Intro

Extralt is an agentic workspace for ecommerce product analytics. It is designed for ecommerce market intelligence and for building grounded reports with source evidence. The product focuses on turning web data into product intelligence and market insight.

Key Features

Extralt lets users ask market questions and extract ecommerce product data from the open web. It can enrich extracted data into listings and offers, support cross-seller product matching, and import catalogs. The platform also explores grounded reports with source evidence.

Its product flow includes Capture for raw structured ecommerce data from crawled webpages, and Enrich for normalized product intelligence. According to the pricing page, Extract returns raw structured ecommerce data as found on the crawled webpage, in the original language. AI analysis is used to normalize and enrich product data, including text and images.

Pricing is usage-based. The pricing page says, "Pay to build. Explore for free."

Who this is for

Extralt is for users who need ecommerce product analytics and want to work with product data from the open web. It also fits teams or individuals building or exploring ecommerce market intelligence workflows. The available information does not state specific industries, company sizes, or regional coverage.

FAQ

How does Extralt gather product data?

It extracts ecommerce product data from the open web and can provide raw structured data from crawled webpages.

What is the difference between Capture and Enrich?

Capture provides raw structured ecommerce data, while Enrich normalizes and enriches product intelligence.

Does Extralt include source evidence in reports?

Yes. The product description says it supports grounded reports with source evidence.