Amazon Price History
by @mguozhen
Amazon product price history tracker and drop alert agent. Track price trends over time, identify the best time to buy or sell, analyze competitor pricing pa...
clawhub install amazon-price-historyπ About This Skill
name: amazon-price-history description: "Amazon product price history tracker and drop alert agent. Track price trends over time, identify the best time to buy or sell, analyze competitor pricing patterns, and set smart price alerts. Triggers: amazon price history, price tracker, price drop alert, keepa alternative, amazon price trend, historical pricing, price chart, best time to buy, price monitoring, amazon deal finder, price volatility, buy box price" allowed-tools: Bash metadata: openclaw: homepage: https://github.com/mguozhen/amazon-price-history
Amazon Price History Tracker
Track Amazon product price history, identify pricing patterns, and time your pricing decisions with precision. Alternative to Keepa for sellers who want AI-assisted price analysis.
Paste product data, price snapshots, or competitor pricing. The agent builds price timelines, detects patterns, and recommends optimal pricing windows.
Commands
price add [date] # log a price data point
price trend # analyze price trend direction
price pattern # detect seasonal and cyclical patterns
price alert set # set alert for target price threshold
price compare # compare pricing histories side-by-side
price best-time # identify best time window to raise/lower price
price volatility # compute price stability score
price chart # render text-based price chart
price report # full pricing analysis report
price save # save all price history to workspace
What Data to Provide
Price Analysis Framework
Price Data Points to Track
For each ASIN, capture:
Date | Price | Seller | Buy Box? | Coupon | Sale Event | Notes
2024-01-15 | $29.99 | Brand | Yes | 10% off | None | Normal
2024-01-20 | $24.99 | Brand | Yes | None | Flash sale | -17%
2024-02-01 | $32.99 | Brand | Yes | None | None | Post-sale
Price Trend Classification
Uptrend (Price rising):
Downtrend (Price falling):
Stable (Β±5% range):
Volatile (Frequent swings >10%):
Price Volatility Score
Volatility = (Max Price - Min Price) / Average Price Γ 100Score 0-10: Very stable β predictable market
Score 10-25: Moderate β some promotional activity
Score 25-50: Volatile β heavy competition or frequent sales
Score 50+: Highly volatile β use dynamic repricing or avoid
Seasonal Pattern Detection
Map price history against calendar events:
Buy Box Price Analysis
The Buy Box price matters more than list price:
Buy Box pricing rules:
Price Alert Thresholds
PRICE DROP ALERT: Current price falls >10% below 30-day average
PRICE SPIKE ALERT: Current price rises >20% above 30-day average
BUY BOX LOST: Your price is no longer the Buy Box winner
COMPETITOR ENTRY: New seller appears at significantly lower price
FLOOR ALERT: Price drops below your calculated margin floor
Optimal Repricing Windows
Based on historical patterns:
Margin Floor Calculation
Margin Floor = COGS + FBA Fees + Referral Fee + PPC Cost + Minimum Profit
Example:
COGS: $8.00
FBA fees: $4.50
Referral (15%): price Γ 0.15
PPC cost: $2.00
Min profit: $2.00
Floor = $8 + $4.50 + (price Γ 0.15) + $2 + $2 = solve for price
Minimum price = ($16.50) / (1 - 0.15) = $19.41
Workspace
Creates ~/price-tracker/ containing:
history/ β price logs per ASIN (ASIN.md files)alerts/ β triggered price alertspatterns/ β seasonal pattern analysisreports/ β full pricing reportsOutput Format
Every price analysis outputs: 1. Price Timeline Table β chronological price history with key events marked 2. Trend Direction β current trend with confidence level 3. Volatility Score β 0-100 stability rating with interpretation 4. Pattern Summary β detected seasonal or cyclical patterns 5. Optimal Price Window β recommended price and timing 6. Margin Check β current price vs. your floor, profit per unit