CoinGecko vs LunarCrush

CoinGecko4.4/5

VS

LunarCrush4.0/5

Feature	CoinGeckoVisit	LunarCrushVisit
Ratings
Our score	4.4/5	4.0/5
User rating	No reviews yet	No reviews yet
Data quality	4.5	4.5
Features	4.0	4.0
Pricing	4.0	3.0
Ease of use	4.5	4.0
Coverage	5.0	4.5
Specs
Tool type	Market data, Portfolio tracker	Market data, Research, Dashboards, Alerts
Free plan	Yes	Yes
Paid plans from (per month)	$29	Not disclosed
Chains covered	360	Not disclosed
API access	Yes	Yes
Alerts	Yes	Yes
Mobile app	Yes	Yes
Wallet tracking	Not disclosed	No
NFT data	Yes	Not disclosed
CSV export	Not disclosed	Yes
Company
Founded	2014	2018
Headquarters	Singapore	United States
Investors	Not disclosed	Not disclosed
Strengths and weaknesses
Pros	Tracks more than 22,000 tokens and 1,500 exchanges globally Covers onchain activity across more than 360 blockchain networks Free web and mobile portfolio tracking without mandatory account KYC SOC 2 Type 2 compliant enterprise API with 99.9% uptime SLA	Monitors cleaned social activity across more than 4,000 crypto assets and stocks Ingests multi-source data from X, Reddit, YouTube, TikTok, and news feeds Weights sentiment by user engagement to filter out raw bot mentions Offers Model Context Protocol support for direct AI agent integration
Cons	Paid API plans start at $35 per month Free API plan enforces strict rate limits that restrict heavy usage DEX and low-volume pairs are vulnerable to bad ticks or lagged reporting Portfolio tracker relies on manual entry rather than automated wallet syncing	Relies on public social feeds that can face platform rate limits Advanced developer endpoints and programmatic rate limits require paid access tiers Social volume spikes can be distorted by sudden marketing campaigns Does not replace fundamental balance sheet or smart contract on-chain auditing
Best for	Traders tracking multi-chain market trends, Developers building apps requiring token pricing, Researchers monitoring crypto market capitalization	Traders tracking altcoin attention rotations, Researchers analyzing retail social sentiment, Developers building sentiment-aware AI agents

Highlighted cells show the stronger value in each row. Data comes from each provider's site and public sources; check details before you sign up.

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