This skill guides you on how to search and filter TikTok Shop product data using FastMoss, helping sellers and marketers discover product opportunities, evaluate sales performance, and identify influencer-driven products across 15 TikTok markets worldwide.
Core Concepts
FastMoss is a well-known TikTok e-commerce data 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 multi-period sales (7-day/28-day/90-day/total), GMV (revenue), pricing, ratings, review counts, commission rates, influencer promotion statistics, and shop information.
Sales metrics: Products include multi-period sales data — 7-day, 28-day, 90-day, and total sales. The same granularity applies to GMV (Gross Merchandise Value) amounts.
Commission rate: Stored as a decimal (e.g., 0.10 means 10%). When displaying to the user, convert to percentage format.
Shop types: Products can be filtered by shop type — local shops (1) or cross-border shops (2). The isCrossBorder field (1=cross-border, 0=local) and isSShopText field (TikTok fully-managed shop) provide additional shop classification.
Parameter Guide
Search & Filtering
| Parameter | Type | Required | Description |
|---|---|---|---|
| keyword | string | No | Search keyword (product title fuzzy match) |
| region | string | No | Market region code. Supported: US, GB, MX, ES, DE, IT, FR, ID, VN, MY, TH, PH, BR, JP, SG |
| category | string | No | Category name in English, matched to TikTok category ID. Non-English should be translated first |
| shopType | integer | No | Shop type: 1=local shop, 2=cross-border shop |
Boolean Filters
| Parameter | Type | Required | Description |
|---|---|---|---|
| isTopSelling | boolean | No | Filter hot-selling products only |
| isNewListed | boolean | No | Filter new products only |
| isSshop | boolean | No | Filter TikTok fully-managed (S-shop) products only |
| isFreeShipping | boolean | No | Filter free-shipping products only |
| isLocalWarehouse | boolean | No | Filter local warehouse products only |
Range Filters
| Parameter | Type | Required | Description |
|---|---|---|---|
| unitsSoldRange | object | No | Sales volume range filter: {min, max} |
| commissionRateRange | object | No | Commission rate range filter: {min, max} |
| creatorCountRange | object | No | Creator/influencer count range filter: {min, max} |
Sorting & Pagination
| Parameter | Type | Required | Description |
|---|---|---|---|
| orderField | string | No | Sort field: day7_units_sold, day7_gmv, commission_rate, total_units_sold, total_gmv, creator_count. Default: descending |
| page | integer | No | Page number, default 1 |
| pageSize | integer | No | Items per page, max 10, default 10 |
Supported Markets (15)
US (United States), GB (United Kingdom), MX (Mexico), ES (Spain), DE (Germany), IT (Italy), FR (France), ID (Indonesia), VN (Vietnam), MY (Malaysia), TH (Thailand), PH (Philippines), BR (Brazil), JP (Japan), SG (Singapore)
How to call
- API endpoint：
POST /fastmoss/productSearch(for full parameters/responses/error codes, seereferences/api.md） - Python script：
python scripts/fastmoss_product_search.py '<JSON 参数>' [--inline] - Cost constraints: This tool consumes compute; by default, the same parameter combination is called only once per session, and the script has a 24h local cache. On failure/empty results, do not automatically try different keywords, paginate, or change the zip code to probe repeatedly; if you need to continue searching, first explain to the user that additional consumption will be incurred.
Output strategy (script default behavior)：
- Alwayswrite the full response to
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-fastmoss-product-search-<timestamp>.json（<cwd>is the working directory when the script runs, which in Claude Code is the current project directory;<session>is taken from the environment variableSESSION_ID, automatically aggregated according to the user's task;writing to /tmp is prohibited, and an error is reported if the current directory is not writable) - Response body ≤ 8 KB: after writing to disk, print the full JSON to stdout
- Response body > 8 KB: after writing to disk, stdout outputs only a summary (top-level fields, common counts such as
total/costToken, the length of the largest list field + the first 3 samples) - Add
--inlineto force full printing to stdout (also written to disk)
Data reading suggestions: First look at the summary to determine whether it is sufficient; when specific fields are needed, prefer to use jqorConvertFrom-Json to extract on demand from the saved json file, avoiding bringing the entire JSON into context.
Resolve authentication and compute issues
When the following abnormal situations occur, use references/onboarding.md to guide resolution:
Abnormal situations
- API Key not configured: The environment variable is not configured with
LINKFOX_AGENT_API_KEY, andLINKFOXAGENT_API_KEY。 - Response 401 or 402 status code
- Response indicates insufficient compute or balance: The message contains "insufficient compute balance/insufficient billing/insufficient balance/quota exceeded/insufficient balance/package expired/recharge required/please recharge", or content with a similar meaning.
Data Fields
Key fields returned for each product:
| Field | Description |
|---|---|
| title | Product name |
| productId | Unique product identifier |
| region | Market region code |
| price, minPrice, maxPrice | Product price and price range |
| currency | Currency code |
| totalSaleCnt | Total cumulative sales |
| totalSale1dCnt, totalSale7dCnt, totalSale28dCnt, totalSale90dCnt | Sales by period |
| totalSaleGmvAmt, totalSaleGmv7dAmt, totalSaleGmv28dAmt | GMV by period |
| totalVideoCnt, totalLiveCnt, totalIflCnt | Video count, live count, influencer count |
| productCommissionRate | Commission rate (decimal, 0.10 = 10%) |
| productRating, reviewCount | Rating and review count |
| skuCount | Number of SKUs |
| shopName, shopSellerId, shopTotalUnitsSold | Shop information |
| isCrossBorder | 1=cross-border, 0=local |
| isSShopText, freeShippingText | Fully-managed shop flag, free shipping flag |
| salesTrendFlagText | Sales trend label |
| categoryName | Product category |
| tiktokUrl, fastmossUrl, imageUrl | Links and image |
Usage Examples
1. Basic Keyword Search — Find top-selling products
{
"keyword": "phone case",
"region": "US",
"orderField": "total_units_sold",
"pageSize": 10
}
2. High-Commission Product Discovery — Products with commission >= 10%
{
"keyword": "beauty",
"region": "US",
"commissionRateRange": {"min": 0.10},
"orderField": "commission_rate"
}
3. Cross-Border Shop Products — Filter by shop type
{
"keyword": "gadget",
"region": "US",
"shopType": 2,
"orderField": "day7_units_sold"
}
4. Influencer-Hot Products — Products promoted by many creators
{
"keyword": "skincare",
"region": "US",
"creatorCountRange": {"min": 50},
"orderField": "creator_count"
}
5. Hot-Selling New Products on TikTok
{
"keyword": "fashion",
"region": "GB",
"isTopSelling": true,
"isNewListed": true,
"orderField": "day7_gmv"
}
Display Rules
- Present data only: Show query results in organized tables with key columns — product name, price, total sales, 7-day sales, GMV, rating, commission rate, and number of promoting influencers. Do not make subjective business advice
- Commission formatting: Commission rate is a decimal (0.10 = 10%) — always display as percentage for readability
- Cross-border awareness:
isCrossBorder: 1 = cross-border shop, 0 = local shop. Display clearly - Currency awareness: Include the currency field from the response when displaying prices and GMV
- Trend labels: Display
salesTrendFlagTextdirectly as the trend indicator - Shop flags: Display
freeShippingTextandisSShopTextdirectly (values are readable text) - Error handling: When a query fails, explain the reason based on the response and suggest adjusting parameters
Important Limitations
- No required parameters (all optional), but at minimum provide keyword or category for meaningful results
- Max 10 items per page
Applicable Scenarios
| User Says | Scenario |
|---|---|
| "Find trending products on TikTok" | Keyword search sorted by sales |
| "TikTok products with high commission" | Filter by commission rate range |
| "What's selling well on TikTok Shop US" | Regional product search by sales |
| "Search TikTok cross-border shop products" | Filter by shopType=2 |
| "Which products have many influencers promoting them" | Filter by creator count range |
| "TikTok fully-managed shop products" | Filter with isSshop=true |
| "TikTok product research for Southeast Asia" | Search specific SE Asian regions |
| "New hot-selling products on TikTok" | Use isTopSelling + isNewListed flags |
| "FastMoss product data" | Direct platform reference |
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.
Compute consumption rules
Consumes 11 compute.
Users will pay fees due to compute consumption. Please fully assess: when this skill needs to be called frequently, or when the user's expectation of compute consumption is insufficient, be sure to remind the user and let the user decide whether to continue.
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
- The functionality or purpose described in this skill does not match actual behavior
- The skill's results do not match the user's intent
- The user expresses dissatisfaction or praise about this skill
- 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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