linkfox-echotik-product-search

EchoTik TikTok Product Search

This skill guides you on how to search and analyze TikTok Shop product data, helping sellers and marketers discover product opportunities, evaluate sales performance, and identify influencer-driven products on TikTok.

Core Concepts

EchoTik is a TikTok Shop analytics platform that tracks product performance across multiple TikTok marketplaces. This tool provides keyword-based product search with rich filtering capabilities, returning detailed product data including sales volumes (1d/7d/15d/30d/60d/90d/total), GMV (revenue), pricing, ratings, review counts, commission rates, and influencer promotion statistics.

Sales metrics: Products include multi-period sales data — 1-day, 7-day, 15-day, 30-day, 60-day, 90-day, and total sales. The same granularity applies to GMV (Gross Merchandise Value) amounts.

Commission rate: Stored as a decimal (e.g., 0.05 means 5%). When a user specifies a percentage, convert it to decimal before passing to the API.

Listing date: The firstCrawlDt field uses a compact integer format YYYYMMDD (e.g., 20240101 for January 1, 2024).

Parameter Guide

Search & Filtering

Parameter	Type	Description	Default
keyword	string	Product keyword (translate to the local language of the target marketplace)	-
region	string	Marketplace code	US
categoryKeywordCN	string	Product category (must be in Chinese)	-

Sales Filters

Parameter	Type	Description
minTotalSaleCnt / maxTotalSaleCnt	integer	Total sales volume range
minTotalSale30dCnt / maxTotalSale30dCnt	integer	30-day sales volume range
minTotalSaleGmvAmt / maxTotalSaleGmvAmt	string	Total GMV range
minTotalSaleGmv30dAmt / maxTotalSaleGmv30dAmt	string	30-day GMV range

Product Attribute Filters

Parameter	Type	Description
minSpuAvgPrice / maxSpuAvgPrice	number	SPU average price range
minProductRating / maxProductRating	number	Product rating range
minReviewCount / maxReviewCount	integer	Review count range
minProductCommissionRate / maxProductCommissionRate	number	Commission rate range (decimal, e.g., 0.05 = 5%)

Influencer & Video Filters

Parameter	Type	Description
minTotalIflCnt / maxTotalIflCnt	integer	Number of influencers promoting the product
minTotalVideoCnt / maxTotalVideoCnt	integer	Number of promotion videos
minTotalViewsCnt / maxTotalViewsCnt	integer	Total views on promotion videos

Listing Date & Duration

Parameter	Type	Description
minFirstCrawlDt / maxFirstCrawlDt	integer	Listing date range (YYYYMMDD format, e.g., 20240101)
saleDays	integer	Days since listing

Sorting & Pagination

Parameter	Type	Description	Default
productSortField	integer	Sort field: 1=total sales, 2=total GMV, 3=avg price, 4=7d sales, 5=30d sales, 6=7d GMV, 7=30d GMV	1
sortType	integer	Sort order: 0=ascending, 1=descending	1
pageNum	integer	Page number	1
pageSize	integer	Results per page	50

Supported Marketplaces

US (United States), ID (Indonesia), TH (Thailand), PH (Philippines), MY (Malaysia), VN (Vietnam), GB (United Kingdom), MX (Mexico), SG (Singapore), SA (Saudi Arabia), BR (Brazil), ES (Spain), JP (Japan), DE (Germany), IT (Italy), FR (France)

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

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/echotik_list_product.py directly to run queries.

Usage Examples

1. Basic Keyword Search — Find top-selling products for a keyword

{
  "keyword": "phone case",
  "region": "US",
  "productSortField": 1,
  "sortType": 1,
  "pageSize": 20
}

2. High-Commission Product Discovery — Products with commission >= 10%

{
  "keyword": "beauty",
  "region": "US",
  "minProductCommissionRate": 0.10,
  "productSortField": 5,
  "sortType": 1
}

3. New & Trending Products — Recently listed with strong 30-day sales

{
  "keyword": "gadget",
  "region": "US",
  "minFirstCrawlDt": 20250101,
  "minTotalSale30dCnt": 1000,
  "productSortField": 5,
  "sortType": 1
}

4. Influencer-Hot Products — Products promoted by many influencers

{
  "keyword": "skincare",
  "region": "US",
  "minTotalIflCnt": 50,
  "minTotalViewsCnt": 1000000,
  "productSortField": 1,
  "sortType": 1
}

5. Budget-Friendly High-Sellers — Low price + high volume

{
  "keyword": "accessories",
  "region": "US",
  "maxSpuAvgPrice": 10,
  "minTotalSaleCnt": 5000,
  "productSortField": 2,
  "sortType": 1
}

6. Southeast Asia Market Exploration

{
  "keyword": "fashion",
  "region": "TH",
  "minTotalSale30dCnt": 500,
  "productSortField": 7,
  "sortType": 1
}

Display Rules

1. Present data clearly: Show query results in organized tables with key columns — product name, price, total sales, 30-day sales, GMV, rating, commission rate, and number of promoting influencers
2. Currency awareness: Include the currency field from the response when displaying prices and GMV
3. Commission formatting: Display commission rates as percentages for readability (e.g., show 0.05 as "5%")
4. Volume notice: When results have a large total count, show the current page data and inform the user of total available records; suggest adjusting filters or pagination to explore more
5. Image reference: If imageUrl or coverUrl is present, mention it so the user knows product images are available
6. Error handling: When a query fails, explain the reason based on the response and suggest adjusting parameters
7. Keyword translation reminder: When the user targets a non-English marketplace, remind them that the keyword should be in the local language of that marketplace for best results

Applicable Scenarios

User Says	Scenario
"Find trending products on TikTok"	Keyword search sorted by sales
"TikTok products with high commission"	Filter by commission rate
"What's selling well on TikTok Shop US"	Regional product search by sales
"New products blowing up on TikTok"	Filter by listing date + sales
"Which products have many influencers promoting them"	Filter by influencer count
"Cheap but high-volume TikTok products"	Filter by price + sales
"TikTok product research for Southeast Asia"	Search specific SE Asian regions
"Products with good reviews on TikTok"	Filter by rating + review count

Not Applicable Scenarios

• TikTok influencer/creator analytics (follower counts, engagement rates of creators)
• TikTok video performance analytics (views, likes, shares on specific videos)
• TikTok advertising / ad campaign management
• Amazon, Shopee, or other non-TikTok platform product data
• TikTok Shop store-level analytics
• Product listing creation or optimization advice
• Logistics, fulfillment, or shipping analysis

Boundary judgment: When users say "product research" or "what should I sell on TikTok", if it involves searching and filtering products by sales data, pricing, or commission rates on TikTok Shop, then this skill applies. If they're asking about content strategy, video creation, or influencer outreach, 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.

Handling Large Responses

To avoid overflowing the agent context, persist the response to disk and extract only the fields you need:

python scripts/response_io.py run --script scripts/echotik_list_product.py --out-dir <DIR> '<params>'
python scripts/response_io.py read <file> --fields "<paths>"   # or --path "<JMESPath>"

Pick --out-dir outside any git working tree (e.g. /tmp/... on Unix, %TEMP%/... on Windows). Persisted responses may contain PII, pricing, or auth-sensitive data — do not commit them. Files are not auto-deleted; clean up when the task is done.

run writes the full response to a file and emits only a schema preview + file path. read projects specific fields, with --limit/--offset for slicing and --format json|jsonl|csv|table for output.

When to prefer this pattern — apply your judgment based on the response characteristics, e.g.:

• High field count per record, or fields you don't need
• Batch/paginated results (multiple items per call)
• Long-text fields (descriptions, reviews, HTML, time series)
• Output reused across later steps rather than consumed immediately

For small, single-use responses, calling the main script directly is fine.

⚠️ The preview is a truncated schema + sample, not the full data. Any field-level decision must read from the persisted file via read.

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