linkfox-echotik-new-product-rank

EchoTik - TikTok New Product Ranking

This skill guides you on how to query and analyze the TikTok Shop new product ranking data via the EchoTik data source, helping cross-border e-commerce sellers identify trending new products across TikTok's regional markets.

Core Concepts

The TikTok New Product Ranking tracks recently listed products that are gaining traction on TikTok Shop. It reveals which new products are selling well, their pricing, sales volume, influencer coverage, and live-stream activity. This is an essential tool for product scouting, trend analysis, and competitive intelligence in the short-video e-commerce space.

Data scope: The ranking covers 16 TikTok Shop markets and provides daily snapshots of new products along with their performance metrics (sales volume, revenue, influencer count, video count, live-stream count, commission rate, ratings, and more).

Pagination: Results are paginated. Use pageNum (page number, starting from 1) and pageSize (items per page, default 50) to navigate through the result set.

Parameter Guide

Parameter	Type	Required	Description
date	string	Yes	Query date in YYYY-MM-DD format
region	string	No	Market region code. Default: US. See Supported Markets below
pageNum	integer	No	Page number, starting from 1 (default: 1)
pageSize	integer	No	Number of products per page (default: 50)

Supported Markets

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

Default market is US. Use US when the user does not specify a market.

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_new_product_rank.py directly to run queries.

Usage Examples

1. Today's trending new products in the US Query the US market for the current date to see which new products are gaining traction.

date: "2025-06-15", region: "US"

2. Discover hot new products in Southeast Asia Check the Indonesian or Thai market for new product opportunities.

date: "2025-06-15", region: "ID"

3. Browse the UK market new product ranking Scout the UK TikTok Shop for trending new arrivals.

date: "2025-06-15", region: "GB"

4. Paginate through a large result set Retrieve the second page of 20 results for the US market.

date: "2025-06-15", region: "US", pageNum: 2, pageSize: 20

Data Fields (Response)

Field	API Name	Description
Product Title	title	Name of the product
Product ID	asin	Unique product identifier
Region	region	Market region code
Price (Avg)	price	Average SPU price
Min Price	minPrice	Lowest price
Max Price	maxPrice	Highest price
Currency	currency	Currency code
Total Sales	totalSaleCnt	Total units sold
30-Day Sales	totalSale30dCnt	Units sold in the last 30 days
Total Revenue	totalSaleGmvAmt	Total gross merchandise value
30-Day Revenue	totalSaleGmv30dAmt	Revenue in the last 30 days
Sales Trend	salesTrendFlagText	Sales trend indicator (0 = stable, 1 = rising, 2 = declining)
Total Videos	totalVideoCnt	Number of associated videos
Total Live Streams	totalLiveCnt	Number of associated live streams
Total Influencers	totalIflCnt	Number of influencers promoting the product
Commission Rate	productCommissionRate	Product commission rate
Rating	productRating	Average product rating
Review Count	reviewCount	Number of product reviews
First Seen Date	availableDate	Date the product was first tracked
Category ID	categoryId	Product category identifier
Image URL	imageUrl	Product image URL
Image URLs	productImageUrls	List of product image URLs

Display Rules

1. Present data only: Show query results in clear tables without subjective business advice
2. Sales trend clarification: When showing sales trend data, translate the numeric flag into human-readable labels: 0 = Stable, 1 = Rising, 2 = Declining
3. Currency awareness: Always display prices alongside their currency code since different markets use different currencies
4. Volume notice: When results are large, show a summary of the top products and remind users they can paginate for more results
5. Image handling: If product image URLs are available, mention them but do not attempt to render images inline unless the environment supports it
6. Error handling: When a query fails, explain the reason and suggest adjusting the date or region parameters

Important Limitations

• Date required: The date parameter is mandatory; there is no default date
• Daily granularity: Data is a daily snapshot, not weekly or monthly
• Pagination: Use pageNum and pageSize to navigate large result sets; not all products are returned in a single call

User Expression & Scenario Quick Reference

Applicable -- TikTok Shop new product discovery and trend analysis:

User Says	Scenario
"What new products are trending on TikTok"	New product ranking lookup
"TikTok bestsellers today", "hot products on TikTok Shop"	Daily ranking query
"New product opportunities in Southeast Asia TikTok"	Regional market scouting
"Which new items are selling well on TikTok UK"	Region-specific ranking
"TikTok product scouting", "short-video e-commerce trends"	General product discovery
"Show me rising new products on TikTok"	Trend-filtered ranking
"TikTok influencer product picks", "what are TikTok creators promoting"	Influencer-driven product discovery

Not applicable -- Needs beyond TikTok new product rankings:

• Amazon product research or ABA keyword data
• TikTok advertising / ad campaign management
• TikTok content creation or video editing
• Product reviews or listing copywriting
• Historical trend analysis spanning many months (this tool provides daily snapshots)
• Profit margin calculations or pricing strategy

Boundary judgment: When users say "product research" or "what's selling well", if the context clearly involves TikTok Shop or short-video e-commerce, this skill applies. If they are asking about Amazon, Shopify, or other platforms, 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_new_product_rank.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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