Analyze a competing ASIN
Review product [ASIN] on Amazon [marketplace]. Compare its price, rank, and historical sales signals, clearly marking estimates.
Leina connects to SellerSprite MCP to help you research Amazon competitors, discover keywords, and compare market trends. Ask in your team chat. Leina does the work and brings back the result.
Connect SellerSprite MCP, choose what to share, and hand off your first task.
You
For Amazon US product [ASIN], find traffic keywords related to “desk organizer”. Group broad terms and specific buying needs for further research.
Leina
I grouped the keyword candidates by search intent for the next round of research.
SellerSprite · Keyword research
Desk organizer keyword map
Broad searches and more specific product needs.
A SellerSprite AI agent helps compare competing products and explore search terms using product, traffic, and historical research data.
You specify the source and the destination. Leina uses the content available to your connection and returns the result for you to review.
SellerSprite provides Amazon product, keyword, review, and market research.
Provide the Amazon marketplace and product.
Read traffic keywords and related keyword candidates.
Separate broad demand from specific buying intent.
Copy a prompt, add your details, and send it to Leina in your connected team chat.
Review product [ASIN] on Amazon [marketplace]. Compare its price, rank, and historical sales signals, clearly marking estimates.
Find traffic keywords for Amazon [marketplace] product [ASIN]. Expand [keyword] and compare demand and competition.
Your next SellerSprite MCP task can start with a message.
Tell Leina what you need in your team chat. Include the source, destination, and expected result.
Connect the tools involved and give Leina access to the content it needs.
Share the source material, say where the result belongs, and describe what you need.
Review the result and any changes in the connected app.
Hand off these everyday tasks to your AI employee.
Find competing Amazon products by marketplace, category, brand, seller, ASIN, keyword, and product filters.
Research Amazon products using sales, revenue, price, ranking, review, fulfillment, brand, seller, and category filters.
Find Amazon category nodes by marketplace, category path, keyword, or historical month.
Retrieve competing products identified for one Amazon ASIN.
Retrieve SellerSprite product, sales, ranking, price, review, and seller data for one Amazon ASIN.
Retrieve the historical coupon trend for one Amazon ASIN.
Retrieve ASIN details together with the product's historical coupon trend.
Retrieve the historical sales trend for one Amazon ASIN.
Retrieve SellerSprite sales predictions for one Amazon ASIN.
Estimate Amazon product sales from a Best Sellers Rank and top-level category.
Retrieve the search and conversion keywords that drive traffic to one Amazon ASIN.
Retrieve SellerSprite's Keepa-style historical product trend data for one Amazon ASIN.
Research Amazon keywords using search, purchase, competition, price, review, growth, PPC, and demand filters.
Retrieve the historical SellerSprite trend for one Amazon keyword.
Discover related Amazon keywords using search volume, purchase, competition, relevancy, PPC, price, and review filters.
Expand the traffic keywords shared by a set of Amazon ASINs using search, purchase, competition, and conversion filters.
Analyze Amazon keyword search, click, purchase, conversion, advertising, price, and budget performance.
Research weekly Amazon Brand Analytics keywords using rank, search, click, conversion, and market-pattern filters.
Research monthly Amazon Brand Analytics keywords using rank, search, click, conversion, and market-pattern filters.
Retrieve weekly or monthly Amazon Brand Analytics trend data for one keyword.
Retrieve Google Trends interest data for an Amazon marketplace keyword.
Reverse-search the weekly or monthly Amazon keywords that generated orders for selected ASINs.
Retrieve Amazon listings related to selected ASINs by the requested traffic relationship types.
Retrieve aggregate traffic-keyword statistics for one Amazon ASIN.
Retrieve aggregate related-listing traffic statistics for selected Amazon ASINs.
Trace Amazon keyword traffic from a query to the listings receiving that traffic.
Research Amazon categories and market segments using demand, competition, concentration, fulfillment, seller, and new-product filters.
Retrieve summary statistics for one Amazon category market.
Retrieve product concentration for one Amazon category market.
Retrieve brand concentration for one Amazon category market.
Retrieve the seller-country distribution for one Amazon category market.
Retrieve seller concentration for one Amazon category market.
Retrieve the fulfillment and seller-type distribution for one Amazon category market.
Retrieve the product-demand trend for one Amazon category market.
Retrieve the listing-age distribution for one Amazon category market.
Retrieve Amazon market listing-trend distribution data using the supplied optional market filters.
Retrieve the review-count distribution for one Amazon category market.
Retrieve the star-rating distribution for one Amazon category market.
Retrieve the price distribution for one Amazon category market.
Retrieve the A+ content and video distribution for one Amazon category market.
Retrieve Amazon reviews for one ASIN with optional star-rating and review-type filters.
Retrieve the countries and trademark offices covered by SellerSprite's global trademark database.
Retrieve one global trademark record by trademark office and SellerSprite brand ID.
Search SellerSprite's global trademark records by text, office, brand, status, applicant, class, and year filters.
Retrieve aggregate global trademark statistics for search text and selected trademark offices.
Discover the current SellerSprite Amazon research and market-data MCP tools with their live input schemas and behavior annotations.
Call a current SellerSprite MCP tool with JSON arguments after inspecting its live schema and behavior annotations with list_tools.
Connect the Apps your work depends on, and give Leina the context to carry the task forward.
Hand off a task while your team is discussing it. Leina uses your connected tools and brings the result back to the conversation.
See How Leina Works in SlackI grouped the keyword candidates by search intent for the next round of research.
No. Predictions and rank-based estimates support research; they do not establish future sales.
This connection focuses on research, not seller-account order operations.
An activated SellerSprite MCP service and its Secret Key.
Start with one task you already need to do. Tell Leina what a finished result should look like.
Connect SellerSprite MCP, choose what to share, and hand off your first task.