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Amazon Competitor Intelligence Monitor

Deep competitor intelligence for Amazon sellers with continuous monitoring. Two modes: Full Scan (complete analysis, 28-35 credits) and Quick Check (lightweight monitoring, 5-10 credits). Full Scan: 11 endpoints, competitor matrix, brand ranking, pricing, reviews, battle strategy. Quick Check: realtime/product polling, baseline diff, tiered alerts. Use when user asks about: competitor analysis, competitive landscape, competitor tracking, competitor monitoring, competitive intelligence, competitor comparison, benchmark, track competitor, spy on competitors, competitor analysis, competitor monitoring, competitor tracking. Requires APICLAW_API_KEY.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/apiclaw/amazon-competitor-intelligence-monitor
Or

APIClaw — Competitor Intelligence Monitor

Know your enemy. Two modes: Full Scan + Quick Check. Respond in user's language.

Files

FilePurpose
{skill_base_dir}/scripts/apiclaw.pyExecute for all API calls (run --help for params)
{skill_base_dir}/references/reference.mdLoad for exact field names or response structure
{skill_base_dir}/monitor-data/Runtime storage (auto-created): config.json, baseline.json, history/, alerts.json

Credential

Required: APICLAW_API_KEY. Get free key at apiclaw.io/api-keys.

Input

Required: keyword or ASIN(s). Optional: my_asin, competitor_asins, brand. If only ASIN given → derive keyword via product --asin then ask user to confirm. Brand queries MUST also include confirmed --category.

API Pitfalls (CRITICAL)

  1. Category auto-detection: categoryPath is auto-detected from keyword, ASIN, or top search result. If category_source in output is inferred_from_search, MUST confirm with user before trusting results
  2. All keyword-based endpoints MUST include --category; ASIN-specific endpoints do NOT need it
  3. Brand + category: a brand sells across categories — only analyze within locked subcategory
  4. Use API fields directly: revenue=sampleAvgMonthlyRevenue (NEVER price×sales), sales=monthlySalesFloor, concentration=sampleTop10BrandSalesRate
  5. reviews/analysis: needs 50+ reviews; fallback to ratingBreakdown from realtime/product

Mode Selection

  • Full Scan (~28-35 credits): First run, no baseline.json, explicit request, or weekly refresh
  • Quick Check (~5-10 credits): Cron trigger, baseline exists, "check competitors"

Full Scan Flow

  1. competitor-analysis --keyword X [--category Y] [--my-asin Z] (composite, auto-detects category)
  2. If category_source is inferred_from_search, confirm with user before presenting results
  3. Analyze & score → save baseline to {skill_base_dir}/monitor-data/ → offer Auto-Monitor

Quick Check Flow

  1. Load config.json + baseline.json from {skill_base_dir}/monitor-data/ (missing → fall back to Full Scan)
  2. Poll product --asin {asin} for each tracked ASIN
  3. Diff against baseline with tiered alerts → update baseline → offer Auto-Monitor

Alert Tiers

🔴 Critical🟡 Watch🟢 Opportunity
Price change > thresholdFBA↔FBM switchCompetitor stock-out
BSR crash > thresholdRating changeBullet/image changes
Buy Box owner changedAbnormal review growthVariant added/removed
Title modified

Competitive Score (per competitor, 1-100)

Metadata

Author@apiclaw
Stars4473
Views1
Updated2026-05-01
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-apiclaw-amazon-competitor-intelligence-monitor": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.

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