What problem does it solve? Sellers often have selection criteria (low competition, fast growth, price gaps, specific demographics) but no way to find which Amazon niches actually match them. This Skill reverse-searches a pool of historical opportunity-report metrics to return candidate niches and keywords that fit those business filters. ## Core Features & Use Cases - Metric-based reverse filtering: Query a niche-level metrics pool (~37 fields per record) across six dimensions: market size and growth, competition density, price tiers, demographics, product features, and review themes. - Keyword and niche lookup: Trace historical niche snapshots for a specific keyword or normalized niche name, sorted by collection time. - Use Case: A seller wants newcomer-friendly, fast-growing niches. Apply filters like brand count ≤ 20, search volume YoY ≥ 100%, and new-product average reviews ≤ 500 to get a ranked list of matching US Amazon niches with market size, price range, and key tags. ## Quick Start Ask the assistant to find low-competition, high-growth US Amazon niches with fewer than 20 brands and at least 100% year-over-year search growth.