Amazon Intelligence SS

Amazon Market Research MCP

Assess niche size, competition, and seller concentration. Call the Amazon Market Research API via REST or MCP with your Nexscope API key.

CostRecent 32 credits / callOnline Test

Amazon Market Research AI Prompts & Use Cases

After connecting this MCP tool to your AI assistant, you can ask the questions below. Replace bracketed placeholders with your own inputs and use the supported values in Arguments.

New to Nexscope MCP? Follow the connection guide, then use the prompts below. The Integration and Parameters & Response tabs contain the connection steps, call example, and technical reference.

1. Research An Amazon Market

Prompt: Research the available Amazon market segments in [MARKETPLACE].

2. Check A Historical Snapshot

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Use the available historical snapshot for [YEAR_MONTH]. Do not request a future month or present saved observations as live data.

3. Set The Market Comparison Scope

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Use the top [NUMBER_OF_LISTINGS] listings and classify products launched within [MONTHS] months as new products. Keep those definitions attached to the returned metrics.

4. Review Several Result Pages

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Collect up to 3 pages for this research task. Request 10 results per page. Stop sooner if there is no next page, an empty result or an error. Deduplicate matching identifiers and do not describe the sample as the full market.

5. Search A Category By Its ID

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Restrict the search to Amazon category ID path [CATEGORY_PATH].

6. Research A Category Path

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Research category [CATEGORY_PATH], with its category levels in order.

7. Find Markets By Average Monthly Sales Revenue

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with average monthly sales revenue between [LOWER_LIMIT] and [UPPER_LIMIT].

8. Find Markets By Average Monthly Sales Volume

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with average monthly sales volume between [LOWER_LIMIT] and [UPPER_LIMIT].

9. Find Markets By Product Count

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with product count between [LOWER_LIMIT] and [UPPER_LIMIT].

10. Find Markets By Seller Count

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with seller count between [LOWER_LIMIT] and [UPPER_LIMIT].

11. Find Markets By Brand Count

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with brand count between [LOWER_LIMIT] and [UPPER_LIMIT].

12. Find Markets By Average Seller Count

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with average seller count between [LOWER_LIMIT] and [UPPER_LIMIT].

13. Find Markets By Product Concentration

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with product concentration between [LOWER_LIMIT] and [UPPER_LIMIT] percent.

14. Find Markets By Seller Concentration

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with seller concentration between [LOWER_LIMIT] and [UPPER_LIMIT] percent.

15. Find Markets By Brand Concentration

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with brand concentration between [LOWER_LIMIT] and [UPPER_LIMIT] percent.

16. Find Markets By Amazon Self-Operated Share

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with amazon self-operated share between [LOWER_LIMIT] and [UPPER_LIMIT] percent.

17. Find Markets By FBA Share

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with FBA share between [LOWER_LIMIT] and [UPPER_LIMIT] percent.

18. Find Markets By Fbm Share

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with fbm share between [LOWER_LIMIT] and [UPPER_LIMIT] percent.

19. Find Markets By A+ Share

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with a+ share between [LOWER_LIMIT] and [UPPER_LIMIT] percent.

20. Find Markets By Average Price

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with average price between [LOWER_LIMIT] and [UPPER_LIMIT].

21. Find Markets By Average Rating Value

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with average rating value between [LOWER_LIMIT] and [UPPER_LIMIT].

22. Find Markets By Average Review Count

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with average review count between [LOWER_LIMIT] and [UPPER_LIMIT].

23. Find Markets By Average Gross Margin

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with average gross margin between [LOWER_LIMIT] and [UPPER_LIMIT] percent.

24. Find Markets By Average BSR Rank

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with average BSR rank between [LOWER_LIMIT] and [UPPER_LIMIT].

25. Find Markets By New Product Count

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with new product count between [LOWER_LIMIT] and [UPPER_LIMIT].

26. Find Markets By New Product Average Price

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with new product average price between [LOWER_LIMIT] and [UPPER_LIMIT].

27. Find Markets By New Product Average Star Rating

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with new product average star rating between [LOWER_LIMIT] and [UPPER_LIMIT].

28. Find Markets By New Product Average Review Count

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with new product average review count between [LOWER_LIMIT] and [UPPER_LIMIT].

29. Find Markets By New Product Average Monthly Sales

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with new product average monthly sales between [LOWER_LIMIT] and [UPPER_LIMIT].

30. Find Markets By New Product Average Monthly Revenue

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with new product average monthly revenue between [LOWER_LIMIT] and [UPPER_LIMIT].

31. Find Markets By Top Listing Average Monthly Sales

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with top listing average monthly sales between [LOWER_LIMIT] and [UPPER_LIMIT].

32. Find Markets By Top Listing Average Monthly Revenue

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with top listing average monthly revenue between [LOWER_LIMIT] and [UPPER_LIMIT].

33. Find Markets By Top Listing Average BSR

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Keep markets with top listing average BSR between [LOWER_LIMIT] and [UPPER_LIMIT].

34. Use The Latest Available Snapshot

Prompt: Research the available Amazon market segments in [MARKETPLACE]. Use the latest available snapshot rather than a historical month. Keep the returned observation period explicit.

35. Compare Supported Marketplaces

Prompt: Run my category analysis separately for the US, Japan, UK, Germany, France, Italy, Spain, Canada and India. Keep each marketplace and currency separate in the results.

36. Prioritize Sales And Growth

Prompt: Find Amazon markets in [marketplace] matching my category research. Rank the results by [monthly sales units, monthly sales revenue, monthly unit growth, monthly revenue growth, variant sales units] in [ascending or descending order]. Preserve the chosen metric and reporting period.

37. Prioritize Product Attributes

Prompt: Find Amazon markets in [marketplace] matching my category research. Rank the results by [price, rating, review count, gross margin, review rate, listing date, Q&A count, monthly new reviews] in [ascending or descending order]. Preserve the chosen metric and reporting period.

38. Prioritize Category Ranking

Prompt: Find Amazon markets in [marketplace] matching my category research. Rank the results by [BSR rank, seven-day BSR growth count, seven-day BSR growth rate] in [ascending or descending order]. Preserve the chosen metric and reporting period.

What You Need to Provide

Replace the bracketed placeholders with your own research inputs. Keep source estimates, reporting periods and missing information explicit.

Step 1 · Connect

Connect Your AI Assistant

Connect a compatible MCP client to Nexscope, then select this tool from your assistant. Use the connection settings in your client to complete authentication.

POST https://api.nexscope.ai/mcp
MCP-Protocol-Version: 2025-11-25
Content-Type: application/json

Authentication

Use OAuth 2.1 Authorization Code with PKCE and the mcp:tools scope. API keys remain supported as a compatibility option.

Authorization: Bearer nk-xxxxxxxxxxxxxxxxx

Using an API key? Get your key from API Access and include it in the Authorization header shown above.

Call this MCP tool

MCP tool name

nexscope_amazon_market_research

MCP endpoint

https://api.nexscope.ai/mcp

JSON-RPC method

tools/call

Initialize an MCP 2025-11-25 Streamable HTTP session at https://api.nexscope.ai/mcp, then use tools/call.

{
  "jsonrpc": "2.0",
  "id": "amazon-market-research-1",
  "method": "tools/call",
  "params": {
    "name": "nexscope_amazon_market_research",
    "arguments": {
      "departmentKeyword": "phone case",
      "marketplace": "US",
      "newProduct": 3,
      "page": 1,
      "size": 50,
      "topNum": 10
    }
  }
}

MCP 2025-11-25 · Streamable HTTP

Progress is delivered on the original POST SSE response. GET SSE carries notifications; reconnecting must query existing asynchronous work rather than submit again.

Arguments

Name	Type	Required	Description
`marketplace`	`string`	required	Site code, see [marketplace](#marketplace-options) Example: US
`nodeIdPath`	`string`	optional	Category node ID path, e.g. 172282:281407
`departmentKeyword`	`string`	optional	Category keyword path, e.g. Electronics:Accessories & Supplies Example: phone case
`sellerLocation`	`string`	optional	Seller location, multiple values comma-separated; see Nexscope table 1.3 for values
`newProduct`	`integer`	optional	New product definition (months) Example: 3
`topNum`	`integer`	optional	Top Listing count Example: 10
`month`	`string`	optional	Filter date: nearly or yyyyMM
`page`	`integer`	optional	Page number, starting from 1 Example: 1
`size`	`integer`	optional	Results per page Example: 50
`orderField`	`string`	optional	Sort field, see [orderField](#orderfield-options)
`orderDesc`	`boolean`	optional	true descending, false ascending Example: false
`minAvgRevenue`	`number`	optional	Minimum / maximum average monthly sales revenue Example: 1
`maxAvgRevenue`	`number`	optional	Minimum / maximum average monthly sales revenue Example: 1
`minAvgUnits`	`integer`	optional	Minimum / maximum average monthly sales volume Example: 1
`maxAvgUnits`	`integer`	optional	Minimum / maximum average monthly sales volume Example: 1
`minGoodsCount`	`integer`	optional	Minimum / maximum product count Example: 1
`maxGoodsCount`	`integer`	optional	Minimum / maximum product count Example: 1
`minSellers`	`integer`	optional	Minimum / maximum seller count Example: 1
`maxSellers`	`integer`	optional	Minimum / maximum seller count Example: 1
`minBrands`	`integer`	optional	Minimum / maximum brand count Example: 1
`maxBrands`	`integer`	optional	Minimum / maximum brand count Example: 1
`minAvgSellers`	`number`	optional	Minimum / maximum average seller count Example: 1
`maxAvgSellers`	`number`	optional	Minimum / maximum average seller count Example: 1
`minGoodsCrn`	`number`	optional	Minimum / maximum product concentration (decimal 0-1) Example: 1
`maxGoodsCrn`	`number`	optional	Minimum / maximum product concentration (decimal 0-1) Example: 1
`minSellerCrn`	`number`	optional	Minimum / maximum seller concentration (decimal 0-1) Example: 1
`maxSellerCrn`	`number`	optional	Minimum / maximum seller concentration (decimal 0-1) Example: 1
`minBrandCrn`	`number`	optional	Minimum / maximum brand concentration (decimal 0-1) Example: 1
`maxBrandCrn`	`number`	optional	Minimum / maximum brand concentration (decimal 0-1) Example: 1
`minAmazonSelfProportion`	`number`	optional	Minimum / maximum Amazon self-operated share (decimal 0-1) Example: 1
`maxAmazonSelfProportion`	`number`	optional	Minimum / maximum Amazon self-operated share (decimal 0-1) Example: 1
`minFbaProportion`	`number`	optional	Minimum / maximum FBA share (decimal 0-1) Example: 1
`maxFbaProportion`	`number`	optional	Minimum / maximum FBA share (decimal 0-1) Example: 1
`minFbmProportion`	`number`	optional	Minimum / maximum FBM share (decimal 0-1) Example: 1
`maxFbmProportion`	`number`	optional	Minimum / maximum FBM share (decimal 0-1) Example: 1
`minEbcProportion`	`number`	optional	Minimum / maximum A+ share (decimal 0-1) Example: 1
`maxEbcProportion`	`number`	optional	Minimum / maximum A+ share (decimal 0-1) Example: 1
`minNewProportion`	`number`	optional	Minimum / maximum new product share (scale may differ from other ratio fields; refer to tool schema / actual network behavior) Example: 1
`maxNewProportion`	`number`	optional	Minimum / maximum new product share (scale may differ from other ratio fields; refer to tool schema / actual network behavior) Example: 1
`minAvgPrice`	`number`	optional	Minimum / maximum average price Example: 1
`maxAvgPrice`	`number`	optional	Minimum / maximum average price Example: 1
`minAvgRating`	`number`	optional	Minimum / maximum average rating value Example: 1
`maxAvgRating`	`number`	optional	Minimum / maximum average rating value Example: 1
`minAvgRatings`	`integer`	optional	Minimum / maximum average review count Example: 1
`maxAvgRatings`	`integer`	optional	Minimum / maximum average review count Example: 1
`minAvgProfit`	`number`	optional	Minimum / maximum average gross margin (input N means N%, 0-100) Example: 1
`maxAvgProfit`	`number`	optional	Minimum / maximum average gross margin (input N means N%, 0-100) Example: 1
`minAvgBsr`	`integer`	optional	Minimum / maximum average BSR rank Example: 1
`maxAvgBsr`	`integer`	optional	Minimum / maximum average BSR rank Example: 1
`minNewCount`	`integer`	optional	Minimum / maximum new product count Example: 1
`maxNewCount`	`integer`	optional	Minimum / maximum new product count Example: 1
`minNewAvgPrice`	`number`	optional	Minimum / maximum new product average price Example: 1
`maxNewAvgPrice`	`number`	optional	Minimum / maximum new product average price Example: 1
`minNewAvgRating`	`number`	optional	Minimum / maximum new product average star rating Example: 1
`maxNewAvgRating`	`number`	optional	Minimum / maximum new product average star rating Example: 1
`minNewAvgRatings`	`integer`	optional	Minimum / maximum new product average review count Example: 1
`maxNewAvgRatings`	`integer`	optional	Minimum / maximum new product average review count Example: 1
`minNewAvgUnits`	`number`	optional	Minimum / maximum new product average monthly sales Example: 1
`maxNewAvgUnits`	`number`	optional	Minimum / maximum new product average monthly sales Example: 1
`minNewAvgRevenue`	`number`	optional	Minimum / maximum new product average monthly revenue Example: 1
`maxNewAvgRevenue`	`number`	optional	Minimum / maximum new product average monthly revenue Example: 1
`minTopAvgUnits`	`integer`	optional	Minimum / maximum top listing average monthly sales Example: 1
`maxTopAvgUnits`	`integer`	optional	Minimum / maximum top listing average monthly sales Example: 1
`minTopAvgRevenue`	`number`	optional	Minimum / maximum top listing average monthly revenue Example: 1
`maxTopAvgRevenue`	`number`	optional	Minimum / maximum top listing average monthly revenue Example: 1
`minTopAvgBsr`	`integer`	optional	Minimum / maximum top listing average BSR Example: 1
`maxTopAvgBsr`	`integer`	optional	Minimum / maximum top listing average BSR Example: 1
`minWeight`	`number`	optional	Minimum / maximum weight Example: 1
`maxWeight`	`number`	optional	Minimum / maximum weight Example: 1
`minVolume`	`number`	optional	Minimum / maximum volume Example: 1
`maxVolume`	`number`	optional	Minimum / maximum volume Example: 1

Response fields

Treat structuredContent as the programmatic API response payload.

Name	Type	Required	Description
`total`	`integer`	optional	Total number of items
`marketplace`	`string`	optional	Site encoding
`data`	`array`	optional	Category market list (corresponding to third-party `data.items`)
`columns`	`array`	optional	Rendered columns
`costToken`	`integer`	optional	Consume token
`type`	`string`	optional	rendering style
`nodeId`	`string`	optional	Node ID
`nodeIdPath`	`string`	optional	Node ID path
`nodeLabelName`	`string`	optional	Node name
`nodeLabelPath`	`string`	optional	Node name path
`nodeLabelLocale`	`string`	optional	Node name translation
`nodeLabelPathLocale`	`string`	optional	Node name path translation
`marketplace`	`string`	optional	market sign
`currency`	`string`	optional	The currency type of this market
`ranking`	`integer`	optional	Ranking
`totalProducts`	`integer`	optional	Total number of items
`topProducts`	`integer`	optional	sample size
`sellers`	`integer`	optional	Number of sellers
`brands`	`integer`	optional	Number of brands
`avgSellers`	`number`	optional	Average number of sellers
`avgUnits`	`integer`	optional	average monthly sales
`totalUnits`	`integer`	optional	Total monthly sales
`avgRevenue`	`number`	optional	average monthly sales
`totalRevenue`	`number`	optional	total monthly sales
`avgPrice`	`number`	optional	average price
`avgRating`	`number`	optional	average rating
`avgRatings`	`integer`	optional	average rating
`avgBsr`	`integer`	optional	Average BSR
`avgProfit`	`number`	optional	Average profit margin (%)
`fbaProportion`	`number`	optional	FBA proportion (%)
`fbmProportion`	`number`	optional	FBM proportion (%)
`amazonSelfProportion`	`number`	optional	Amazon’s self-operated share (%)
`ebcProportion`	`number`	optional	A+ product proportion (%)
`returnRatio`	`number`	optional	Return rate (%)
`avgReturnRatio`	`number`	optional	Return rate category average (%)
`searchToPurchaseRatio`	`number`	optional	Search to purchase ratio (per thousand)
`sellerNation`	`string`	optional	Most sellers’ code
`sellerNationLabel`	`string`	optional	Label with the most sellers’ locations
`sellerProportion`	`number`	optional	Proportion of where the most sellers belong (%)
`avgWeight`	`number`	optional	Average weight (pound)
`baseAvgWeight`	`number`	optional	Average weight (g)
`avgVolume`	`number`	optional	Average volume (in³)
`baseAvgVolume`	`number`	optional	Average volume (cm³)
`top10Images`	`array`	optional	The top 10 product pictures, the elements are shown in the table below
`image`	`string`	optional	Image link
`asin`	`string`	optional	ASIN

Example Q&A

Based on a published documentation sample, not a live tool call.

Your Question

Summarize the US Standard Outlets category for August 2026.

Example Answer

The returned category sample reports an average price of USD 27.42, an average rating of 4.6 and total revenue of USD 3,812,413.70. These figures describe the sampled category and reporting period.

About this sample: Revenue is not profit. This category snapshot does not establish current demand or guarantee a successful product launch.

View the Published Sample Data (JSON)

Published REST data example. Use Parameters & Response for MCP arguments when calling this tool.

Data Example

Sample request and response

Request parameters

{
  "marketplace": "US",
  "nodeIdPath": "228013:495266:495334:6291365011",
  "month": "202608",
  "page": 1,
  "size": 10
}

Response

{
  "code": 0,
  "msg": null,
  "data": {
    "total": 1,
    "marketplace": "US",
    "data": [
      {
        "sellerNation": "US",
        "avgPrice": 27.42,
        "nodeLabelPath": "工具与家居装修:Electrical:Outlets & Accessories:Standard Outlets",
        "fbaProportion": 80,
        "returnRatio": 6.1707,
        "amazonSelfProportion": 16,
        "avgRevenue": 38124,
        "avgRatings": 1364,
        "nodeLabelLocale": "标准插座",
        "currency": "USD",
        "avgRating": 4.6,
        "totalRevenue": 3812413.7,
        "sellerNationLabel": "美国",
        "top10Images": [
          {
            "image": "https://images-na.ssl-images-amazon.com/images/I/51BFFMBUkSL._AC_US200_.jpg",
            "asin": "B013OVC61C"
          },
          {
            "image": "https://images-na.ssl-images-amazon.com/images/I/51q0c00pNjS._AC_US200_.jpg",
            "asin": "B013OVCTBO"
          },
          {
            "image": "https://images-na.ssl-images-amazon.com/images/I/51wF2m1GCXS._AC_US200_.jpg",
            "asin": "B013OVCIPG"
          },
          {
            "image": "https://images-na.ssl-images-amazon.com/images/I/61-3BcGxEdL._AC_US200_.jpg",
            "asin": "B089T5D32Y"
          },
          {
            "image": "https://images-na.ssl-images-amazon.com/images/I/51uV8IpcMfL._AC_US200_.jpg",
            "asin": "B005LVI7BM"
          },
          {
            "image": "https://images-na.ssl-images-amazon.com/images/I/612k-ArVCfL._AC_US200_.jpg",
            "asin": "B09GLQQGV7"
          },
          {
            "image": "https://images-na.ssl-images-amazon.com/images/I/51VJmrAnUjL._AC_US200_.jpg",
            "asin": "B00L4KVTKK"
          },
          {
            "image": "https://images-na.ssl-images-amazon.com/images/I/718a5YiuM6L._AC_US200_.jpg",
            "asin": "B07WX2NBWR"
          },
          {
            "image": "https://images-na.ssl-images-amazon.com/images/I/51aeNqjF1JL._AC_US200_.jpg",
            "asin": "B07668S975"
          },
          {
            "image": "https://images-na.ssl-images-amazon.com/images/I/51G46jFRZ8L._AC_US200_.jpg",
            "asin": "B0CTZY4J29"
          }
        ],
        "nodeLabelPathLocale": "工具:电气:输出设备:标准插座",
        "brands": 25,
        "marketplace": "US",
        "nodeLabelName": "Standard Outlets",
        "avgVolume": 81.24,
        "avgUnits": 1523,
        "baseAvgWeight": 552.42,
        "avgProfit": 59.01,
        "fbmProportion": 3,
        "searchToPurchaseRatio": 15.23324,
        "totalUnits": 152373,
        "baseAvgVolume": 1331.33,
        "avgReturnRatio": 6.1378,
        "ebcProportion": 91,
        "sellerProportion": 46,
        "topProducts": 100,
        "totalProducts": 2184,
        "avgSellers": 3.7,
        "ranking": 1,
        "avgWeight": 1.2179,
        "avgBsr": 17336,
        "nodeIdPath": "228013:495266:495334:6291365011",
        "nodeId": "6291365011",
        "sellers": 27
      }
    ],
    "columns": [
      {
        "filterable": true,
        "cellType": "text",
        "field": "marketplace",
        "sortable": true,
        "title": "市场标志"
      },
      {
        "filterable": true,
        "cellType": "text",
        "field": "currency",
        "sortable": true,
        "title": "该市场的货币类型"
      },
      {
        "filterable": true,
        "cellType": "text",
        "field": "nodeId",
        "sortable": true,
        "title": "节点ID"
      },
      {
        "filterable": true,
        "cellType": "text",
        "field": "nodeLabelName",
        "sortable": true,
        "title": "节点名称"
      },
      {
        "filterable": true,
        "cellType": "text",
        "field": "nodeIdPath",
        "sortable": true,
        "title": "节点ID路径"
      },
      {
        "filterable": true,
        "cellType": "text",
        "field": "nodeLabelPath",
        "sortable": true,
        "title": "节点名称路径"
      },
      {
        "filterable": true,
        "cellType": "text",
        "field": "nodeLabelLocale",
        "sortable": true,
        "title": "节点名称翻译"
      },
      {
        "filterable": true,
        "cellType": "text",
        "field": "nodeLabelPathLocale",
        "sortable": true,
        "title": "节点名称路径翻译"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "totalProducts",
        "sortable": true,
        "title": "商品总数"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "ranking",
        "sortable": true,
        "title": "排名"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "topProducts",
        "sortable": true,
        "title": "样本数量"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "brands",
        "sortable": true,
        "title": "品牌数量"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "sellers",
        "sortable": true,
        "title": "卖家数量"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "totalUnits",
        "sortable": true,
        "title": "月总销量"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "totalRevenue",
        "sortable": true,
        "title": "月总销售额"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "avgUnits",
        "sortable": true,
        "title": "月均销量"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "avgRevenue",
        "sortable": true,
        "title": "月均销售额"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "avgPrice",
        "sortable": true,
        "title": "平均价格"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "avgRatings",
        "sortable": true,
        "title": "平均评分数"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "avgRating",
        "sortable": true,
        "title": "平均评分值"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "avgBsr",
        "sortable": true,
        "title": "平均BSR"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "baseAvgVolume",
        "sortable": true,
        "title": "平均体积(cm³)"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "avgVolume",
        "sortable": true,
        "title": "平均体积(in³)"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "baseAvgWeight",
        "sortable": true,
        "title": "平均重量(g)"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "avgWeight",
        "sortable": true,
        "title": "平均重量(pound)"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "avgProfit",
        "sortable": true,
        "title": "平均利润率(%)"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "avgSellers",
        "sortable": true,
        "title": "平均卖家数"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "ebcProportion",
        "sortable": true,
        "title": "A+商品占比(%)"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "amazonSelfProportion",
        "sortable": true,
        "title": "Amazon自营占比(%)"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "fbaProportion",
        "sortable": true,
        "title": "FBA占比(%)"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "fbmProportion",
        "sortable": true,
        "title": "FBM占比(%)"
      },
      {
        "filterable": true,
        "cellType": "text",
        "field": "sellerNation",
        "sortable": true,
        "title": "最多卖家归属地 code"
      },
      {
        "filterable": true,
        "cellType": "text",
        "field": "sellerNationLabel",
        "sortable": true,
        "title": "最多卖家归属地 label"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "sellerProportion",
        "sortable": true,
        "title": "最多卖家归属地占比(%)"
      },
      {
        "filterable": true,
        "cellType": "text",
        "field": "top10Images",
        "sortable": true,
        "title": "前10商品图片"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "returnRatio",
        "sortable": true,
        "title": "退货率(%)"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "avgReturnRatio",
        "sortable": true,
        "title": "退货率类目平均值(%)"
      },
      {
        "filterable": true,
        "cellType": "number",
        "field": "searchToPurchaseRatio",
        "sortable": true,
        "title": "搜索购买比(千分比)"
      }
    ],
    "type": "tableListWorkbenches"
  }
}

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