CoinStats‘ purpose-built crypto AI scored 79 out of 100 on the benchmark — and delivered its results in just 4 minutes. General-purpose competitors took up to 55 minutes to complete the same task.
Crypto tracker app CoinStats has published benchmark results showing its AI Agent outperforms deep research tools from Google, OpenAI, and Anthropic on crypto-specific queries.
The findings come alongside the public beta launch of CoinStats AI Agent, a research copilot built specifically for cryptocurrency analysis.
Benchmark Results
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 just as striking. CoinStats AI Agent returned results in an average of 4 minutes — compared to 23 minutes for Gemini, 22 minutes for Claude, and 55 minutes for ChatGPT.
The benchmark methodology is fully open source and available on GitHub, allowing anyone to review, replicate, or challenge the results. 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 one fundamental limitation: data access. General-purpose tools like ChatGPT, Gemini, and Claude rely primarily on web search to answer crypto questions. They can surface news articles and broad market commentary — but they have no direct line to onchain data, exchange-level metrics, derivatives information, or real-time social sentiment from platforms like X.
CoinStats AI Agent is built differently. Its multi-agent architecture means that when a user submits a query, the system deploys a team of specialized agents working in parallel — one scanning real-time news, another monitoring social media, a third analyzing blockchain data, and others pulling exchange metrics and reviewing the user’s own portfolio. Every thread is then synthesized into a single, cohesive output.
CoinStats calls this “agentic orchestration” — and it’s what allows the tool to deliver insights that would otherwise require manually checking half a dozen platforms, in a fraction of the time.
What CoinStats AI Agent Can Do
CoinStats AI Agent is positioned as a research copilot — not a chatbot. Its feature set is built around the real decisions crypto traders and investors face every day.
Market Research is the core use case. Ask why a coin is moving and the tool pulls from news, derivatives data, social sentiment, and onchain activity simultaneously — connecting the dots across sources rather than returning a single data point.
Onchain Tracking covers wallet monitoring, whale flow analysis, new contract deployments, and token risk scoring across more than 120 blockchains. Powered in part by the CoinStats Crypto API, users can submit any wallet or contract address and receive a full breakdown — no switching between block explorers and analytics dashboards required.
Social Sentiment Analysis tracks what’s being said about any token across crypto communities and influencer accounts in real time. It surfaces KOL mentions, community buzz, and sentiment shifts as they form — not after the fact.
Portfolio Analysis is where CoinStats AI Agent separates itself from standalone research tools. Connected directly to the user’s CoinStats portfolio, it can analyze individual P&L, flag what’s dragging performance, and suggest adjustments based on actual holdings. Users can ask questions like “How much profit did I make on Solana?” and get answers specific to their positions.
Backtesting lets users stress-test trading strategies against historical market data. Want to know how daily $100 BTC purchases over the last two years would have compared to your actual portfolio? The tool can simulate it — helping users validate strategies before committing real capital.
Code Execution gives the AI the ability to write and run code on the fly for more complex analysis, covering custom formulas, advanced comparisons, and wallet breakdowns that go beyond what a standard natural language response can handle.
All outputs are interactive — tables, line charts, and bar charts — rather than walls of text.
Three Modes for Every Use Case
CoinStats AI Agent operates across three distinct modes. Deep Research is the flagship — triggering multi-step reasoning across social media, onchain metrics, technical indicators, and web sources to produce comprehensive, structured reports. Backtesting runs historical strategy simulations against real market data. Fast Mode handles quick, lightweight lookups — prices, basic news, simple queries — without spinning up the full research engine.
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 for users who prioritize privacy above all else.
Availability
CoinStats AI Agent is live in public beta for Degen and Premium plan users across web, iOS, and Android. The company is shipping in beta deliberately — gathering real user feedback to iterate quickly rather than waiting for a polished release.
Founded by Narek Gevorgyan, CoinStats built its reputation as a crypto portfolio tracker supporting wallets and exchanges across the industry. The AI Agent marks the company’s move into AI-powered research tooling — a space where CoinStats argues that vertical, crypto-native solutions have a structural advantage over general-purpose models. The benchmark results suggest they may be right.
