CryptoQuant

Name: CryptoQuant
Brand: CryptoQuant
Rating: 3.5 (3 reviews)

CryptoQuant | The Standard in Digital Asset Industry

Est 2018|Valuation $58M|Raised $11.3M|3 Ref Customers

LinkedIn 4K|Web traffic 497K|FTEs 36|HQ New York, New York, US

MarketsCrypto & Digital Asset Market Intelligence

01Competitive Landscape

Narrative analysis

Where CryptoQuant appears to provide value - Exchange flow and derivatives monitoring packaged for trading workflows - Pre-built metrics and alerting that can accelerate operational use compared with building a pipeline from raw data - Institutional distribution options that facilitate procurement by some buyers Where competitors may be stronger - Glassnode: broader structured analytics and clearer segmentation between research, studio, and data products - Nansen: deeper emphasis on labeled-wallet exploration across DeFi/NFT ecosystems (depending on coverage) - Coin Metrics: selected by institutions requiring strict data lineage, governance, and systematic data products Customer testimonial and adoption notes - Public first-party comparisons are limited. Professional teams commonly triangulate signals across multiple vendors to compensate for attribution and labeling differences. Market adoption signals - Vendor claims and platform listings (for example, marketplace distribution) are indicative of institutional packaging and demand, though they do not alone prove signal accuracy.

	CryptoQuant	Glassnode	Nansen
Starting Price	Entry-level retail tiers are positioned at a low monthly price with promotional annual equivalents; mid and higher tiers increase feature and data access	Free tier available; paid tiers begin at a modest monthly rate and scale for research and data products	Pricing is often positioned at higher tiers for full feature sets; public pricing varies by plan
Typical Use Case	Traders focused on exchange flows, alerts, and market positioning	Research teams requiring structured on-chain analytics, dashboards, and data APIs	Wallet and entity labeling across chains for behavioral analysis (DeFi/NFT/smart-money tracking)
Key Strength	Emphasis on exchange-flow monitoring and alerting; institutional dataset distribution channels	Broad metric library and structured analytics with clear research and product segmentation	Entity-level labeling and cross-chain behavior analysis where coverage is available
Key Weakness	Limited public security/compliance documentation; limited mainstream review volume; interpretation risk inherent to on-chain signals	Higher-cost tiers for advanced features and enterprise add-ons	Coverage and labeling accuracy vary by chain and use case; can be costly for full access

01Competitive Landscape

Narrative analysis

Where CryptoQuant appears to provide value

Exchange flow and derivatives monitoring packaged for trading workflows
Pre-built metrics and alerting that can accelerate operational use compared with building a pipeline from raw data
Institutional distribution options that facilitate procurement by some buyers

Where competitors may be stronger

Glassnode: broader structured analytics and clearer segmentation between research, studio, and data products
Nansen: deeper emphasis on labeled-wallet exploration across DeFi/NFT ecosystems (depending on coverage)
Coin Metrics: selected by institutions requiring strict data lineage, governance, and systematic data products

Customer testimonial and adoption notes

Public first-party comparisons are limited. Professional teams commonly triangulate signals across multiple vendors to compensate for attribution and labeling differences.

Market adoption signals

Vendor claims and platform listings (for example, marketplace distribution) are indicative of institutional packaging and demand, though they do not alone prove signal accuracy.

	CryptoQuant	Glassnode	Nansen
Starting Price	Entry-level retail tiers are positioned at a low monthly price with promotional annual equivalents; mid and higher tiers increase feature and data access	Free tier available; paid tiers begin at a modest monthly rate and scale for research and data products	Pricing is often positioned at higher tiers for full feature sets; public pricing varies by plan
Typical Use Case	Traders focused on exchange flows, alerts, and market positioning	Research teams requiring structured on-chain analytics, dashboards, and data APIs	Wallet and entity labeling across chains for behavioral analysis (DeFi/NFT/smart-money tracking)
Key Strength	Emphasis on exchange-flow monitoring and alerting; institutional dataset distribution channels	Broad metric library and structured analytics with clear research and product segmentation	Entity-level labeling and cross-chain behavior analysis where coverage is available
Key Weakness	Limited public security/compliance documentation; limited mainstream review volume; interpretation risk inherent to on-chain signals	Higher-cost tiers for advanced features and enterprise add-ons	Coverage and labeling accuracy vary by chain and use case; can be costly for full access