Amazon Alexa Search

Ask Amazon storefront Alexa for shopping guidance, recommended product groups, ASIN lists, and follow-up questions. Available via REST API or MCP.

CostRecent 27 credits / call

Try online

POST · https://api.nexscope.ai/amazon/alexaSearchMCP · nexscope_amazon_alexa_search

What this API does

Ask Amazon storefront Alexa for shopping guidance, recommended product groups, ASIN lists, and follow-up questions. The request accepts prompts, format, url. Its documented result includes stdout, resultsNum, errcode, prompt, content, screenshot, followUpQuestions, products.

Amazon Alexa Search API use cases

Find products matching a sourcing brief

To find products matching a sourcing brief, a marketplace analyst submits prompts and format to Amazon Alexa Search. The returned stdout, resultsNum, errcode help identify products matching the requested search criteria.

Compare a product search shortlist

A marketplace analyst uses Amazon Alexa Search with prompts and format to compare a product search shortlist. The returned stdout, resultsNum, errcode help compare candidates before requesting individual product details.

Collect candidates for a market review

For this workflow, a marketplace analyst calls Amazon Alexa Search with prompts and format to collect candidates for a market review. The result helps choose products for a supplier or competitor review.

Amazon Alexa Search API FAQ

What does the Amazon Alexa Search API return?

Ask Amazon storefront Alexa for shopping guidance, recommended product groups, ASIN lists, and follow-up questions. The documented output includes stdout, resultsNum, errcode, prompt, content, screenshot, followUpQuestions, products. It corresponds to the supplied prompts, format, url. 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 Amazon Alexa Search API cost?

The current documented cost is Recent 27 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 Amazon Alexa Search API from my app or an MCP client?

Send a POST request to https://api.nexscope.ai/amazon/alexaSearch 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_amazon_alexa_search. Use the MCP arguments shown in the MCP guide, or switch Online test to MCP to review its request before adding it to your app.

View plans and credits Connect this API with MCP

Try this API

Endpoint

https://api.nexscope.ai/amazon/alexaSearch

MCP method

nexscope_amazon_alexa_search

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/amazon/alexaSearch

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/amazon/alexaSearch' \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "format": "json",
  "prompts": [
    "best wireless earbuds for running"
  ]
}'

Code example

{
  "format": "json",
  "prompts": [
    "best wireless earbuds for running"
  ]
}

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	Default HTTP response for both success and many business errors. Only outer JSON code 0 indicates success or asynchronous acceptance; inspect data for the result.
429	Execution admission rate limit; honor Retry-After when present.
503	Execution admission is temporarily unavailable; honor Retry-After when present.
Opt-in	X-Nexscope-Http-Status: semantic maps controller-handled business errors to HTTP status on run and task routes. Pre-authentication failures, such as a missing or invalid API key (code 11209, including an incomplete or corrupted copy) or an expired website login session (code 12001), may still return HTTP 200 before this mapping. Always check the outer JSON code; malformed requests and infrastructure failures may also return non-200 HTTP responses.

View parameters & response Try online

All categories/ Amazon Public Marketplace Data

POSThttps://api.nexscope.ai/amazon/alexaSearch

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/amazon/alexaSearch`
Auth	`Bearer API key`
Content-Type	`application/json`

Request parameters

Name	Type	Required	Description
`format`	`string`	optional	Response format: `markdown` returns a readable report; `json` returns a structured data array. Default: markdown
`prompts`	`array`	required	An array of dialogue prompts with a length within 255 characters, only 1 is supported; only 1 question can be passed in for each call. When asking across times, the agent needs to summarize the context of the previous round and pass it in as a new `prompts[0]`.
`prompts[]`	`string`	required	An array of dialogue prompts with a length within 255 characters, only 1 is supported; only 1 question can be passed in for each call. When asking across times, the agent needs to summarize the context of the previous round and pass it in as a new `prompts[0]`.
`url`	`string`	optional	A specific category page, search results page, or product detail page URL that is used to supplement the Alexa page context; do not pass the Amazon homepage URL.

Response example

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

No response example is published for this API. Refer to the response fields below.

Response fields

Response field reference (24 fields)

Name	Type	Required	Description
`stdout`	`string`	optional	Markdown format Q&A report, containing each round's user question, Alexa answer, recommended products, and follow-up questions; only returned when format=markdown
`data`	`array`	optional	Structured conversation result array; only returned when format=json
`resultsNum`	`integer`	optional	Number of conversation rounds Alexa actually answered; 0 means no valid response was produced
`code`	`string`	optional	Business status code, successful is `"200"`, the same as the numerical version of `errcode`.
`errcode`	`integer`	optional	Business status code, `200` indicates success.
`costTime`	`integer`	optional	API latency in milliseconds
`costToken`	`integer`	optional	Tokens consumed by this call; charged only if upstream succeeds
`taskId`	`string`	optional	Task identifier returned by upstream
`type`	`string`	optional	Render style: stdoutWorkbenches (markdown) or json
`prompt`	`string`	optional	Prompt sent to Alexa for this round
`content`	`string`	optional	Text content of Alexa's response for this round
`screenshot`	`string`	optional	Screenshot link for this round's conversation
`followUpQuestions`	`string[]`	optional	List of follow-up questions recommended by Alexa
`products`	`array`	optional	Recommended product group list, each group containing title and items
`products[].title`	`string`	optional	Recommended group title
`products[].items[].asin`	`string`	optional	Product ASIN
`products[].items[].title`	`string`	optional	Product title
`products[].items[].url`	`string`	optional	Product detail page URL
`products[].items[].cover`	`string`	optional	Product cover image URL
`products[].items[].price`	`string`	optional	Current price (with currency)
`products[].items[].originalPrice`	`string`	optional	Original or strikethrough price
`products[].items[].score`	`string`	optional	Rating
`products[].items[].ratingsCount`	`string`	optional	Review count
`products[].items[].describe`	`string`	optional	Product description

Responses

Code	Description
200	Default HTTP response for both success and many business errors. Only outer JSON code 0 indicates success or asynchronous acceptance; inspect data for the result.
429	Execution admission rate limit; honor Retry-After when present.
503	Execution admission is temporarily unavailable; honor Retry-After when present.
Opt-in	X-Nexscope-Http-Status: semantic maps controller-handled business errors to HTTP status on run and task routes. Pre-authentication failures, such as a missing or invalid API key (code 11209, including an incomplete or corrupted copy) or an expired website login session (code 12001), may still return HTTP 200 before this mapping. Always check the outer JSON code; malformed requests and infrastructure failures may also return non-200 HTTP responses.

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_amazon_alexa_search",
    "arguments": {
      "format": "markdown",
      "prompts": [
        "What are good phone cases for iPhone?"
      ]
    }
  }
}

Legacy MCP v1

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

GET / POST /mcp/legacy

What can you do with this API?

Data explained and practical use cases

AI Guide

Question

What data can Amazon Alexa Search provide, and how might I use it?

AI answer

Amazon Alexa Search asks one shopping question per call and returns Alexa's answer with any product groups and suggested follow-up questions. Use format=json for structured results or the default Markdown report for a readable response. Each call is an independent session.

Data category	Documented fields	What the values mean
Shopping answer	`prompt`, `content`, `stdout`	The question and Alexa's answer in structured output, or a readable Q&A report when `format=markdown`.
Product groups	`products[].title`, `products[].items[].asin`, `products[].items[].title`	Suggested groups and the identities of products within them.
Product details	`products[].items[].url`, `products[].items[].cover`, `products[].items[].describe`	Product page, cover image, and description when available.
Shopping signals	`products[].items[].price`, `products[].items[].originalPrice`, `products[].items[].score`, `products[].items[].ratingsCount`	Reported price, comparison price, rating, and rating count; these are observations in the response, not guaranteed current values.
Further exploration	`followUpQuestions`, `resultsNum`	Suggested next questions and the number of rounds actually answered; `0` means no valid response.

Ask for phone case suggestions and review the returned product groups and ASINs.
- Prompt example: “Ask Alexa for protective iPhone 15 cases under $20. Show the product groups and ASINs it actually returns, and ask me for a marketplace if the request needs one.”
Compare the reported ratings and prices of products Alexa recommends for a shopping need.
- Prompt example: “Ask Alexa for a compact air fryer. Compare the returned prices, ratings, and review counts of its recommendations in a table; leave unavailable values blank.”
Open a returned product URL to investigate a promising suggestion further.
- Prompt example: “Ask Alexa for a budget desk lamp. Give me the returned product names and URLs so I can inspect the listings myself.”
Take a suggested followUpQuestions item, include relevant context from the previous answer, and submit it as a new one-question call.
- Prompt example: “Ask Alexa for a coffee maker for a small kitchen. If it suggests a follow-up question, turn that into a new standalone question that repeats my shopping need, send it as a separate call, and summarize both answers.”

Data Example

Sample request and response

Request parameters

{
  "prompts": [
    "Recommend one inexpensive kitchen product."
  ],
  "format": "json"
}

Response

{
  "code": 0,
  "msg": null,
  "data": {
    "data": [
      {
        "screenshot": "https://image-alexa.datasea.network/screenshots/1793163726656-81dd8dab18c0fd9f-0.png",
        "prompt": "Recommend one inexpensive kitchen product.",
        "content": "Here's a great pick that's endlessly useful in the kitchen:\n\nAt just $13.95, it's one of those tools you'll reach for constantly. Want more affordable kitchen suggestions or anything specific?",
        "products": [
          {
            "items": [
              {
                "cover": "https://m.media-amazon.com/images/I/61BRW8baOPL._AC_.jpg",
                "score": "4.8",
                "ratingsCount": "23,662",
                "asin": "B00004OCNS",
                "describe": "The OXO Good Grips Balloon Whisk is a beloved kitchen staple — perfect for eggs, sauces, and baking. The non-slip handle makes it comfortable to use, and it's dishwasher safe for easy cleanup. Rated 4.8 stars from over 23,000 reviews.",
                "url": "https://www.amazon.com/dp/B00004OCNS?niid=nl_cl_lst_a_1_0&ref_=nl_cl_lst_a_1_0&nrid=1JFA4QJD11Z8P2FKJ3NM"
              }
            ]
          }
        ]
      }
    ],
    "costTime": 28567,
    "resultsNum": 1,
    "type": "json",
    "taskId": "1793163726656-81dd8dab18c0fd9f"
  }
}