Social sentiment and market analytics tracking real-time attention across 4,000+ crypto assets and stocks
LunarCrush is a real-time social sentiment and market intelligence platform that monitors attention across more than 4,000 cryptocurrencies, stocks, and cultural topics. The platform tracks public discourse across social networks, filters out automated spam, and translates engagement into quantitative market indicators.
The platform aggregates public activity from X, Reddit, YouTube, TikTok, Instagram, and web news outlets. Ingested posts pass through spam filtering, sentiment scoring, topic classification, and creator weighting before entering composite calculations. Rather than counting raw mentions, the engine weights posts by engagement and creator reach to gauge genuine attention.
Key proprietary metrics include Galaxy Score and AltRank. Galaxy Score generates an absolute 0 to 100 rating combining community sentiment and price momentum alongside social activity. AltRank measures relative performance across the entire tracked asset universe, where a lower number indicates an asset outperforming the market in combined price and social action. The platform also computes Social Dominance, which tracks an asset's share of total category discussion.
LunarCrush provides programmatic access through a REST API alongside a Model Context Protocol server. The MCP architecture allows AI agents and assistants such as Claude, ChatGPT, and Gemini to ingest cleaned sentiment feeds, creator statistics, time series, and category trends directly into automated analysis pipelines.
Sentiment indicators rely on third-party social media access, meaning changes in platform policies or data collection limits can affect historical continuity. Automated spam filters cannot capture every coordinated marketing campaign, leaving room for artificial social spikes. In addition, social momentum does not correlate directly with fundamental project health or long-term price performance.
LunarCrush provides deep, engagement-weighted social sentiment analytics across thousands of assets, but it lacks on-chain portfolio tracking and fundamental protocol metrics.
LunarCrush is a market research and social listening platform that turns public conversation into quantitative metrics. It tracks over 4,000 assets, including cryptocurrencies, equities, and trending cultural topics across sources like X, Reddit, YouTube, and TikTok. Rather than relying on simple raw mention counts, the system processes posts through spam filtering, sentiment scoring, engagement weighting, and topic classification before calculating its figures.
The platform centers on two primary composite metrics: Galaxy Score and AltRank. Galaxy Score generates an absolute 0 to 100 rating combining engagement-weighted sentiment with price momentum, where scores above 50 reflect net positive traction. AltRank evaluates relative performance across tracked assets. It orders tokens and equities so that an AltRank of 1 marks the strongest momentum relative to the wider market.
For developers and institutional analysts, LunarCrush provides programmatic access via its REST API as well as a Model Context Protocol server designed for integration with AI assistants like Claude, ChatGPT, and Gemini. API tiers separate usage thresholds, such as a 4-request-per-minute Hobby limit compared to 500 requests per minute on higher-capacity setups. Users can also build custom watchlists through Collections or track relative community attention with category-level Social Dominance breakdowns.
The platform suits momentum traders and quantitative funds seeking early shifts in crowd attention before price trends solidify. However, it is not an on-chain portfolio manager or an internal balance auditor. It does not offer on-chain transaction monitoring, smart contract security verification, or private wallet tracking, meaning traders needing multi-chain balance analysis or DeFi risk analytics will need to pair it with specialized blockchain analytics platforms.
| Tool type | Market data, Research, Dashboards, Alerts · unverified |
|---|---|
| Free plan | Yes · unverified |
| API access | Yes · unverified |
| Alerts | Yes · unverified |
| Mobile app | Yes · unverified |
| Wallet tracking | No · unverified |
| CSV export | Yes · unverified |
Not disclosed by the provider: Paid plans from (per month), Chains covered, NFT data.
Data from the provider's website and public sources. Fees and availability change; confirm on the official site before you sign up.
Scores asset health on a 0 to 100 scale by blending normalized social activity, sentiment tone, and price momentum.
Ranks an asset against more than 4,000 tracked assets based on combined social engagement and price performance.
Aggregates and filters public posts across X, Reddit, YouTube, TikTok, Instagram, and digital news feeds.
Calculates an individual asset's share of category conversation to identify market-wide attention rotations.
Connects live sentiment endpoints and time-series data directly to AI systems and Claude agents.
Enables users to assemble custom asset lists and monitor collective social volume changes over time.
Browse live trending cryptocurrencies, equities, and cultural topics sorted by social activity, sentiment shifts, and market performance.
Create personalized watchlists of specific assets and topics to monitor consolidated social momentum and sentiment changes in one view.
Query real-time social sentiment, creator rankings, engagement volumes, and market performance metrics via programmatic REST endpoints.
Connect LunarCrush data directly into AI clients and autonomous agents using the standardized Model Context Protocol.
View player attention boards combining social chatter, verified fantasy analyst commentary, and injury designations to inform start and sit decisions.
LunarCrush provides social sentiment metrics, comparative tracking, and visual charts across crypto and stock assets. The web platform offers social sentiment metrics and visual charts, while app-store reviews report crashes, navigation problems, and email-login errors.
“love it been using it for a few months now. the UI is pretty seamless and i like it better than coinmarketcap or coingecko. it gives me a lot more info to work with and it’s just a cool interface. i check it pretty much every day”
“this is actually super useful being able to compare assets + topics side-by-side makes spotting early narrative shifts way easier. social momentum usually moves before price, so having everything in one screen is clutch.”
“Money grab Don’t waste your time unless you want to put money into something with zero guarantees it works, zero trial, nothing. Don’t waste your money”
“Login does not work! After confirming the login thru the email link, the app never recognizes that it was approved. Cannot login to account to view assets.”
“App Does Not Work App crashes on loading. Does not work on iPhone or iPad”
Based on 57 Reddit posts and comments, 37 App Store reviews from the last 12 months, checked Oct 21, 2026. These are posts by users on other sites, not reviews submitted on CryptoReview.
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LunarCrush is a real-time social media sentiment and market analytics platform. It monitors public social conversation across networks like X, Reddit, YouTube, and TikTok to score sentiment and attention trends for crypto assets and stocks.
Galaxy Score is an absolute 0 to 100 composite metric that blends normalized social volume, engagement-weighted sentiment, and market price momentum. A score over 50 reflects above-average community engagement and market health.
Galaxy Score measures an asset's absolute health against its own baseline, while AltRank measures combined social and price performance relative to every other asset tracked. A lower AltRank number indicates stronger relative momentum across the market.
LunarCrush monitors more than 4,000 cryptocurrencies, stocks, and cultural topics in real time.
LunarCrush offers a dedicated Model Context Protocol (MCP) server alongside REST endpoints that allow AI assistants like Claude, ChatGPT, and Gemini to ingest sentiment and market metrics.
Recent public posts from @lunarcrush, shown as published. Not reviewed or endorsed by CryptoReview.
Recent posts from the official Telegram channel @lunarcrush, shown as published. Not reviewed or endorsed by CryptoReview.
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