LunarCrush - AI-powered social intelligence for crypto and markets

What is LunarCrush

The cryptocurrency and stock markets generate millions of social media posts daily, creating an overwhelming amount of noise that makes it nearly impossible for traders and investors to separate signal from sentiment. Traditional financial analysis focuses on price charts, volume data, and fundamental metrics—but these fail to capture the social dynamics that increasingly drive market movements. This information asymmetry leaves retail investors at a significant disadvantage against institutional players who have dedicated teams monitoring social channels.

LunarCrush positions itself as "The Social Intelligence Layer"—the first and only platform that deeply integrates social media data with market data to uncover actionable investment intelligence. Rather than simply tracking mention counts or engagement metrics, LunarCrush provides proprietary indicators that cross-reference social momentum with price action, enabling users to discover alpha before it manifests in traditional market data.

The platform's flagship metrics include Galaxy Score™ and AltRank™. Galaxy Score™ delivers a comprehensive health assessment by combining social engagement patterns with market performance indicators, helping users identify assets with strong fundamentals hidden beneath low market capitalization. AltRank™ performs cross-referential analysis between social momentum and price action, identifying divergences where social discussion is increasing but price has not yet followed—a classic early signal for emerging opportunities.

LunarCrush processes millions of social posts daily across six major networks, tracking over 4,000 assets spanning cryptocurrencies, stocks, NFTs, brands, and entertainment categories. The platform monitors 32 distinct categories including Crypto, Stocks, Brands, People, Events, Musicians, NBA, and NFL, providing coverage that no other social intelligence platform matches.

The platform serves enterprise clients including Coinbase, which uses LunarCrush data to power its Explore feature, Kraken, TradingView, Google, Brevan Howard hedge fund, and OKX. Industry leaders have recognized LunarCrush's capability to spot market shifts early—Tim Draper noted that LunarCrush "consistently spotted market shifts early, including an advance signal on the collapse of Silicon Valley Bank."

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Core Features of LunarCrush

LunarCrush delivers its intelligence through multiple integration pathways designed for different user workflows. The platform provides three primary access methods: RESTful API for programmatic access, MCP Server for AI agent integration, and LunarCrush Discover for visual exploration without coding requirements.

LunarCrush + Claude represents the official integration connecting social intelligence directly into Claude AI workflows through the Model Context Protocol. This integration allows AI assistants to query real-time social data, enabling natural language queries like "Which cryptocurrencies have the highest Galaxy Score this week" or "Show me emerging NFT trends with strong social momentum." The connector brings the full power of LunarCrush's data infrastructure into the AI ecosystem, making social intelligence accessible to users who prefer conversational interfaces.

LunarCrush API provides programmatic access to the platform's complete data infrastructure. The RESTful API follows developer-friendly conventions with comprehensive documentation, rate limiting, and consistent response formats. Major platforms including Coinbase, Kraken, and TradingView use this same API to power their products, ensuring enterprise-grade reliability and scale.

LunarCrush MCP Server extends the platform's reach to any agent or MCP-compatible client, enabling AI assistants to access real-time social intelligence. This capability positions LunarCrush as the data backbone for the emerging AI agent economy, where autonomous systems require social context to make informed decisions.

LunarCrush Discover offers a visual interface for exploring trending topics, emerging social narratives, and sentiment shifts across cryptocurrency and stock markets. Users can identify opportunities without writing code, using interactive dashboards to filter by category, sentiment, engagement volume, and proprietary scores.

Custom Collections allows users to build personalized data streams combining any asset or topic. Researchers can create focused collections for specific strategies—DeFi monitoring, meme coin tracking, or sector rotation—organizing data according to their analytical frameworks.

Galaxy Score™ serves as the platform's core health indicator, aggregating social engagement metrics with market data to produce a single score representing overall asset health. Traders use this metric to identify fundamentally strong assets that may be undervalued by traditional metrics.

AltRank™ provides cross-referential analysis identifying divergences between social momentum and price action. When social discussion increases significantly but price remains flat or declines, this divergence often signals impending price movement—the core alpha discovery mechanism that distinguishes LunarCrush from simple social listening tools.

Social Dominance tracks how much of total social conversation a specific topic commands, enabling users to identify shifts in narrative ownership and emerging trends before they reach mainstream awareness.

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Technical Architecture

LunarCrush operates a sophisticated six-layer data processing pipeline designed for scale, accuracy, and real-time delivery. Understanding this architecture helps technical users appreciate how the platform transforms raw social data into actionable intelligence.

Layer 1: Raw Collection ingests content from six monitored social networks—X (Twitter), Reddit, YouTube, TikTok, Instagram, and News sources. The system employs multi-language ingestion capabilities, capturing content across regional markets and languages. Each network's capture includes specific data types: X provides posts, replies, quotes, engagement metrics, and creator profiles; Reddit captures posts, comments, subreddit activity, and upvotes; YouTube ingests video titles, descriptions, engagement metrics, and creator statistics; TikTok processes video metadata, engagement, and creator metrics; Instagram monitors posts, reels, stories, and engagement data; News sources provide articles, headlines, and publication engagement metrics.

Layer 2: Entity Recognition performs sophisticated matching, connecting social posts to the platform's 4,000+ tracked topics. The system supports multi-label classification, correctly identifying posts mentioning multiple assets—for example, a post discussing "$BTC and Ethereum" receives tags for both Bitcoin and Ethereum, enabling precise attribution.

Layer 3: Sentiment Analysis applies AI-driven scoring to each piece of content, generating bullish or bearish classifications. These individual scores aggregate to topic-level sentiment metrics, providing percentages of bullish versus bearish discussion. The system also extracts specific themes driving sentiment, identifying what narratives influence market perception.

Layer 4: Influence Weighting ranks creators based on follower count, engagement history, and demonstrated influence within specific topics. This layer applies quality scoring to distinguish authentic engagement from bot activity and coordinated manipulation—a critical capability given the prevalence of social manipulation in cryptocurrency markets.

Layer 5: Proprietary Metrics transforms processed data into LunarCrush's unique indicators. Galaxy Score™ combines social and market data into a composite health assessment. AltRank™ performs cross-referential analysis between social momentum and price action. Social Dominance calculates topic share of total conversation. Engagement per Mention normalizes volume by quality, identifying signal rather than just noise.

Layer 6: Time Series maintains historical depth across all metrics, providing data snapshots at intervals ranging from one week to complete historical records spanning multiple years. This temporal dimension enables trend detection, anomaly identification, and backtesting of social-based trading strategies.

The platform's real-time architecture processes data continuously rather than through batch jobs, ensuring users access information within minutes of social publication rather than hours or days later.

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Who Uses LunarCrush

LunarCrush serves diverse users across the financial, technology, and marketing sectors. Understanding these use cases helps prospective users identify whether the platform addresses their specific needs.

Cryptocurrency Research represents the platform's largest user segment. Traders and investors leverage Galaxy Score™ rankings to discover high-quality assets that may be overlooked by traditional analysis. The metric identifies cryptocurrencies with strong social engagement combined with favorable market dynamics, revealing opportunities that pure price analysis misses. Researchers use AltRank™ to find assets where social momentum significantly exceeds price action—potential alpha that hasn't yet materialized in market prices.

Trading Signal Detection employs LunarCrush's real-time monitoring capabilities to identify anomalous social engagement spikes. When a cryptocurrency suddenly receives engagement far exceeding its baseline, this often precedes price movement. Traders build systems around these early signals, gaining time advantage before information propagates through traditional market channels.

Sector Rotation Tracking uses Social Dominance metrics to monitor how conversation share shifts across blockchain sectors—DeFi, AI tokens, meme coins, Layer-1 protocols. As capital rotates between sectors, social conversation precedes and predicts these flows, enabling traders to position ahead of momentum shifts.

Meme Coin Discovery addresses the unique challenge of evaluating assets driven primarily by social momentum. LunarCrush's engagement metrics, sentiment analysis, and Galaxy Score™ help users distinguish between meme coins with genuine social traction versus those with manufactured volume. This filtering capability proves essential in a market segment prone to coordinated pump schemes.

Stock Social Intelligence extends LunarCrush's capabilities beyond cryptocurrency to over 2,000 stocks. The platform applies the same Galaxy Score™ methodology to equities, revealing how social sentiment drives stock movements—a factor increasingly important as retail trading and social media influence equity markets.

Brand Monitoring and Competitive Analysis serves marketing teams tracking brand performance across social channels. Users compare engagement metrics, sentiment trends, and competitive positioning to inform data-driven marketing decisions.

KOL Identification helps teams discover influential creators within specific topics. The platform's creator rankings enable precise targeting for marketing campaigns, partnership outreach, and market research.

AI Model Training provides LLM developers with high-quality, multi-source social data spanning multiple years. The platform's comprehensive coverage and clean labeling make it suitable for training models that require social intelligence capabilities.

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Pricing Plans

LunarCrush implements tiered pricing based on API access volume, feature access, and support level. All plans include access to LunarCrush Discover, the Claude Connector, and MCP Server functionality.

The Individual plan suits independent traders and researchers requiring basic API access and single-collection management. With 10 requests per minute and 2,000 daily API calls, this tier supports personal research workflows and integration with individual trading systems.

The Builder plan increases capacity twenty-fold, suitable for small teams building products or conducting intensive research. The 100 requests per minute limit accommodates application development, while 20 collections enable multiple simultaneous tracking strategies.

The Scale plan targets established businesses and professional trading operations. The 500 requests per minute and 100,000 daily API calls support production systems serving end users. Premium human support ensures rapid resolution for business-critical issues.

The Enterprise plan provides custom configurations for organizations with specific requirements. Dedicated support, custom rate limits, and tailored data arrangements serve large institutions including hedge funds, exchanges, and media companies.

All plans bundle the same core functionality—differences lie in capacity and support level rather than feature access. This approach ensures users at every tier access complete platform capabilities.

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Frequently Asked Questions