Walmart Intelligence ST: walmart/keyword Research API

Use Walmart Intelligence ST: walmart/keyword Research API through Nexscope with documented parameters, structured results and API key authentication.

CostRecent Avg. 34 · Range 13–63 credits / call

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POST · https://api.nexscope.ai/st/walmart/keywordResearchMCP · nexscope_data_st_walmart_keyword_research

Walmart Intelligence ST

What this API does

Use Walmart Intelligence ST: walmart/keyword Research API through Nexscope with documented parameters, structured results and API key authentication. Its documented result includes errcode, errmsg, requestConsumed, costCredit, sourceType, marketQuery, searchByName, searchProducts.

Walmart Intelligence ST: walmart/keyword Research API API use cases

Build a keyword shortlist

To build a keyword shortlist, a marketplace analyst submits the operation-specific inputs to Walmart Intelligence ST: walmart/keyword Research API. The returned errcode, errmsg, requestConsumed help choose candidate search terms for further investigation.

Compare search demand signals

A marketplace analyst uses Walmart Intelligence ST: walmart/keyword Research API with the operation-specific inputs to compare search demand signals. The returned errcode, errmsg, requestConsumed help compare keyword demand within the requested market scope.

Plan a content or advertising test

For this workflow, a marketplace analyst calls Walmart Intelligence ST: walmart/keyword Research API with the operation-specific inputs to plan a content or advertising test. The result helps select terms for a content or advertising experiment.

Walmart Intelligence ST: walmart/keyword Research API API FAQ

What does the Walmart Intelligence ST: walmart/keyword Research API API return?

Use Walmart Intelligence ST: walmart/keyword Research API through Nexscope with documented parameters, structured results and API key authentication. The documented output includes errcode, errmsg, requestConsumed, costCredit, sourceType, marketQuery, searchByName, searchProducts. Optional fields can be absent; a missing value should not be interpreted as a measured zero. Example values illustrate the response shape, rather than live account results.

How many credits does the Walmart Intelligence ST: walmart/keyword Research API API cost?

The current documented cost is Recent Avg. 34 · Range 13–63 credits / call. This is the same cost shown at the top of this page. If a range or estimate is displayed, the final charge depends on the request. Review your available credits and the pricing page before calling the API, and check API usage records for the actual charge.

How do I call the Walmart Intelligence ST: walmart/keyword Research API API from my app or an MCP client?

Send a POST request to https://api.nexscope.ai/st/walmart/keywordResearch with your API key as a Bearer token and the JSON inputs shown in API integration. In a compatible MCP client such as Claude or Cursor, connect Nexscope and call nexscope_data_st_walmart_keyword_research. The same documented request parameters apply; use Online test to review a request before adding it to your app.

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Endpoint

https://api.nexscope.ai/st/walmart/keywordResearch

MCP method

nexscope_data_st_walmart_keyword_research

Step 1 of 3 · Authenticate

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 .

Step 2 of 3 · Send a request

POSThttps://api.nexscope.ai/st/walmart/keywordResearch

Run an API

Send a JSON request body using the parameters described below.

Example request

Replace YOUR_API_KEY, then run this command in your terminal.

curl -X POST 'https://api.nexscope.ai/st/walmart/keywordResearch' \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "operation": "marketQuery",
  "pageIndex": 1,
  "pageSize": 20,
  "pattern": {
    "keyword": "wireless"
  }
}'

Step 3 of 3 · Inspect the result

Check the response

Read code for the request status and data for the result. Open the parameter and response reference for the full field definitions.

HTTP 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.

View parameters & response Try online

All categories/ Walmart Intelligence ST

POSThttps://api.nexscope.ai/st/walmart/keywordResearch

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/st/walmart/keywordResearch`
Auth	`Bearer API key`
Content-Type	`application/json`

Request parameters

No required request fields are defined for this API.

Code example

{
  "operation": "marketQuery",
  "pageIndex": 1,
  "pageSize": 20,
  "pattern": {
    "keyword": "wireless"
  }
}

Response example

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

{
  "code": 0,
  "cost": "-1",
  "data": {},
  "msg": null,
  "time": "2026-01-01 00:00:00",
  "traceId": null,
  "ts": "0"
}

Response fields

Response field reference (73 fields)

Name	Type	Required	Description
`errcode`	`integer`	optional	Gateway framework layer status code; `200` indicates that the request successfully entered the business response
`errmsg`	`string`	optional	Gateway framework layer status message; typically `ok` on success
`code`	`integer`	optional	`200` indicates success
`msg`	`string`	optional	Response message; when there is no data, it may be "query successful, but no data"
`data`	`object`	optional	Fixed response container; actual business results are in `data.value`
`operation`	`string`	optional	The actual operation performed this time
`requestConsumed`	`integer`	optional	This upstream consumption; when the upstream is missing or returns 0, it is completed according to the document consumption of the operation; when ST explicitly returns `Code=11`, it remains 0
`costTime`	`integer`	optional	Time taken, unit is milliseconds
`costToken`	`integer / absent`	optional	Production gateway response header `X-Cost-Token`; the entry script will be copied to this field, and this field is currently missing when parsing the JSON body directly.
`costCredit`	`integer / absent`	optional	Production gateway response header `X-Cost-Credit`, which is the actual computing power deducted this time; the entry script will be copied to this field
`sourceType`	`string`	optional	`st`
`marketQuery`	`array<object>`	optional	keyword summary array
`searchByName`	`array<object>`	optional	Keyword summary array related to product or category name
`searchProducts`	`array<object>`	optional	Product summary array in search results for the keyword in the past 15 days
`detail`	`object`	optional	Single keyword summary object
`productKeywords`	`array<object>`	optional	Records of the keywords that the product has been exposed on the first three pages of search results in the past 30 days
`relatedKeywords`	`array<object>`	optional	Related keyword summary array
`favoriteAdd`	`integer`	optional	Favorite result code
`favoriteChange`	`integer`	optional	Delete or move result codes
`favoriteList`	`array<string>`	optional	Array of keywords or directory names, the specific content is determined by `command`
`Keyword`	`string`	optional	keywords
`KeywordCNName`	`string`	optional	Keyword Chinese name
`Images`	`array<string>`	optional	Keyword search results Top 10 product image URL
`Update`	`string`	optional	Keyword last updated time, usually `yyyyMMdd`
`Rank`	`integer`	optional	Weekly search ranking
`SearchVolume`	`number`	optional	Last 30 days search volume; may be transmitted by upstream as a JSON number with decimals
`ProductCount`	`integer`	optional	Number of competing products displayed on Walmart search page
`SearchFirstPageAvgPrice`	`integer`	optional	The average price of natural products on the first page of search results; the unit on the US site is cents
`SearchFirstPageAvgReviews`	`number`	optional	Average number of reviews for natural products on the first page of search results
`SearchFirstPageAvgStar`	`number`	optional	Average rating of natural products on the first page of search results
`ShowShare`	`number`	optional	The proportion of exposure traffic this keyword brings to the product
`RecentlyPosition`	`string`	optional	The most recently exposed position, such as `1,2/18` means page 1, position 2, 18 positions in total
`OrganicPosition`	`string`	optional	The most recent natural exposure position, the encoding is the same as `RecentlyPosition`
`AdPosition`	`string`	optional	The most recent ad exposure position, coded the same as `RecentlyPosition`
`Keyword`	`object`	optional	Complete keyword summary object; see "Keyword Summary Field" for fields
`Title`	`string`	optional	Product title
`Photo`	`array<string>`	optional	Product image URL array
`ListingSalesVolumeOfMonth`	`integer`	optional	Estimated sales volume in the last 30 days in the Listing dimension, without distinguishing between variants
`ListingSalesOfMonth`	`integer`	optional	Estimated sales in the past 30 days in the Listing dimension; the unit for the US site is cents
`ProductId`	`string`	optional	Walmart ProductId
`ParentProductId`	`string`	optional	Parent product ProductId
`Price`	`integer`	optional	Selling price; the US site unit is cents, such as `1999` means `$19.99`
`Brand`	`string`	optional	brand
`Seller`	`string`	optional	Seller name at the time of collection
`Shipedby`	`string`	optional	The delivery method at the time of collection; the field name is the original spelling of the upstream
`WFSFee`	`integer`	optional	WFS fee; US site unit is cents
`Attribute`	`array<string> / null`	optional	Product attributes, interleaved encoding according to `[attribute name, attribute value, ...]`
`FirstReviewsDate`	`string / null`	optional	Date of first comment in the format `yyyy-MM-dd`
`ReviewsCount`	`integer`	optional	Number of comments
`Ratings`	`number`	optional	Rating, like `4.8`
`NodePath`	`array<string\\|null>`	optional	Category and ranking records are grouped and coded according to `[category name, NodeId, ranking date, ranking, ...]`; when the ranking on a certain day is missing, the corresponding position is `null`
`Label`	`array<string>`	optional	Product tags, such as `pickup`, `savewith`, `bestsell`
`PopularPick`	`integer`	optional	Popular Pick tag; `1` indicates existence
`Clearance`	`integer`	optional	Clearance tag; `1` indicates existence
`ReducedPrice`	`integer`	optional	Reduced Price tag; `1` indicates existence
`Rollback`	`integer`	optional	Rollback token; `1` indicates existence
`FlashDeal`	`integer`	optional	Flash Deal tag; `1` indicates existence
`Size`	`array<string> / null`	optional	Outer packaging size `[longest side, second longest side, shortest side]`, unit is cm
`Weight`	`number`	optional	Product weight in grams
`Variants`	`array<object> / null`	optional	Variation list, fields are shown in the table below
`NumberOfStar`	`array<number\\|string> / null`	optional	The number of reviews for each star rating, according to `[star rating, number of reviews, ...]` staggered coding
`VariantId`	`string`	optional	Variant ProductId
`Url`	`string`	optional	Variant product URL
`Property`	`array<string>`	optional	Variant attributes, encoded by `[attribute name, attribute value, ...]`
`PriceUpdate`	`string / null`	optional	Price update time, usually `yyyy-MM-dd`
`DetailUpdate`	`string / null`	optional	Details update time, usually `yyyy-MM-dd`; when there is no valid date, upstream placeholders such as `--` may be used
`operation`	`data.value`	optional	Description
`favoriteAdd`	`0`	optional	Collection successful
`favoriteAdd`	`1`	optional	Keyword already exists
`favoriteAdd`	`9`	optional	Collection failed
`favoriteChange`	`0`	optional	Delete or move successfully
`favoriteChange`	`9`	optional	Keyword does not exist
`favoriteList`	`array<string>`	optional	`dict` returns the directory name; `all` or `dict=<directory>` returns the keyword

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.

Step 1 of 2 · Connect your MCP client

MCP

V2 recommended

Connect remote agents through the standard MCP 2025-11-25 Streamable HTTP endpoint. Use OAuth 2.1 Authorization Code with PKCE, or an API key for compatibility.

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

Authentication

OAuth clients request the mcp:tools scope. The endpoint's 401 response advertises protected-resource metadata for authorization discovery.

Step 2 of 2 · Call the tool

Call a tool

{
  "jsonrpc": "2.0",
  "id": "tool-call-1",
  "method": "tools/call",
  "params": {
    "name": "nexscope_data_st_walmart_keyword_research",
    "arguments": {
      "operation": "marketQuery",
      "pageIndex": 1,
      "pageSize": 20,
      "pattern": {
        "keyword": "wireless"
      }
    }
  }
}

Legacy MCP v1

Existing API-key clients can continue using the compatibility endpoint. New integrations should use MCP v2.

GET / POST /mcp/legacy

Online test

Execute the current API with your API key and JSON payload. Online tests use this site's configured API environment; the Endpoint and copyable examples use the public integration address.

At least 10 credits / callAPI usage records

Try it

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

Endpoint

/st/walmart/keywordResearch

MCP method

nexscope_data_st_walmart_keyword_research

API key*

JSON payload*

cURL

curl -X POST \
  https://api.nexscope.ai/st/walmart/keywordResearch \
  -H "Authorization: Bearer nk-..." \
  -H "Content-Type: application/json" \
  -d '{ "operation": "marketQuery", "pageIndex": 1, "pageSize": 20, "pattern": { "keyword": "wireless" } }'

Response

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

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Walmart Intelligence ST: walmart/product Analysis API

Use Walmart Intelligence ST: walmart/product Analysis API through Nexscope with documented parameters, structured results and API key authentication.

What this API does

Walmart Intelligence ST: walmart/keyword Research API API use cases

Build a keyword shortlist

Compare search demand signals

Plan a content or advertising test

Walmart Intelligence ST: walmart/keyword Research API API FAQ

What does the Walmart Intelligence ST: walmart/keyword Research API API return?

How many credits does the Walmart Intelligence ST: walmart/keyword Research API API cost?

How do I call the Walmart Intelligence ST: walmart/keyword Research API API from my app or an MCP client?

Authentication

Run an API

Example request

Check the response

HTTP status codes

Run this API

Endpoint

Request parameters

Code example

Response example

Response fields

Responses

Data source, freshness, and limitations

MCP

Call a tool

Legacy MCP v1

Online test

Try it

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