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LunarCrush

LunarCrush is a social intelligence platform focused on cryptocurrencies and financial markets that blends real-time social data with market metrics to help traders, investors, developers, and enterprises spot trends and make faster decisions. The platform ingests billions of data points from sources like X, YouTube, Reddit, TikTok, and news, filters noise, and surfaces meaningful signals such as spikes in mentions, creator activity, and engagement that often precede price moves. LunarCrush provides proprietary metrics like AltRank™ and Galaxy Score™ to quantify social momentum and integrates with developer tools through an API and an MCP server for building LLM-ready applications. It also offers customizable alerts, compare tools, and topic discovery to monitor narratives, keywords, and competitive activity across social networks.

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Introduction

Overview

LunarCrush is a social intelligence command center designed for anyone who needs to translate social chatter into actionable market insights. By aggregating and processing massive volumes of social and news data across platforms, LunarCrush helps users cut through noise and identify signals that often lead price or sentiment changes. The platform targets a wide range of users — from solo traders and creators to institutional teams and developers — providing dashboards, APIs, and tools that emphasize speed, context, and customizability.

Core Capabilities

  • Real-time social data: LunarCrush continuously collects and normalizes data from multiple social channels and news feeds to give a current view of market attention and conversations.

  • Proprietary metrics: Metrics such as AltRank™ and Galaxy Score™ blend social activity with market performance to quantify which assets are gaining genuine traction.

  • AI and LLM integration: Data is delivered in formats designed to be LLM-ready, enabling the construction of AI agents that correlate social metrics with price movements and other market signals.

  • Custom metrics and alerts: Users can build tailored streams, define keywords or tickers, and receive custom alerts when unusual activity or alpha signals occur.

  • Developer tools and API: The LunarCrush MCP server and public APIs enable developers to embed data, build visualizations, train models, and create trading or research applications powered by social intelligence.

Key Features

  1. Signal Detection and Trend Discovery: Detect spikes in mentions, emerging creators, and shifts in narrative before broader market moves. This feature helps you spot momentum early and assess community positioning.

  2. Custom Streams and Compare: Create bespoke keyword or ticker streams and use LunarCrush Compare to analyze the relative performance and popularity of multiple subjects side-by-side.

  3. Proprietary Scoring: Use AltRank™ and Galaxy Score™ to get a measurable, ranked view of assets based on social engagement and market activity rather than raw volume alone.

  4. MCP Server & API Access: Integrate LunarCrush into your own applications with a real-time MCP server and robust public API endpoints for programmatic access to aggregate and keyword-level data.

  5. AI-Ready Outputs & Alerts: Receive LLM-ready responses, build AI agents that monitor social-to-price correlations, and set up automated alerts for unusual social movements.

Use Cases and Workflows

  • Traders and investors use LunarCrush to supplement technical and fundamental analysis with social momentum signals, allowing them to detect early positioning shifts.

  • Developers and data teams integrate the LunarCrush API to power dashboards, trading signals, or to train LLMs with curated social datasets.

  • Marketers and creators monitor keyword performance, track narrative changes, and measure the impact of campaigns across platforms.

  • Enterprises use custom metrics and alerts to keep tabs on brand sentiment, competitor activity, and macro narratives that could impact strategy.

Why Choose LunarCrush

LunarCrush stands out because it transforms disparate social content into structured, actionable intelligence rather than raw feeds. Its combination of cross-platform ingestion, noise filtering, proprietary scoring, and developer-friendly APIs creates a unified workflow for spotting opportunities and risks. The platform is especially valuable for those who need to move fast on social-driven alpha, build AI agents that require synchronized social and market inputs, or embed social signals directly into applications and trading systems.

Recommended Next Steps

  • Explore the public API and MCP documentation to understand available endpoints and data formats.

  • Set up a few custom keyword streams and alerts around assets or themes you follow to begin receiving early signals.

  • Consider using the platform’s LLM-ready outputs to prototype AI agents that correlate social signals with price action or other KPIs.

  • Use the Compare tool to benchmark assets, creators, or narratives and identify relative winners and losers across social channels.

Conclusion

LunarCrush offers a purpose-built approach to measuring and acting on market attention by converting social noise into quantitative signals. Whether you are a retail trader, a developer building an AI-powered product, a marketer tracking brand mindshare, or an enterprise organizing bespoke streams of intelligence, LunarCrush provides the data, metrics, and integrations to make socially-driven decisions more precise and timely.

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Information

  • Publisher
    xpanel xxpanel x
  • Websitelunarcrush.com
  • Published date2025/12/10

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