CoinStats AI Agent Outperforms Gemini, Claude, and ChatGPT in Open Source Crypto Deep Research Benchmark

CoinStats’ purpose-built crypto AI scored 79 out of 100 and delivered results in 4 minutes, while general-purpose competitors took up to 55 minutes.

Crypto tracker app CoinStats has released benchmark results showing its AI Agent outperforms deep research tools from Google, OpenAI, and Anthropic on crypto-specific queries. The results come alongside the public beta launch of CoinStats AI Agent, a research copilot designed specifically for cryptocurrency analysis.

Benchmark Results

In a benchmark using an AI judge to evaluate the quality of crypto research outputs, CoinStats AI Agent scored 79 out of 100. Gemini Deep Research came in second at 67, followed by ChatGPT Deep Research at 61, and Claude Deep Research at 58.

The speed gap was equally notable. CoinStats AI Agent returned results in an average of 4 minutes. Gemini took 23 minutes, Claude 22 minutes, and ChatGPT 55 minutes.

The benchmark methodology is open source and available on GitHub, allowing anyone to review, replicate, or challenge the results. The evaluation criteria cover accuracy, depth, recency, and actionability of crypto research responses.

Why General-Purpose AI Falls Short on Crypto

The performance gap, according to CoinStats, comes down to data access. General-purpose AI tools like ChatGPT, Gemini, and Claude rely primarily on web search to answer crypto questions. They can surface news articles and general market commentary, but they lack direct access to onchain data, exchange-level metrics, derivatives information, and real-time social sentiment from platforms like X.

CoinStats AI Agent is built on a multi-agent architecture. When a user submits a query, the system deploys specialized agents that work in parallel. One agent searches real-time news. Another scans social media. A third analyzes blockchain data. Others check exchange data, review the user’s portfolio, and synthesize findings into a single output. CoinStats refers to this as “agentic orchestration,” and it is what enables the tool to pull together insights that would otherwise require checking multiple platforms manually.

What CoinStats AI Agent Can Do

The product is positioned as a research copilot rather than a simple chatbot. Its feature set is built around use cases that crypto traders and investors encounter daily.

Market Research is the core use case. Users can ask why a coin is moving and receive an answer that draws from news, derivatives data, social sentiment, and onchain activity. The tool connects the dots across these sources rather than returning a single data point.

Onchain Tracking covers wallet monitoring, whale flow analysis, new contract deployments, and token risk scoring. The system supports over 120 blockchains and can analyze wallet behavior, token flows, and project treasury activity, powered in part by the CoinStats Crypto API, which serves as a direct data source for onchain and portfolio information. Users can submit a wallet or contract address and receive a breakdown without switching between block explorers and analytics dashboards.

Social Sentiment Analysis tracks what is being said about any given token across crypto communities and influencer accounts. It surfaces KOL mentions, community buzz, and overall sentiment in real time, helping users catch narrative shifts as they form rather than after the fact.

Portfolio Analysis differentiates CoinStats AI from standalone research tools. Because it connects to the user’s CoinStats portfolio, it can analyze individual P&L, suggest adjustments, and provide insights based on actual holdings. Users can ask questions like “How much profit did I make on Solana?” or “What’s dragging my portfolio down?” and get answers specific to their positions.

Backtesting allows users to test trading strategies against historical market data. A user could, for example, ask the tool to simulate investing $100 in BTC daily over the last two years and compare the results to their actual portfolio performance. The feature is designed to help users validate strategies before committing capital.

Code Execution gives the AI the ability to write and run code on the fly for more complex analysis. This covers custom formulas, advanced comparisons, and wallet analysis that goes beyond what a standard natural language response can provide.

The tool also generates interactive outputs including tables, line charts, and bar charts, rather than returning text-only responses.

Three Modes

CoinStats AI Agent operates in three modes. Deep Research is the flagship, triggering multi-step reasoning across social media, onchain metrics, technical indicators, and web sources to produce comprehensive reports. Backtesting runs historical strategy simulations. Fast Mode provides quick, lightweight answers for simple lookups like prices or basic news. A separate Private Mode, powered by Venice AI, routes all queries through encrypted, decentralized infrastructure, ensuring no data is shared with third-party AI providers.

Availability

CoinStats AI Agent is currently available in public beta for Degen and Premium plan users across web, iOS, and Android. The company says it is shipping in beta intentionally to gather user feedback and iterate quickly.

CoinStats, founded by Narek Gevorgyan, is a crypto portfolio tracker platform that supports tracking across wallets and exchanges. The AI Agent represents the company’s move into AI-powered research tooling, an area where it argues vertical, crypto-native solutions have a structural advantage over general-purpose models.