Amazon Market Research API

REST API and MCP service documentation generated from server-side API definitions. Responses use the shared code, msg, and data envelope.

API selector

Amazon Marketplace Intelligence

API overview

Evaluate Amazon niches by market size, competition, concentration, seller structure, new-product share, price, rating, and margin ranges.

Try this API

Endpoint

https://api.nexscope.ai/api/skill-api/v1/skills/amazon-market-research/run

MCP method

nexscope_amazon_market_research

Authentication

All run endpoints require a user API key. Send it as a bearer token in the Authorization header.

Authorization: Bearer nk-xxxxxxxxxxxxxxxxx

Missing or invalid API keys return an authentication error. Manage keys from .

POSThttps://api.nexscope.ai/api/skill-api/v1/skills/amazon-market-research/run

Run an API

Request parameters documented by ecommerce.amazon-market-research.

Slug	`amazon-market-research`
Headers	`Authorization: Bearer nk-...` `Content-Type: application/json`
Request body	API-specific JSON object.
Response body	Platform envelope: code, msg, data, ts, time, cost, traceId. Inspect data.status for asynchronous completion.

Status codes

Code	Description
200	HTTP request completed. Check JSON code; only 0 indicates business success or acceptance.
400	Request JSON or required API parameters are invalid.
401	API key is missing, invalid, or cannot be matched to a user.
5xx	API execution or upstream service failed.

Example request

curl -X POST https://api.nexscope.ai/api/skill-api/v1/skills/amazon-market-research/run \
  -H "Authorization: Bearer nk-xxxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{   "page": 1,   "departmentKeyword": "phone case",   "newProduct": 1,   "size": 1,   "marketplace": "US",   "topNum": 1 }'

All categories/ Amazon Marketplace Intelligence

POSThttps://api.nexscope.ai/api/skill-api/v1/skills/amazon-market-research/run

Run this API

Send a JSON request to execute this API and receive the documented response payload.

Open tester

Endpoint

Method	`POST`
Path	`https://api.nexscope.ai/api/skill-api/v1/skills/amazon-market-research/run`
Auth	`Bearer API key`
Content-Type	`application/json`

Request body

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 Seller Sprite table 1.3 for values
`newProduct`	`integer`	optional	New product definition (months) Example: 1
`topNum`	`integer`	optional	Top Listing count Example: 1
`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: 1
`orderField`	`string`	optional	Sort field, see [orderField](#orderfield-options)
`orderDesc`	`boolean`	optional	true descending, false ascending Example: false
`minAvgRevenue/maxAvgRevenue`	`number`	optional	Minimum / maximum average monthly sales revenue Example: 1
`minAvgUnits/maxAvgUnits`	`integer`	optional	Minimum / maximum average monthly sales volume Example: 1
`minGoodsCount/maxGoodsCount`	`integer`	optional	Minimum / maximum product count Example: 1
`minSellers/maxSellers`	`integer`	optional	Minimum / maximum seller count Example: 1
`minBrands/maxBrands`	`integer`	optional	Minimum / maximum brand count Example: 1
`minAvgSellers/maxAvgSellers`	`number`	optional	Minimum / maximum average seller count Example: 1
`minGoodsCrn/maxGoodsCrn`	`number`	optional	Minimum / maximum product concentration (decimal 0-1) Example: 1
`minSellerCrn/maxSellerCrn`	`number`	optional	Minimum / maximum seller concentration (decimal 0-1) Example: 1
`minBrandCrn/maxBrandCrn`	`number`	optional	Minimum / maximum brand concentration (decimal 0-1) Example: 1
`minAmazonSelfProportion/maxAmazonSelfProportion`	`number`	optional	Minimum / maximum Amazon self-operated share (decimal 0-1) Example: 1
`minFbaProportion/maxFbaProportion`	`number`	optional	Minimum / maximum FBA share (decimal 0-1) Example: 1
`minFbmProportion/maxFbmProportion`	`number`	optional	Minimum / maximum FBM share (decimal 0-1) Example: 1
`minEbcProportion/maxEbcProportion`	`number`	optional	Minimum / maximum A+ share (decimal 0-1) Example: 1
`minNewProportion/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/maxAvgPrice`	`number`	optional	Minimum / maximum average price Example: 1
`minAvgRating/maxAvgRating`	`number`	optional	Minimum / maximum average rating value Example: 1
`minAvgRatings/maxAvgRatings`	`integer`	optional	Minimum / maximum average review count Example: 1
`minAvgProfit/maxAvgProfit`	`number`	optional	Minimum / maximum average gross margin (input N means N%, 0-100) Example: 1
`minAvgBsr/maxAvgBsr`	`integer`	optional	Minimum / maximum average BSR rank Example: 1
`minNewCount/maxNewCount`	`integer`	optional	Minimum / maximum new product count Example: 1
`minNewAvgPrice/maxNewAvgPrice`	`number`	optional	Minimum / maximum new product average price Example: 1
`minNewAvgRating/maxNewAvgRating`	`number`	optional	Minimum / maximum new product average star rating Example: 1
`minNewAvgRatings/maxNewAvgRatings`	`integer`	optional	Minimum / maximum new product average review count Example: 1
`minNewAvgUnits/maxNewAvgUnits`	`number`	optional	Minimum / maximum new product average monthly sales Example: 1
`minNewAvgRevenue/maxNewAvgRevenue`	`number`	optional	Minimum / maximum new product average monthly revenue Example: 1
`minTopAvgUnits/maxTopAvgUnits`	`integer`	optional	Minimum / maximum top listing average monthly sales Example: 1
`minTopAvgRevenue/maxTopAvgRevenue`	`number`	optional	Minimum / maximum top listing average monthly revenue Example: 1
`minTopAvgBsr/maxTopAvgBsr`	`integer`	optional	Minimum / maximum top listing average BSR Example: 1
`minWeight/maxWeight`	`number`	optional	Minimum / maximum weight Example: 1
`minVolume/maxVolume`	`number`	optional	Minimum / maximum volume Example: 1

Request example

{
  "page": 1,
  "departmentKeyword": "phone case",
  "newProduct": 1,
  "size": 1,
  "marketplace": "US",
  "topNum": 1
}

Response body

Name	Type	Required	Description
`data`	`any`	required	Data value used by this API operation.
`code`	`integer`	required	0 means accepted or successful; nonzero is a platform error.
`msg`	`string \| null`	required	Msg value used by this API operation.
`ts`	`string`	required	Epoch milliseconds.
`time`	`string`	required	Server local time: yyyy-MM-dd HH:mm:ss.
`cost`	`string`	required	Elapsed milliseconds, never credits; -1 outside web requests.
`traceId`	`string \| null`	required	Trace id value used by this API operation.

Any of option 1

Name	Type	Required	Description
`data`	`object`	required	Data value used by this API operation.
`data.total`	`integer`	optional	Total record count Example: 1
`data.marketplace`	`string`	optional	Site code Example: US
`data.data`	`array`	optional	Category market list (corresponds to third-party data.items) Example: []
`data.columns`	`array`	optional	Render columns Example: []
`data.costToken`	`integer`	optional	Tokens consumed Example: 1
`data.type`	`string`	optional	Render style Example: null
`data.data[].nodeId`	`string`	optional	Node ID Example: example-id
`data.data[].nodeIdPath`	`string`	optional	Node ID path Example: null
`data.data[].nodeLabelName`	`string`	optional	Node name Example: null
`data.data[].nodeLabelPath`	`string`	optional	Node name path Example: null
`data.data[].nodeLabelLocale`	`string`	optional	Node name translation Example: null
`data.data[].nodeLabelPathLocale`	`string`	optional	Node name path translation Example: null
`data.data[].marketplace`	`string`	optional	Market identifier Example: US
`data.data[].currency`	`string`	optional	Currency type for this market Example: null
`data.data[].ranking`	`integer`	optional	Rank Example: 1
`data.data[].totalProducts`	`integer`	optional	Total product count Example: 1
`data.data[].topProducts`	`integer`	optional	Sample count Example: 1
`data.data[].sellers`	`integer`	optional	Seller count Example: 1
`data.data[].brands`	`integer`	optional	Brand count Example: 1
`data.data[].avgSellers`	`number`	optional	Average seller count Example: 1
`data.data[].avgUnits`	`integer`	optional	Average monthly sales volume Example: 1
`data.data[].totalUnits`	`integer`	optional	Total monthly sales volume Example: 1
`data.data[].avgRevenue`	`number`	optional	Average monthly sales revenue Example: 1
`data.data[].totalRevenue`	`number`	optional	Total monthly sales revenue Example: 1
`data.data[].avgPrice`	`number`	optional	Average price Example: 1
`data.data[].avgRating`	`number`	optional	Average rating value Example: 1
`data.data[].avgRatings`	`integer`	optional	Average review count Example: 1
`data.data[].avgBsr`	`integer`	optional	Average BSR Example: 1
`data.data[].avgProfit`	`number`	optional	Average profit margin (%) Example: 1
`data.data[].fbaProportion`	`number`	optional	FBA share (%) Example: 1
`data.data[].fbmProportion`	`number`	optional	FBM share (%) Example: 1
`data.data[].amazonSelfProportion`	`number`	optional	Amazon self-operated share (%) Example: 1
`data.data[].ebcProportion`	`number`	optional	A+ product share (%) Example: 1
`data.data[].returnRatio`	`number`	optional	Return rate (%) Example: 1
`data.data[].avgReturnRatio`	`number`	optional	Category average return rate (%) Example: 1
`data.data[].searchToPurchaseRatio`	`number`	optional	Search-to-purchase ratio (per mille) Example: 1
`data.data[].sellerNation`	`string`	optional	Most common seller location code Example: null
`data.data[].sellerNationLabel`	`string`	optional	Most common seller location label Example: null
`data.data[].sellerProportion`	`number`	optional	Most common seller location share (%) Example: 1
`data.data[].avgWeight`	`number`	optional	Average weight (pound) Example: 1
`data.data[].baseAvgWeight`	`number`	optional	Average weight (g) Example: 1
`data.data[].avgVolume`	`number`	optional	Average volume (in³) Example: 1
`data.data[].baseAvgVolume`	`number`	optional	Average volume (cm³) Example: 1
`data.data[].top10Images`	`array`	optional	Top 10 product images, elements see table below Example: []
`data.top10images[].image`	`string`	optional	Image link Example: https://example.com/image.jpg
`data.top10images[].asin`	`string`	optional	ASIN Example: B072MQ5BRX
`data.title`	`string`	optional	Provider-specific response title. Example: null
`data.sourceType`	`string`	optional	Provider-specific source platform type. Example: null
`data.sourceTool`	`string`	optional	Provider-specific source tool name. Example: null
`data.costTime`	`integer`	optional	Execution time reported by the upstream provider. Example: null
`data.page`	`integer`	optional	Current page returned by the upstream provider. Example: null
`data.pageSize`	`integer`	optional	Page size returned by the upstream provider. Example: null
`data.pageItemCount`	`integer`	optional	Item count on the current page returned by the upstream provider. Example: null
`data.totalPage`	`integer`	optional	Total page count returned by the upstream provider. Example: null
`data.dataSnapshotMonth`	`string`	optional	Data snapshot month returned by the upstream provider. Example: null

Any of option 2

Name	Type	Required	Description
`data`	`null`	required	Data value used by this API operation.

Response example

Platform response envelope. code 0 indicates success or acceptance; data contains the business result.

{
  "data": {
    "total": 1,
    "marketplace": "US",
    "data": [
      {
        "nodeId": "example-id",
        "marketplace": "US",
        "ranking": 1,
        "totalProducts": 1,
        "topProducts": 1,
        "sellers": 1,
        "brands": 1,
        "avgSellers": 1,
        "avgUnits": 1,
        "totalUnits": 1,
        "avgRevenue": 1,
        "totalRevenue": 1,
        "avgPrice": 1,
        "avgRating": 1,
        "avgRatings": 1,
        "avgBsr": 1,
        "avgProfit": 1,
        "fbaProportion": 1,
        "fbmProportion": 1,
        "amazonSelfProportion": 1,
        "ebcProportion": 1,
        "returnRatio": 1,
        "avgReturnRatio": 1,
        "searchToPurchaseRatio": 1,
        "sellerProportion": 1,
        "avgWeight": 1,
        "baseAvgWeight": 1,
        "avgVolume": 1,
        "baseAvgVolume": 1,
        "top10Images": []
      }
    ],
    "columns": [],
    "costToken": 1,
    "top10images": [
      {
        "image": "https://example.com/image.jpg",
        "asin": "B072MQ5BRX"
      }
    ]
  },
  "code": 0,
  "msg": null,
  "ts": "0",
  "time": "2026-01-01 00:00:00",
  "cost": "-1",
  "traceId": null
}

Responses

Code	Description
200	HTTP request completed. Check JSON code; only 0 indicates business success or acceptance.
400	Request JSON or required API parameters are invalid.
401	API key is missing, invalid, or cannot be matched to a user.
5xx	API execution or upstream service failed.

Data source, freshness, and limitations

Source, freshness, coverage, rate limits, and estimation notes are not specified in this API definition unless they appear in the request or response field documentation above. Do not assume official marketplace data or real-time freshness when it is not explicitly documented.

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MCP

Use the MCP endpoint when an agent needs to discover and call API tools with JSON-RPC.

GET /api/skill-api/v1/mcp

POST /api/skill-api/v1/mcp
Authorization: Bearer nk-xxxxxxxxxxxxxxxxx
Content-Type: application/json

Call a tool

{
  "jsonrpc": "2.0",
  "id": "tool-call-1",
  "method": "tools/call",
  "params": {
    "name": "nexscope_amazon_market_research",
    "arguments": {
      "page": 1,
      "departmentKeyword": "phone case",
      "newProduct": 1,
      "size": 1,
      "marketplace": "US",
      "topNum": 1
    }
  }
}

Online test

Execute the current API with your API key and JSON payload.

21 credits / callAPI usage records

Try it

Send a real request with the same contract shown in the reference.

Endpoint

https://api.nexscope.ai/api/skill-api/v1/skills/amazon-market-research/run

MCP method

nexscope_amazon_market_research

API key*

JSON payload*

cURL

curl -X POST \
  https://api.nexscope.ai/api/skill-api/v1/skills/amazon-market-research/run \
  -H "Authorization: Bearer nk-..." \
  -H "Content-Type: application/json" \
  -d '{ "page": 1, "departmentKeyword": "phone case", "newProduct": 1, "size": 1, "marketplace": "US", "topNum": 1 }'

Response

No response yet. Run the request to see the response here.