/install 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 \x3Casin> \x3Cprice> [date] # log a price data point
price trend \x3Casin> # analyze price trend direction
price pattern \x3Casin> # detect seasonal and cyclical patterns
price alert set \x3Casin> \x3Ctarget> # set alert for target price threshold
price compare \x3Casin1> \x3Casin2> # compare pricing histories side-by-side
price best-time \x3Casin> # identify best time window to raise/lower price
price volatility \x3Casin> # compute price stability score
price chart \x3Casin> # render text-based price chart
price report \x3Casin> # full pricing analysis report
price save # save all price history to workspace
What Data to Provide
- ASIN + price data — current or historical prices with dates
- Buy Box price — the winning price you see on the listing
- Competitor prices — other sellers on the same listing
- Your cost structure — COGS, FBA fees, target margin
- Seasonal context — any known promotions or peak periods
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):
- Average price this month > last month by >5%
- Signal: possible demand increase, supply constraints, or brand repositioning
- Seller action: monitor for opportunity to raise your price
Downtrend (Price falling):
- Average price this month \x3C last month by >5%
- Signal: increased competition, excess inventory, or market correction
- Seller action: evaluate your cost floor, avoid race-to-bottom
Stable (±5% range):
- Price within 5% of 90-day average
- Signal: mature market equilibrium
- Seller action: compete on other factors (listing quality, reviews, ads)
Volatile (Frequent swings >10%):
- Price swings more than 10% within 30 days
- Signal: heavy promotional activity or multiple sellers competing
- Seller action: dynamic repricing is essential
Price Volatility Score
Volatility = (Max Price - Min Price) / Average Price × 100
Score 0-10: Very stable — predictable market
Score 10-25: Moderate — some promotional activity
Score 25-50: Volatile — heavy competition or frequent sales
Score 50+: Highly volatile — use dynamic repricing or avoid
Seasonal Pattern Detection
Map price history against calendar events:
- Q4 (Oct-Dec): Holiday surge — premium pricing possible
- Prime Day (July): Deep discounts expected, plan inventory
- Back to School (Aug-Sep): Category-specific peaks
- Valentine's/Mother's Day: Gift category spikes
- Post-holiday (Jan-Feb): Price depression, clear inventory
Buy Box Price Analysis
The Buy Box price matters more than list price:
- Track who holds the Buy Box at each snapshot
- Compute your price gap vs. current Buy Box winner
- Identify patterns in Buy Box rotation (if multiple sellers)
Buy Box pricing rules:
- New seller entering: typically prices 5-10% below current winner
- FBA advantage: can price slightly higher than FBM and still win
- Low inventory: Buy Box may shift to higher-priced seller
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:
- Best time to raise price: After a competitor goes out of stock
- Best time to lower price: 2 weeks before Prime Day to boost velocity
- Avoid repricing: During major sale events (prices stabilize after)
- Post-holiday: Expect 15-25% price compression, plan ahead
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 × 0.15
PPC cost: $2.00
Min profit: $2.00
Floor = $8 + $4.50 + (price × 0.15) + $2 + $2 = solve for price
Minimum price = ($16.50) / (1 - 0.15) = $19.41
Workspace
Creates ~/price-tracker/ containing:
history/— price logs per ASIN (ASIN.md files)alerts/— triggered price alertspatterns/— seasonal pattern analysisreports/— full pricing reports
Output Format
Every price analysis outputs:
- Price Timeline Table — chronological price history with key events marked
- Trend Direction — current trend with confidence level
- Volatility Score — 0-100 stability rating with interpretation
- Pattern Summary — detected seasonal or cyclical patterns
- Optimal Price Window — recommended price and timing
- Margin Check — current price vs. your floor, profit per unit
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install amazon-price-history - 安装完成后,直接呼叫该 Skill 的名称或使用
/amazon-price-history触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Amazon Price History 是什么?
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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 182 次。
如何安装 Amazon Price History?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install amazon-price-history」即可一键安装,无需额外配置。
Amazon Price History 是免费的吗?
是的,Amazon Price History 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Amazon Price History 支持哪些平台?
Amazon Price History 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Amazon Price History?
由 mguozhen(@mguozhen)开发并维护,当前版本 v1.0.0。