Amazon Marketplace Intelligence
Amazon Product Research Directory MCP Tool
Use this directory to find the concrete API for a research goal. It returns links and typical inputs; invoke the linked API for the actual research data.
MCP tool name
nexscope_amazon_product_researchLegacy MCP endpoint
/api/skill-api/v1/mcpJSON-RPC method
tools/callAuthentication
Send the user API key as a bearer token on every MCP JSON-RPC request.
Authorization: Bearer nk-xxxxxxxxxxxxxxxxxIf authentication is missing or invalid, ask the user to open API Access and copy a valid key before calling this tool.
Call this MCP tool
Use tools/call with the MCP tool name below. The arguments object should match the table on this page.
{
"jsonrpc": "2.0",
"id": "amazon-product-research-1",
"method": "tools/call",
"params": {
"name": "nexscope_amazon_product_research",
"arguments": {
"goal": "all"
}
}
}Legacy endpoint
POST /api/skill-api/v1/mcpCanonical detail URL
https://www.nexscope.ai/mcp-map/amazon-product-researchArguments
| Name | Type | Required | Meaning |
|---|---|---|---|
goal | string | optional | Optional filter: all, search, detail, reviews, image-search, opportunity, keyword, price-history, or sales-estimates. Example: all |
Response fields
Treat structuredContent as the programmatic API response payload.
| 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 — requires directoryType, goal, count, recommendedApis, recommendedApis[].operation, recommendedApis[].slug, recommendedApis[].endpoint, recommendedApis[].reason, recommendedApis[].typicalFields, recommendedApis[].requestExample, usage
| Name | Type | Required | Description |
|---|---|---|---|
data | object | required | Data value used by this API operation. |
data.directoryType | string | required | Identifies this response as an API directory, not a research result. Example: amazon-product-research-directory |
data.goal | string | required | Applied directory filter. Example: all |
data.count | integer | required | Number of concrete API entries returned. Example: 33 |
data.recommendedApis | array | required | Concrete APIs that execute the selected research operation. Example: [] |
data.recommendedApis[].operation | string | required | Original Skill operation name. Example: amazon_search |
data.recommendedApis[].slug | string | required | Concrete Skill API slug to invoke. Example: amazon-search |
data.recommendedApis[].endpoint | string | required | Concrete Skill API run endpoint. Example: /api/skill-api/v1/skills/amazon-search/run |
data.recommendedApis[].reason | string | required | What the concrete API executes. Example: Search Amazon storefront results by keyword. |
data.recommendedApis[].typicalFields | array | required | Typical inputs for navigation; the linked API schema is authoritative. Example: ["keyword","marketplace"] |
data.recommendedApis[].requestExample | object | required | Example request for the concrete API. Example: {"keyword":"wireless speaker","marketplace":"US"} |
data.usage | string | required | Next step for callers. Example: Invoke one recommended API directly for the actual research result. |
data.type | string | optional | Provider-specific render or payload type. Example: null |
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.costToken | integer | optional | Token cost reported by the upstream provider. 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. |
Examples
Example arguments
{
"goal": "all"
}Example structuredContent
{
"data": {
"directoryType": "amazon-product-research-directory",
"goal": "all",
"count": 33,
"recommendedApis": [
{
"operation": "amazon_search",
"typicalFields": [
"keyword",
"marketplace"
],
"requestExample": {
"keyword": "wireless speaker",
"marketplace": "US"
},
"reason": "Search Amazon storefront results by keyword.",
"endpoint": "/api/skill-api/v1/skills/amazon-search/run",
"slug": "amazon-search"
},
{
"operation": "amazon_alexa_search",
"typicalFields": [
"keyword",
"marketplace"
],
"requestExample": {
"keyword": "wireless speaker",
"marketplace": "US"
},
"reason": "Search Amazon Alexa ranking and product results.",
"endpoint": "/api/skill-api/v1/skills/amazon-alexa-search/run",
"slug": "amazon-alexa-search"
}
],
"usage": "Invoke one recommended API directly for the actual research result."
},
"code": 0,
"msg": null,
"ts": "0",
"time": "2026-01-01 00:00:00",
"cost": "-1",
"traceId": null
}