TikTok Product Research
Product Understanding Step
Before running this skill, if the user provides a product, image, ASIN, listing, product ID, or product idea, first identify:
- product type/category
- main use case
- key physical, design, or functional features
- target marketplace, country, or platform
- user's analysis goal
Use this product understanding to choose parameters, filters, competitors, regions, keywords, or analysis dimensions before executing the script.
Core Question
Which TikTok Shop products match the user's discovery, sourcing, category, sales, commission, creator, or shop filters?
When to Use
- User asks to search or filter TikTok Shop products.
- User wants product discovery by keyword, category, region, price, sales, GMV, commission rate, creator count, shop type, or new listing status.
- User gives a product idea and wants similar TikTok products or market examples.
- User wants a filtered product list rather than a fixed top-selling leaderboard.
Clarify or Infer Before Querying
If the user request is broad or ambiguous, identify:
- target region or TikTok Shop market
- product keyword or category
- sales/GMV, price, commission, creator-count, rating, or shop-type filters
- whether the user wants new listings, top-selling products, local shops, cross-border shops, or S Shop products
- sort metric and desired result count
Use sensible defaults when the user's intent is clear: US, pageSize 10, sort by 7-day units sold or 7-day GMV depending on whether the user asks about sales or revenue.
Differs From / Not Applicable
- Use
ecommerce.tiktok-top-sellingfor official best-seller rankings by market/category/time period. - Use
ecommerce.tiktok-product-videowhen the user provides a TikTokproductIdand wants promotional video or influencer performance. - Use this skill for flexible product search/filtering, not fixed leaderboards or video-level analysis.
- Do not use for Temu, Amazon, patent checks, or listing keyword placement.
Workflow
- Understand the product/category intent and normalize filters.
- Choose region, keyword/category, shop filters, ranges, and sort order.
- Query FastMoss product search.
- Return a compact product table with sales, GMV, price, commission, creator count, rating, shop, and category.
- Add sourcing observations and identify products worth checking with video analysis.
Output Structure
Default output should include:
- Query assumptions and filters used
- Product table: title/product ID, region, category, shop, price, 7/28/90-day sales or GMV, commission, creator/video/live counts, rating, reviews, links
- Key observations: high sales, high commission, creator traction, new listing momentum, cross-border/local-shop signal
- Suggested next step: inspect selected product videos, compare with TikTok rankings, or validate demand on Amazon/Temu
Endpoint: {NEXSCOPE_PROXY_BASE}/api/v1/tools/research/fastmoss/productSearch Auth: Bearer {NEXSCOPE_API_KEY} Method: POST JSON
Parameters: keyword, region (US/GB/MX/ES/DE/IT/FR/ID/VN/MY/TH/PH/BR/JP/SG), category, shopType (1=local/2=cross-border), isTopSelling, isNewListed, isSshop, isFreeShipping, isLocalWarehouse, unitsSoldRange, commissionRateRange, creatorCountRange, orderField (day7_units_sold/day7_gmv/commission_rate/total_units_sold/total_gmv/creator_count), page, pageSize (max 10)
Response fields per product: title, productId, region, price/minPrice/maxPrice/currency, totalSaleCnt/totalSale7dCnt/totalSale28dCnt/totalSale90dCnt, totalSaleGmvAmt/totalSaleGmv7dAmt/totalSaleGmv28dAmt, totalVideoCnt/totalLiveCnt/totalIflCnt, productCommissionRate, productRating/reviewCount, shopName/isCrossBorder/isSShopText, categoryName, salesTrendFlagText, tiktokUrl/fastmossUrl/imageUrl
Display: commission as percentage, currency with prices, trend labels directly
See references/api.md for full documentation.
Environment Variables
| Variable | Required | Description |
|---|---|---|
NEXSCOPE_PROXY_BASE |
Yes | NexScope proxy base URL |
NEXSCOPE_API_KEY |
Yes | NexScope proxy API key |