Social sentiment data refers to insights derived from analyzing conversations, reactions, and trends across platforms like Twitter, Discord, Reddit, and other social channels. This data offers a powerful lens into community sentiment, token hype cycles, protocol reputation, and early signals around market movements or governance decisions. By integrating social sentiment into on-chain agents or trading strategies, developers can build more context-aware systems that respond not just to market data but also to the collective mood and behaviour of the crypto community. Trendmoon uses AI to aggregate Telegram data and surface real-time insights into what people are discussing and where their attention is focused.

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Trendmoon Overview

  • Filters genuine crypto signals from 16,000+ Telegram groups.
  • Eliminates spam and fake engagement with advanced analytics.
  • Visualizes emerging trends and community activity on one platform.
  • Delivers actionable trend alerts, removing the need for manual research across multiple channels.
  • Powered by a robust, decentralized network.

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Quickstart

To get started with Trendmoon, refer to their example agent in the Vibekit repository.