According to reports from BeInCrypto, CoinStats Founder and CEO Narek Gevorgyan explains how the company evolved from a portfolio tracker to a comprehensive crypto-native AI research platform. The platform now covers 120+ blockchains with live on-chain data, market information, and social sentiment analysis. Gevorgyan notes that while tracking portfolios is straightforward, understanding investment decisions requires extensive research across multiple platforms including X, Discord, Etherscan, news sites, analytics dashboards, and exchange pages, which can consume hours of user time.
As reported by BeInCrypto, Gevorgyan highlights that general AI models fall short for serious crypto research due to architecture and data limitations. The CoinStats AI system employs specialized sub-agents that work in parallel, each handling specific tasks such as real-time news analysis, social sentiment scanning, on-chain data across 120+ blockchains, and exchange metrics. The platform offers three research modes: Deep Research for comprehensive multi-source reports, Backtesting for strategy validation against historical data, and Fast Mode for quick lookups. According to Gevorgyan, crypto research requires understanding complex concepts like MEV, slippage, bridge risk, and protocol-specific risk that general models cannot handle effectively.
According to the interview with BeInCrypto, CoinStats addresses privacy concerns through its Private Mode feature, which routes queries through Venice AI's encrypted, decentralized system. This ensures that third-party AI providers cannot access user data when researching wallets, analyzing token flows, or examining positions users prefer to keep private. The platform emphasizes that crypto users prioritize data privacy, and the Private Mode maintains information between users and blockchains without exposing holdings to third-party providers.
As reported by BeInCrypto, CoinStats is expanding beyond user-facing products with comprehensive developer tools including APIs and MCP (Machine-Readable Crypto) support. The platform covers 100,000+ coins and 200+ exchanges across 120+ blockchains, with DeFi positions resolved across 10,000+ protocols at the wallet level. According to Gevorgyan, this data aggregation addresses crypto's structural fragmentation problem, allowing developers to build AI agents, trading tools, and research products without spending years on data aggregation. The MCP server enables IDE-integrated agents to query wallet, DeFi, and portfolio data directly, supporting future workflows where agents monitor risk, rebalance portfolios, and surface opportunities.
According to the BeInCrypto interview, Gevorgyan outlines three key objectives for CoinStats over the next year. The first goal involves expanding the company's lead in crypto-specific research against general-purpose AI through benchmarking and methodology transparency. The second objective focuses on establishing CoinStats API as the default crypto data layer for the agent ecosystem through MCP and x402-powered API integration. The third goal targets expanding beyond research into actionable insights, helping users safely implement investment decisions within the same workflow. Gevorgyan emphasizes that the ultimate goal remains providing every crypto holder with a personal team of analysts working 24/7, with CoinStats AI moving closer to delivering this experience through comprehensive crypto research capabilities.
