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Item media 1 (screenshot) for Sift
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Item media 3 (screenshot) for Sift

Overview

Analyzes token theses and metrics directly on fomo.family token pages.

Analyze token theses and market sentiment powered by Claude AI directly on fomo.family token pages. Elevate your trading research with an AI-driven overlay designed specifically for fomo.family. Leveraging the advanced analytical capabilities of the Claude API, this extension automatically breaks down community theses, market context, and key risk indicators directly on your active workspace—saving you from endless tab switching. Key Features: 1) Claude AI Thesis Analysis: Leverages Claude's reasoning model to instantly evaluate and summarize bull and bear theses for tokens on fomo.family. 2) Smart Contextual Summaries: Translates complex market structure, holder dynamics, and sentiment trends into clear, actionable insights. 3) Seamless On-Page Integration: Operates directly within the fomo.family interface without disrupting your native trading workspace or navigation. 4) Fast & Lightweight: Processes and renders AI-generated insights instantaneously with minimal browser overhead. How to Use: 1. Install the extension. 2. Navigate to any token page on fomo.family. 3. View the AI analysis panel loaded directly on your screen to evaluate key insights before executing your trade!

Details

  • Version
    1.2.1
  • Updated
    October 7, 2026
  • Offered by
    Siftapp
  • Size
    19.62KiB
  • Languages
    English (United States)
  • Developer
    Email
    beberigoriko@gmail.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

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The developer has disclosed that it will not collect or use your data. To learn more, see the developer’s privacy policy.

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes
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