Market Radar — Daily Trend Scanner
Scan Amazon category landscapes to discover trending subcategories, emerging niches, and market shifts. Complements Daily Market Radar (defensive monitoring) with offensive trend discovery for product selection and market entry timing. Tracks demand surges, brand consolidation, new entrant waves, price band migration, and margin changes across all subcategories under a parent category. Use when user asks about: market trends, category trends, trending categories, what's hot, emerging categories, trend scanner, category trends, market trends, which categories are growing. Requires APICLAW_API_KEY.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/apiclaw/amazon-market-trend-scannerAPIClaw — Market Trend Scanner
Find rising categories before everyone else. Respond in user's language.
Files
| File | Purpose |
|---|---|
{skill_base_dir}/scripts/apiclaw.py | Execute for all API calls (run --help for params) |
{skill_base_dir}/references/reference.md | Load for exact field names or response structure |
{skill_base_dir}/scan-data/ | Runtime: watchlist.json, baseline.json, alerts.json, history/ (auto-created) |
Credential
Required: APICLAW_API_KEY. Get free key at apiclaw.io/api-keys.
Input
Tell the user: "Give me one or more categories to monitor (e.g. 'Pet Supplies > Dogs'). I'll scan all subcategories and find trending directions. Single or batch supported."
Required: 1+ category paths or keywords. Optional: scan depth, metric preferences.
API Pitfalls (CRITICAL)
- Category first: resolve categoryPath via
categories --keywordbefore anything - All keyword endpoints MUST include
--category; omitting it distorts aggregation - Use API fields directly: revenue=
sampleAvgMonthlyRevenue, sales=monthlySalesFloor - Key metrics per subcategory: sampleAvgMonthlySales, sampleNewSkuRate, topBrandSalesRate, sampleAvgPrice, sampleAPlusRate, totalSkuCount, sampleFbaRate
Mode 1: Full Scan
categories --keyword "{keyword}"→ resolve category pathmarket --category "{path}" --page-size 20→ collect all subcategory market data (paginate)- Record 7 key metrics per subcategory (see Pitfalls #4)
products --keyword "{sub}" --category "{path}" --mode emerging --page-size 20per hot subcategoryproducts --keyword "{sub}" --category "{path}" --mode new-release --page-size 20per hot subcategory- Save baseline →
{skill_base_dir}/scan-data/baseline.json, config →{skill_base_dir}/scan-data/watchlist.json - Output full trend report (see Output Spec)
- Offer Auto-Monitor setup
Mode 2: Quick Check (scheduled)
- Read
{skill_base_dir}/scan-data/watchlist.json+{skill_base_dir}/scan-data/baseline.json market --category "{path}"per watched category- Compare vs baseline using signal rules below
- 🔴 alerts → notify user; else silent log
- Save snapshot to
{skill_base_dir}/scan-data/history/{timestamp}.json, update baseline
Trend Signals
| Signal | Condition | Level |
|---|---|---|
| Demand surge | sampleAvgMonthlySales >20% vs baseline | 🔴 |
| Red ocean warning | topBrandSalesRate >70% AND rising | 🔴 |
| New entrant wave | sampleNewSkuRate up >5 percentage points | 🟡 |
| Brand loosening | topBrandSalesRate down >3 percentage points | 🟡 |
| Price band shift | sampleAvgPrice change >10% | 🟡 |
| Margin change | sampleAPlusRate change >5 percentage points | 🟡 |
| Minor movement | None of the above triggered | 🟢 Silent log |
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-apiclaw-amazon-market-trend-scanner": {
"enabled": true,
"auto_update": true
}
}
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