FastMoss - TikTok Product Search

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)

调用方式

• API 端点：POST /fastmoss/productSearch（完整参数/响应/错误码见 references/api.md）
• Python 脚本：python scripts/fastmoss_product_search.py '<JSON 参数>' [--inline]
• 成本约束：本工具会消耗积分；同一会话同一参数组合默认只调用一次，脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探；需要继续检索时先向用户说明会产生额外消耗。

输出策略（脚本默认行为）：

• 始终将完整响应写入 <cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-fastmoss-product-search-<timestamp>.json（<cwd> 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；<session> 取自环境变量 SESSION_ID，按用户任务自动聚合；禁止写入 /tmp，当前目录不可写则报错）
• 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout
• 响应体 > 8 KB：落盘后 stdout 只输出摘要（顶层字段、常见计数如 total/costToken、最大列表字段的长度 + 前 3 条样本）
• 加 --inline 强制全量打印到 stdout（同样落盘）

读数据建议：先看摘要判断是否足够；需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取，避免整份 JSON 进入上下文。

解决认证和积分问题

发生以下异常情况时，采用 references/onboarding.md 引导解决问题：

异常情况

• 未配置API Key：环境变量未配置 LINKFOX_AGENT_API_KEY，也未配置 LINKFOXAGENT_API_KEY。
• 响应401或402状态码
• 响应提示积分或余额不足：消息含"积分余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值"，或类似含义的内容。

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

1. 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
2. Commission formatting: Commission rate is a decimal (0.10 = 10%) — always display as percentage for readability
3. Cross-border awareness: isCrossBorder: 1 = cross-border shop, 0 = local shop. Display clearly
4. Currency awareness: Include the currency field from the response when displaying prices and GMV
5. Trend labels: Display salesTrendFlagText directly as the trend indicator
6. Shop flags: Display freeShippingText and isSShopText directly (values are readable text)
7. 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.

积分消耗规则

消耗 11 积分。

用户会因积分消耗而支付费用。请充分评估：当需要高频调用本技能，或用户对积分消耗量预期不足时，务必提醒用户，由用户决定是否继续。

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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