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Ask questions about the page you're on. Sift reads the page you're on and answers your questions about it, in a side panel next to the page. HOW IT WORKS - Open any web page and click the Sift icon. Ask a question. - If the page covers it, the answer comes from the page, with quotes you can click to see highlighted in place. Each quote is checked against the page text, so a made-up quote is rejected. - If the page doesn't cover it, Sift searches the rest of the same site and answers from what it finds. These answers are labeled "from the web". - Select text on a page, right-click, and choose "Ask Sift about this selection". - Long pages are searched locally, so questions about the end of a long article still work. - Share a thread as a link. The thread travels in the link itself; no account and no server copy. POWERED BY NVIDIA Nemotron models served by Nebius Token Factory, with Tavily for site-scoped search. PRIVACY - Sift reads a page only when you ask a question about it, never in the background. - The page text, your questions and the page URL are sent to Nebius Token Factory to produce the answer. Search queries go to Tavily. - No account, no analytics, no ads. Conversations are kept only until you close the browser. - Works out of the box through a free demo server with daily limits. Add your own Nebius and Tavily keys on the options page to call them directly; keys stay on your device. Open source: https://github.com/aishahsofea/sift
Oct 16, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.