Amazon product search volume data for AI agents

Structured consumer purchase-intent data from Amazon, delivered directly to your AI. Identify growing product categories, measure demand seasonality, and track competitor keyword momentum without an Amazon Seller account.

get_trends

Export the full Amazon product search time series for any category keyword - identify seasonal peaks (e.g. gifting, back-to-school, summer) that inform inventory and ad timing.

get_trends(keyword='collagen supplements', source='amazon', data_mode='weekly')

get_growth

Calculate Amazon product search growth over 1-year and 3-month windows - consistent multi-period growth indicates durable demand rather than a short-lived spike.

get_growth(keyword='collagen supplements', source='amazon', percent_growth=['3M', '1Y'])

get_ranked_trends

Rank product categories by Amazon search growth to find which have the highest rising purchase intent - prioritize these for new product development or inventory expansion.

get_ranked_trends(source='amazon', sort='yoy_pct_change', limit=40)

get_top_trends

Pull Amazon's live best-seller and top-rated lists to see which products consumers are actively buying and rating right now across all categories.

get_top_trends(type='Amazon Best Sellers Top Rated', limit=30)

Common questions

JSON with normalized search volume (0-100), absolute volume estimate, growth percentage over the selected period, and a weekly time series array.
No. Trends MCP accesses Amazon search signals through normalized trend data, not the Amazon Advertising API. No seller account or API key is needed.
Yes. The 5-year weekly time series clearly shows seasonal spikes - for example, gifting categories peaking in November-December or summer products peaking in May-June.