Sorftime Product Search

This skill guides you on how to search and filter Amazon products via Sorftime across multiple dimensions, helping Amazon sellers discover products, analyze competitors, and explore market opportunities.

Core Concepts

Sorftime Product Search supports multi-dimensional product retrieval with 16 query types, single or multi-condition AND combinations, and historical monthly snapshot lookback from January 2024. Data covers pricing, BSR rankings, monthly sales, FBA fees, and profit analysis.

Key differentiator: This tool is for searching and filtering across products. If you need detailed trend data (sales/price/BSR history) for a specific ASIN, use the Sorftime Product Detail skill instead.

Data Fields

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_search.py directly to run queries.

How to Build Queries

The key parameters are marketplace (required), queryMode, queryType, and queryValue. The query system has two modes and 16 filter types that can be combined flexibly.

Principles for Building Queries

1. Always specify the marketplace: Use lowercase site codes, e.g., us, de, jp
2. Choose the right query mode: Use queryMode=1 for a single filter; use queryMode=2 to combine multiple filters with AND logic
3. Match queryType with queryValue format: Each queryType expects a specific format — see the table below. Mismatched formats will cause errors
4. Mind price units: Price filters (queryType=8) use smallest currency unit (cents for USD), so $19.99 = 1999
5. Use open ranges when appropriate: Omit one end for open range — ,1000 means "up to 1000"; 100, means "100 or more"
6. Use queryMonth for historical comparison: Format yyyy-MM; compare with a second call without queryMonth to see changes over time

Query Types (queryType, for queryMode=1)

Important: queryType=1 (ASIN Similar) finds products similar to the given ASIN, not the ASIN itself. To query a single product's detail, use the Sorftime Product Detail skill.

Historical Snapshots (queryMonth)

Set queryMonth (format yyyy-MM) to query a past month's product data snapshot. This lets users compare historical prices, rankings, and sales with current data.

• Supported range: January 2024 to present (~2 years)
• US, GB, DE support full "unlimited" lookback mode
• Other sites support Top 100 products only in lookback
• AU, BR, IN do not support lookback

Query Examples for Common Scenarios

1. Find competitors of a given ASIN

queryMode: 1, queryType: 1, queryValue: B0CVM8TXHP, marketplace: us

2. Browse a category's top products

queryMode: 1, queryType: 2, queryValue: 3743561, marketplace: us

3. Analyze a brand's product portfolio

queryMode: 1, queryType: 3, queryValue: Anker, marketplace: us

4. Search by ABA keyword

queryMode: 1, queryType: 6, queryValue: Power Bank, marketplace: us

5. Discover seasonal products (Q4 peak)

queryMode: 1, queryType: 10, queryValue: 10,11,12, marketplace: us

6. Compare historical vs current data

queryMonth: 2024-11, queryMode: 1, queryType: 2, queryValue: 3743561, marketplace: us
→ Compare with current data (no queryMonth) to see price/sales changes

7. Multi-condition: new FBA products with good sales

queryMode: 2
queryValue: [{"QueryType":11,"Content":"2024-06-01,"},{"QueryType":9,"Content":"300,"},{"QueryType":15,"Content":"FBA"}]
marketplace: us

8. Find low-price high-sales products

queryMode: 2
queryValue: [{"QueryType":8,"Content":",2000"},{"QueryType":9,"Content":"500,"}]
marketplace: us

9. Check a seller's product portfolio

queryMode: 1, queryType: 4, queryValue: AnkerDirect, marketplace: us

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. Pagination notice: Search results return max 100 products per page, up to 200 pages. If results are large, show highlights and remind users to paginate
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. Error handling: When a query fails, explain the reason based on the msg field and suggest adjusting query criteria

Important Limitations

• Pagination: Max 100 products per page, max 200 pages
• Historical lookback: Only from January 2024; AU, BR, IN not supported
• Non-structured data: Results do not support secondary analysis via _dataQuery_executeDynamicQuery
• Sales estimation: Products in non-standard categories may return -1 for sales fields
• ABA keyword search (queryType=6): Currently only supports ABA keywords, not arbitrary search terms

User Expression & Scenario Quick Reference

Applicable - Product search and filtering on Amazon:

Not applicable - Needs beyond product search:

• Detailed trend/history data for a specific ASIN (use Sorftime Product Detail)
• 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 "competitor analysis" or "market research", if they need to discover and compare products across dimensions (category, brand, price range, etc.), this skill applies. If they need historical trend curves for a specific ASIN, use the Product Detail skill. If they need keyword search volume data, use ABA Data Explorer.

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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