Sorftime Product detail

基于Sorftime数据按ASIN查询亚马逊产品详情与历史趋势，涵盖14个站点。当用户提到Sorftime产品详情、ASIN详情查询、销量走势、价格曲线、价格历史、BSR排名历史、BSR趋势、利润分析、FBA费用分析、毛利率、产品趋势分析、日销量月销量、销售额趋势、Deal促销历史、product detail,...

This skill guides you on how to query Amazon product detail and historical trend data by ASIN via Sorftime, helping Amazon sellers analyze product performance, pricing strategy, and competitive positioning.

Core Concepts

Sorftime Product Detail provides comprehensive product-level data by ASIN, with historical trend data going back to 2021. It covers sales volume & revenue trends, price & promotion tracking, multi-level BSR ranking history, and real-time profit analysis with FBA fee breakdown.

Key differentiator: This tool returns trend/time-series data for individual products. If you need to search/filter products across a category, brand, or seller, use the Sorftime Product Search skill instead.

Data Fields

Field	API Name	Description	Example
Product Title	title	Product listing title	Anker Portable Charger...
Brand	brand	Brand name	Anker
ASIN	asin	Amazon Standard Identification Number	B0088PUEPK
Parent ASIN	parentAsin	Parent ASIN if has variations, null otherwise	B0088PUEPK
Category	category	Main category [name, NodeId]	["Cell Phones", "2811119011"]
Sub-category Rankings	bsrCategory	Sub-category rank list with nodeId, name, rank, date	[{nodeId, name, rank, date}]
Listing Date	availableDate	Listing date (yyyy-MM-dd)	2022-03-15
Days Online	onlineDays	Days since listing	850
Sale Price	price	Sale price after Coupon, local currency (e.g., USD)	25.99
Coupon	coupon	>0 = discount amount (500=$5); <0 = percentage (-10=10% off)	-15
Platform Fee	platformFee	Platform commission, local currency	3.90
FBA Fees	fbaFees	FBA fulfillment fee, local currency	5.40
FBA Detail	fbaDetail	FBA breakdown: [delivery fee, month:storage fee, ...]	[475, "1-9:5", "10-12:15"]
Profit	profitAmount	Sale price - FBA - commission, local currency	16.69
Profit Rate	profitRate	Profit margin, e.g., 25.83 = 25.83%	25.83
BSR Rank	salesRank	Best Seller Rank in main category	1523
BSR Trend	rankTrend	Main category rank history, interleaved [date, rank, ...]	[20250101, 1523, ...]
Sub-BSR Trend	bsrRankTrend	Sub-category rank history per node	[{NodeId, Rank: [...]}]
Rating	rating	Current rating (0.0-5.0)	4.70
Rating Count	ratings	Number of ratings	12580
Star Distribution	fiveStarRatings / fourStar... / oneStar...	Star percentage, e.g., 57.7 = 57.7%	57.7
Daily Sales Trend	listingSalesVolumeOfDailyTrend	Interleaved [date, volume, ...]; -1 = cannot estimate	[20250101, 150, ...]
Monthly Sales Trend	listingSalesVolumeOfMonthTrend	Interleaved [date, volume, ...]; -1 = cannot estimate	[20250101, 4500, ...]
Daily Revenue Trend	listingSalesOfDailyTrend	Interleaved [date, revenue, ...]; unit = cents; -1 = N/A	[20250101, 38985, ...]
Monthly Revenue Trend	listingSalesOfMonthTrend	Interleaved [date, revenue, ...]; unit = cents; -1 = N/A	[20250101, 1169550, ...]
Price Trend	priceTrend	Sale price history; unit = cents; -1 = no price that day	[20250101, 2599, ...]
List Price Trend	listPriceTrend	Strikethrough price history; unit = cents; -1 = N/A	[20250101, 3999, ...]
Buybox Seller	buyboxSeller	Buybox winning seller name	AnkerDirect
Seller Country	buyboxSellerAddress	Seller country code (CN, US, etc.); null if Amazon-operated	CN
FBA Status	isFBA	Whether Buybox seller uses FBA	true
Seller Count	sellerNum	Number of sellers on this listing	3
A+ Content	aPlus	Has A+ content	true
Video	hasVideo	Has video on listing	true
Brand Store	hasBrandStore	Has brand storefront	true
Weight	weight	Weight in grams	350
Size	size	Dimensions in cm [longest, 2nd, shortest]	[18.5, 8.2, 3.1]

Supported Marketplaces

US (United States), GB (United Kingdom), DE (Germany), FR (France), IN (India), CA (Canada), JP (Japan), ES (Spain), IT (Italy), MX (Mexico), AE (United Arab Emirates), AU (Australia), BR (Brazil), SA (Saudi Arabia)

Default marketplace is US. Use us when the user doesn't specify a marketplace.

Note: Sorftime uses lowercase codes (e.g., us, gb, de), and UK is coded as gb (not uk).

API Usage

This tool calls the LinkFox tool gateway API. See references/api.md for calling conventions, request parameters, and response structure. You can also execute scripts/sorftime_product_detail.py directly to run queries.

How to Build Queries

The key parameters are asin and marketplace (both required), plus optional trend date range controls.

Principles for Building Queries

1. Always specify the marketplace: Use lowercase site codes, e.g., us, de, jp
2. Choose trend inclusion carefully: Default includes trends (last 15 days). Set includeTrend: 2 if only basic product info is needed — this saves cost and speeds up response
3. Specify date range for historical analysis: Use queryTrendStartDate and queryTrendEndDate (yyyy-MM-dd) when users need trends beyond the default 15 days. Be aware this costs double
4. Batch ASINs when comparing: Up to 10 ASINs can be queried at once, comma-separated — use this for competitive comparison rather than calling one at a time

Query Examples for Common Scenarios

1. Quick product check (default 15-day trend)

asin: B00FLYWNYQ, marketplace: us

2. Long-range trend analysis (specify dates)

asin: B00FLYWNYQ, marketplace: us
queryTrendStartDate: 2025-01-01, queryTrendEndDate: 2025-03-31

3. Batch ASIN comparison

asin: B0088PUEPK,B00U26V4VQ,B0CVM8TXHP, marketplace: us

4. Product info only, no trends

asin: B0088PUEPK, marketplace: us, includeTrend: 2

5. BSR ranking history (German market)

asin: B00FLYWNYQ, marketplace: de
queryTrendStartDate: 2024-06-01, queryTrendEndDate: 2025-01-01

Trend Data Interpretation

Trend arrays use an interleaved format: even indices are dates, odd indices are values.

[20250101, 150, 20250102, 180, 20250103, 165, ...]
 ^date     ^val ^date     ^val ^date     ^val

• Sales volume/revenue trends: value of -1 means "cannot estimate" (e.g., category changed to Amazon Renewed)
• Price trends: units are in local currency smallest unit (cents for USD); -1 means no available price that day
• BSR rank trends: for bsrRankTrend, format is [{NodeId: xxx, Rank: [date, rank, ...]}] per sub-category

Display Rules

1. Present data only: Show query results in clear tables without subjective business advice
2. Ranking clarification: When showing ranking data, remind users that lower values mean better rankings
3. Price unit awareness: Trend data uses smallest currency unit (cents for USD). Convert to standard currency when displaying to users
4. Sales estimation caveat: Values of -1 in sales/revenue fields mean "cannot estimate" — explain this to the user rather than showing -1 directly
5. Trend visualization: When showing trend data, present key data points in a readable table rather than dumping raw arrays
6. Error handling: When a query fails, explain the reason based on the msg field and suggest adjusting query criteria

Important Limitations

• Max 10 ASINs per query
• Trend cost: Default returns last 15 days; querying > 15 days costs double
• Non-structured data: Results do not support secondary analysis via _dataQuery_executeDynamicQuery
• Sales estimation: Products in non-standard categories (e.g., Amazon Renewed) may return -1 for sales fields

User Expression & Scenario Quick Reference

Applicable - Product detail and trend queries by ASIN:

User Says	Scenario
"查一下这个ASIN的销量走势"	Sales trend
"这个产品最近价格变化如何"	Price history
"帮我看看这个产品的利润空间"	Profit analysis
"这个ASIN的BSR排名趋势"	Ranking history
"对比一下这几个ASIN的数据"	Multi-ASIN comparison
"这个产品的FBA费用是多少"	FBA fee breakdown
"产品上架多久了，评分怎么样"	Basic product info

Not applicable - Needs beyond single-product detail:

• Searching/filtering products across a category or brand (use Sorftime Product Search)
• ABA search term ranking data (use ABA Data Explorer)
• Advertising / PPC strategy
• Product reviews content analysis
• Patent or trademark checks

Boundary judgment: When users say "product analysis" or "competitor comparison", if it boils down to checking specific ASINs' detail data and trend curves, then this skill applies. If they're asking to discover or filter products across a market, it does not apply.

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

1. The functionality or purpose described in this skill does not match actual behavior
2. The skill's results do not match the user's intent
3. The user expresses dissatisfaction or praise about this skill
4. Anything you believe could be improved

Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.

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