Artemis Analytics Platform

Artemis provides institutional-grade crypto market intelligence through a comprehensive suite of analytics products designed for fundamental research and competitive analysis. Built by former analysts from Insight Partners, Whale Rock, CoinFund, Ribbit Capital, Carlyle, and Holocene Advisors, the platform delivers Bloomberg-like functionality for digital assets with standardized metrics and consistent data quality.

Platform Components

Artemis Terminal serves as the flagship no-code analytics interface, providing comprehensive project pages with fundamental, financial, economic, and usage metrics in standardized formats. Terminal enables deep protocol analysis through value flows tracking, application activity breakdowns, and customizable dashboards. Institutional analysts can perform comparative analysis across Layer 1 chains, DEX platforms, lending protocols, and other DeFi sectors without SQL knowledge. The platform tracks the top 250 digital assets with historical data for trends analysis and comprehensive sector comparisons.

Artemis Sheets brings crypto data directly into Excel and Google Sheets workflows through the intuitive =ART() formula syntax. Inspired by CapIQ, the plugin eliminates manual CSV downloads with automatic data refresh capabilities. Analysts can build valuation models with live data feeds, create comp tables that update automatically, and track portfolio performance using pre-built templates across different sectors including chains, DEXs, lending protocols, liquid staking tokens, and DePIN projects. Enterprise clients benefit from custom integrations with Dune Analytics, Token Terminal, and other specialized data providers through a single unified interface.

Artemis Datashare provides enterprise-grade access to curated crypto datasets through Snowflake Data Share and Hex integrations. Designed for quantitative teams and data scientists, Datashare eliminates infrastructure burden through zero-copy data sharing, automatic updates, and native performance within client Snowflake environments. The curated tables handle complex data aggregation, transaction labeling, metric standardization, and quality validation, enabling straightforward joins and comparisons across protocols and chains.

Artemis API delivers programmatic access to fundamental metrics for developers building custom analytics applications. The RESTful API exposes comprehensive data including transaction volumes, active addresses, fee metrics, revenue data, TVL, stablecoin flows, DEX volumes, lending utilization, token economics, and governance activity. Quantitative traders integrate the API into algorithmic systems for fundamental factor analysis, while portfolio platforms use it for real-time holdings data and performance attribution.

ART Chat brings AI-powered natural language analysis to crypto research through instant comparable analysis, on-the-fly visualizations, and contextual explanations. Trained on Artemis's institutional datasets, ART Chat identifies appropriate peer protocols, generates publication-ready charts from natural language requests, and explains metric movements by correlating on-chain data with real-time news and governance decisions. The AI integrates predictive market signals from Polymarket and Kalshi to surface divergences between fundamental trends and market expectations.

Data Coverage and Methodology

Artemis focuses on "metrics that matter" for long-term asset valuation, working closely with fundamental analysts to ensure data relevance. Coverage includes fundamental metrics across the top 250+ digital assets, historical data for trend analysis, revenue and fee metrics for blockchains and protocols, ecosystem-level activity breakdowns, value flow tracking across blockchain bridges, developer activity metrics, and protocol economics. The platform maintains consistent data quality through multiple source validation and transparent methodology documentation.

Target Users and Use Cases

Institutional investors leverage the platform for fundamental research, portfolio construction, and risk analysis. Portfolio managers use it for screening new opportunities, building comp tables, and monitoring holdings across DeFi sectors. Research teams employ Artemis for tracking developer activity, analyzing on-chain metrics, and conducting historical analysis to identify trends and correlations. Quantitative trading firms utilize the data for backtesting strategies and building real-time monitoring systems. Protocol teams rely on the platform for competitive intelligence and understanding their position within broader ecosystems.

Integration and Accessibility

The platform ecosystem supports multiple workflow preferences—web interface through Terminal, spreadsheet integration via Sheets, enterprise data warehouse through Datashare, programmatic access via API, and conversational AI through ART Chat. Users can sign up for free access or schedule demos for enterprise features. All products share the same underlying institutional-grade datasets, enabling seamless workflow transitions across different analysis environments while maintaining data consistency.