand domination or declining BSR trends.
A fulfillment-by-merchant seller wants lightweight, low-price items with manageable competition. Profile mapping selects fbm-friendly and low-price modes, applies custom filters for weight, price, and ratings caps, and outputs a ranked top-10 table with profit margin estimates when COGS is provided.
An agency analyst runs opportunity scans for multiple clients and needs consistent, data-backed deliverables. The skill generates a structured report with scan summary, top-10 opportunities table, category heatmap, risk alerts, data provenance, and confidence labels, making it easy to white-label or adapt per client language and budget.
Seller sources or manufactures a differentiated product, ships inventory to Amazon warehouses, and sells under their own brand. The discoverer identifies niches with low review moats and healthy margins, then scores candidates so sellers can prioritize samples and launch sequencing.
Seller buys existing branded products at wholesale or clearance prices and resells on Amazon. The tool surfaces fast-moving, high-demand subcategories and price bands where arbitrage margins remain viable despite competition.
Consultants or agencies use the skill to produce paid niche opportunity reports for Amazon sellers. Deliverables include scored top-10 lists, category heatmaps, risk alerts, and data provenance tables that justify recommendations.
💬 Integration Tip
Get a free APICLAW_API_KEY from apiclaw.io and always supply a keyword plus category, budget, and experience level; confirm the resolved category when category_source is inferred_from_search to avoid keyword contamination.
Scored Oct 7, 2026
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