Research an Amazon Product
Review Amazon [marketplace] product [ASIN] and its estimated sales during [date range]. Explain the trend and label estimates.
Leina connects to Sorftime to help you study product trends, compare keyword exposure, and research categories. Ask in your team chat. Leina does the work and brings back the result.
Connect Sorftime, choose what to share, and hand off your first task.
You
Research keywords exposing Amazon US product [ASIN]. Focus on “travel toiletry bag” and separate broad terms from specific use cases.
Leina
I grouped the keyword exposure records into broad searches and specific needs.
Sorftime · Keyword brief
Travel toiletry bag searches
A starting point for product positioning research.
A Sorftime AI agent organizes product details, estimated sales histories, and keyword exposure into focused marketplace research.
You specify the source and the destination. Leina uses the content available to your connection and returns the result for you to review.
Sorftime supplies product and keyword research for Amazon and Walmart markets.
Provide the marketplace and competitor product.
Read search terms linked to that product.
Compare selected keywords and their research signals.
Copy a prompt, add your details, and send it to Leina in your connected team chat.
Review Amazon [marketplace] product [ASIN] and its estimated sales during [date range]. Explain the trend and label estimates.
Find keywords exposing Amazon [marketplace] product [ASIN], then investigate [keyword] and explain its demand and competition.
Review Walmart US product [product identifier]. Summarize estimated sales, price changes, and review trends.
Your next Sorftime 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.
Get Sorftime Amazon product details for one ASIN, optionally including price, rank, sales, and other historical trends. Consumes one request, or two for trend ranges longer than 15 days.
Search Amazon products by name through Sorftime and return product research results. Consumes two Sorftime requests.
Search Amazon category markets by natural-language name through Sorftime and return matching NodeIds. Consumes one Sorftime request.
Get the current or historical Amazon Best Seller Top 100 products for a category through Sorftime. Consumes five requests; historical lookup costs ten requests per three-day block.
Get up to two years of a selected Sorftime Amazon category market trend. Consumes five Sorftime requests.
Get Sorftime Amazon keyword details including search volume, conversion, competition, and CPC trends. Consumes one Sorftime request.
Find related Amazon keywords from a seed keyword through Sorftime. Consumes five Sorftime requests.
Find Amazon keywords that exposed an ASIN in the first three search-result pages during the last 30 days through Sorftime. Consumes one Sorftime request.
Get the current Sorftime credit balance. Consumes one Sorftime request.
List paginated Sorftime credit usage records for Amazon, Shopee, or Walmart. Consumes one Sorftime request.
Get Sorftime monthly request purchases and consumption history without consuming a request.
Search and filter the Sorftime Amazon product database. Returns up to 100 products per page and consumes five Sorftime requests.
Get current or historical Sorftime estimated sales for one Amazon ASIN. Consumes one Sorftime request.
List Amazon product variations through Sorftime, optionally including variation sales. Consumes one request, or two when sales are included.
Get Sorftime's Amazon customer review summary for one ASIN. Consumes one Sorftime request.
List Sorftime Amazon product review records with rating and verified-purchase filters. Returns 100 records per page and consumes five Sorftime requests.
List Sorftime Amazon products in a category ordered by monthly sales. Returns 100 products per page and consumes five Sorftime requests.
Search and filter the Sorftime Amazon keyword database. Consumes five Sorftime requests.
Get Amazon products appearing in organic or advertising search results for a keyword through Sorftime. Consumes five Sorftime requests.
Get monthly Amazon search-result trends for a keyword through Sorftime. Consumes ten Sorftime requests.
Find Amazon keywords associated with a leaf category through Sorftime. Consumes one Sorftime request.
List products ranked for an Amazon keyword through Sorftime. Returns 200 products per page and consumes five Sorftime requests.
Get up to two years of US Amazon rankings for an ASIN and keyword through Sorftime. Returns 200 records per page and consumes two Sorftime requests.
Get Sorftime's Walmart US category report and Best Seller Top 80 products for a known node path. Consumes five Sorftime requests.
Get current Sorftime Walmart US details for one product ID. Consumes one Sorftime request.
Get Sorftime Walmart US sales, price, review, rating, and category-rank trends for one product ID. Consumes two Sorftime requests.
Get Sorftime Walmart US published variant sales history for one product ID. Defaults to the latest 30 days, returns up to 100 rows per page, and consumes one Sorftime request.
Search and filter Sorftime's current Walmart US hot-keyword database. Consumes five Sorftime requests.
Search Sorftime Walmart US hot keywords from a natural-language name. Consumes one Sorftime request.
Get products appearing in the last 15 days of Walmart US results for a current Sorftime hot keyword. Consumes five Sorftime requests.
Get Sorftime Walmart US keyword details such as search volume, competition, and first-page averages. Consumes one Sorftime request.
Find keywords that exposed a Walmart US product in the first three search-result pages during the last 30 days. Consumes one Sorftime request.
Find related Sorftime Walmart US keywords from a seed keyword. Consumes five Sorftime requests.
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 exposure records into broad searches and specific needs.
They are provider estimates for research and should be labeled as such.
Amazon reverse lookup covers terms that exposed the product within the first three search-result pages during the previous 30 days.
Yes. Usage varies by the research operation and selected options.
Start with one task you already need to do. Tell Leina what a finished result should look like.
Connect Sorftime, choose what to share, and hand off your first task.