Jungle Scout assists Amazon sellers with product research, sales estimates, and competitive insights to optimize inventory, pricing, and listing strategies
Jungle Scout assists Amazon sellers with product research, sales estimates, and competitive insights to optimize inventory, pricing, and listing strategies On Nagent, Jungle Scout is exposed as a fully-configurable ecommerce integration that any agent can call — 6 actions, and API key authentication. No code is required to wire Jungle Scout into your workflow — connect it once via the External Integrations panel and reuse it across every agent you build.
Agent builders use Jungle Scout to automate the kinds of tasks ecommerce teams previously handled manually. Concrete examples — each one is a single agent step in Nagent — include:
Every action and trigger is paired with a structured input/output schema (visible in the sections below), so when you wire Jungle Scout into Helix — our agentic agent builder — the editor knows exactly what each step expects and produces. Configure once, deploy anywhere across your Nagent agents.
Every operation an agent can call against Jungle Scout, with input parameters and output schema. Drop these into any step of an agent built in Helix.
JUNGLESCOUT_KEYWORD_HISTORICAL_VOLUMEFetches the historical search volume data for a specified keyword over a given time period.
Input parameters
(Required) Keyword to fetch historical search volume for.
(Required) The end date for fetching historical data (YYYY-MM-DD).
(Required) The start date for fetching historical data (YYYY-MM-DD).
(Required) Country code for the marketplace.
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
JUNGLESCOUT_QUERY_THE_PRODUCT_DATABASEQueries the Jungle Scout product database to retrieve product data based on various filters. Compatible parameters include marketplace, sort, page_size, product_tiers, seller_types, categories, exclude_top_brands, exclude_unavailable_products, min_price, max_price, min_net, max_net, min_rank, max_rank, min_sales, max_sales, min_revenue, max_revenue, min_reviews, max_reviews, min_rating, max_rating, min_weight, max_weight, min_sellers, max_sellers, min_lqs, max_lqs, min_updated_at, and max_updated_at.
Input parameters
Sort order for the results.
Maximum Listing Quality Score.
Maximum net price.
Minimum Listing Quality Score.
Minimum net price.
Maximum sales rank.
Minimum sales rank.
Maximum price.
Maximum number of sales.
Minimum price.
Minimum number of sales.
Number of results per page.
Categories to include in the search.
Maximum rating.
Maximum weight.
Minimum rating.
Minimum weight.
(Required) Country code for the marketplace.
Maximum revenue.
Maximum number of reviews.
Maximum number of sellers.
Minimum revenue.
Minimum number of reviews.
Minimum number of sellers.
Seller types to include in the search.
Product tiers to include in the search.
Maximum update date.
Minimum update date.
Keywords to exclude from the search.
Keywords to include in the search.
Whether to exclude top brands from the search.
Whether to exclude unavailable products from the search.
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
JUNGLESCOUT_RETRIEVE_DATA_FOR_A_SPECIFIC_KEYWORD_QUERYReturns data based on a specific keyword query, including search volume and competition.
Input parameters
Sort
Page Size
List of categories to search in
(Required) Country code for the marketplace.
Search terms
Maximum word count
Minimum word count
Maximum organic product count
Minimum organic product count
Maximum monthly search volume for broad match
Maximum monthly search volume for exact match
Minimum monthly search volume for broad match
Minimum monthly search volume for exact match
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
JUNGLESCOUT_RETRIEVE_KEYWORD_DATA_FOR_SPECIFIED_ASINSReturns keywords for which the queried ASIN(s) appear in Amazon search results. For a given keyword, Jungle Scout collects up to 3 pages of Amazon keyword search results. Query up to 10 ASINs at a time. Apply filters to narrow search results.
Input parameters
Sort
Number of results per page.
(Required) Country code for the marketplace.
Page number for paginated results (starts at 1).
Asins
Max Word Count
Min Word Count
Include Variants
Max Organic Product Count
Min Organic Product Count
Max Monthly Search Volume Broad
Max Monthly Search Volume Exact
Min Monthly Search Volume Broad
Min Monthly Search Volume Exact
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
JUNGLESCOUT_RETRIEVE_SALES_ESTIMATES_DATAFetches sales estimates data for specified parameters.
Input parameters
ASIN for which sales estimates are needed.
End date for the sales estimates data.
Start date for the sales estimates data.
(Required) Country code for the marketplace.
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
JUNGLESCOUT_RETRIEVE_SHARE_OF_VOICE_DATAFetches share of voice data for specified keywords.
Input parameters
Keyword for which share of voice data is needed.
(Required) Country code for the marketplace.
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
No publicly available marketplace agent is found using this tool yet. There are 31 agents privately built on Nagent that already use Jungle Scout.
Build on Nagent
Connect Jungle Scout to any Nagent agent in minutes — no API key management, no boilerplate. Just configure and deploy.
The five questions agent builders ask before adopting a new integration.
Open the External Integrations panel inside Nagent (app.nagent.ai/externalIntegration), find Jungle Scout, and click "Connect Now." You'll authenticate with an API key — Nagent handles credential storage and refresh automatically. Once connected, Jungle Scout is available to any agent in your workspace.
No. Nagent provides no-code integration for every tool. Once Jungle Scout is connected, you configure its 6 actions directly in the agent builder UI — no API calls, no boilerplate, no schema management.
Helix — Nagent's agentic agent builder — lets you drop Jungle Scout steps into any workflow visually. Pick an action (e.g., one of those listed above), fill in the inputs (Helix knows the required vs. optional schema for each parameter), and connect it to upstream/downstream steps. Triggers run as the entry point of an agent, so when a Jungle Scout event fires, the agent kicks off automatically.
Every Jungle Scout action and trigger ships with a fully-typed schema — input parameters with name, type, required flag, and description, plus the output payload shape. The schemas are documented in the sections above. Helix uses these schemas to validate your configuration at build time and to type-check the data flowing between steps.
Yes. While Jungle Scout ships with 6 pre-built ecommerce actions, you can layer custom logic around them inside Helix — pre/post-processing steps, conditional branches, retries, or stitching Jungle Scout together with other connected tools. For deeper customization, talk to our team about Nagent's Agentic AI Lab — forward-deployed engineers who build Jungle Scout-based workflows tailored to your business.