Jungle Scout's API supports multiple marketplaces identified by country code. You can research products and keywords for US, UK, Germany, Canada, India, and other supported Amazon markets. Specify the marketplace parameter in your queries to get region-specific data.

Jungle Scout updates its product database and keyword metrics regularly. Sales estimates and search volumes reflect recent Amazon data, though exact refresh frequency depends on the endpoint. Historical volume data covers up to 24 months of trend information for seasonal analysis.

Yes. The product database query supports seller_types as a filter parameter. You can include or exclude FBA, FBM, and Amazon-sold products. Combined with product_tiers (standard vs. oversize), you get precise control over which product segments appear in results.

Jungle Scout's Listing Quality Score (LQS) rates how well-optimized an Amazon listing is, considering title, images, description, and backend keywords. The agent can filter products by min_lqs and max_lqs, helping you find opportunities where competitors have weak listings you can beat.

Yes. The reverse ASIN lookup endpoint accepts up to 10 ASINs at a time and returns all keywords those products rank for in Amazon search results. You get search volume, organic product count, and ranking position for each keyword. Include variants with the include_variants parameter.

No. Product data, keyword volumes, and sales estimates are fetched from Jungle Scout in real time and used only within the active conversation. Tars does not cache or replicate Jungle Scout's proprietary Amazon data after the session ends.

Each question that requires Jungle Scout data typically triggers one API call. A product search is one call. A keyword lookup is one call. Complex queries with multiple ASINs may use multiple calls. Jungle Scout provides the first 100 requests free with a plan, and additional usage follows their API pricing.

The dashboard requires manual navigation, filter configuration, and visual scanning. A Tars AI Agent lets you describe what you want in natural language, applies the correct filters automatically, and returns focused results. It is especially valuable for teams where not everyone knows how to use the Jungle Scout interface.