Dynamic Pricing Intelligence Agent
Data-driven pricing strategy engine for Amazon sellers. Give me your ASIN(s) — I auto-detect the leaf category, analyze pricing landscape, and deliver RAISE/HOLD/LOWER signals with profit simulation. Supports single ASIN or batch (multiple ASINs, auto-grouped by category). Uses APIClaw API endpoints with cross-validation. Use when user asks about: pricing strategy, how much to price, optimal price, price optimization, competitor pricing, price war, BuyBox strategy, profit margin, pricing analysis, should I raise price, should I lower price, price comparison, price positioning, repricing, pricing strategy, should I raise or lower price. Requires APICLAW_API_KEY.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/apiclaw/amazon-pricing-command-centerDynamic Pricing Intelligence Agent — RAISE / HOLD / LOWER
Give me your ASIN(s). I'll tell you whether to raise, hold, or lower — with data.
Files
- Script:
{skill_base_dir}/scripts/apiclaw.py— run--helpfor params - Reference:
{skill_base_dir}/references/reference.md(field names & response structure)
Credential
Required: APICLAW_API_KEY. Get free key at apiclaw.io/api-keys
Input
- Required: one or more ASINs (your products). No keyword needed — category is auto-detected.
- Optional: competitor_asins
On first interaction, tell user: "Give me your ASIN(s). I support single or batch analysis — I'll auto-detect each product's category and analyze the pricing landscape for you."
Auto Category Detection (CRITICAL — replaces manual keyword input)
- For each ASIN:
product --asin {asin}→ extractbestsellersRankarray - The last entry in
bestsellersRank= leaf (most specific) category - Use leaf category name →
categories --keyword "{leaf_category_name}"→ getcategoryPath - If categories returns empty, try the second-to-last BSR entry, or ask user
- Batch mode: group ASINs by leaf category → share market data within same category (saves credits)
API Pitfalls
- Revenue =
sampleAvgMonthlyRevenuedirectly. NEVER calculate price×sales. - Sales =
monthlySalesFloor(lower bound) - Price in realtime:
buyboxWinner.price, NOT top-levelprice - All keyword-based endpoints MUST include
--categoryonce categoryPath is locked - FBA fees from products/search are estimates — verify with Amazon FBA calculator
- Aggregation endpoints without categoryPath produce severely distorted data
Pricing Signal Logic
| Signal | Condition |
|---|---|
| RAISE | Price below opportunity band AND rating ≥ category avg AND BSR stable/rising |
| HOLD | Price in optimal band AND BSR stable AND no competitor price war |
| LOWER | Price above hottest band AND BSR declining OR competitor undercut detected |
New Seller Price Band Selection
Don't pick highest-sales band. Calculate per band: Sales/Competition Ratio = Avg Monthly Sales ÷ Avg Review Count Highest ratio = best entry point (strong demand + low review barriers).
Profit Simulation
3 scenarios: Conservative (current price), Moderate (±$1-2), Aggressive (±$3-5). Per scenario: Revenue = Price × Est. Sales − FBA Fee − Referral Fee (15%) − COGS = Net Profit & Margin.
Profit Margin Interpretation
| Net Margin | Signal | Interpretation |
|---|---|---|
| >30% | 🟢 Healthy | Strong margin, room for ad spend and promotions 📊 |
| 15-30% | 🟡 Acceptable | Viable but monitor costs closely 🔍 |
| 5-15% | 🟠 Thin | One price war or cost increase away from loss 🔍 |
| <5% | 🔴 Unsustainable | Must raise price, cut costs, or exit 💡 |
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-apiclaw-amazon-pricing-command-center": {
"enabled": true,
"auto_update": true
}
}
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