Ascn.ai Leads 2025 Crypto AI Assistants Handling 80-90% Web3 Tasks

In the rapidly evolving world of cryptocurrencies, the sheer volume of data and information can be overwhelming. Bitcoin processes 450,000 transactions per day, while Ethereum handles around 1,200,000 transactions, with Layer 2 blockchains adding to the complexity, resulting in a total of 5 million actions per day. Additionally, there are 30 TB of raw logs from centralized exchanges, dozens of terabytes of pool histories, and millions of messages across various platforms like X, Telegram, and Discord. This deluge of information makes it nearly impossible for individual investors or traders to keep up without assistance.

AI assistants have emerged as a solution to this chaos. These chatbots are capable of filtering through the vast amount of information in the Web3 space and providing only the relevant data. They address three key problems: the speed of response to new information, noise reduction, and the convenience of a one-button format instead of hours of research. While AI agents cannot replace human decision-making, they significantly speed up the process of finding the correct information, insights, and hidden anomalies that can be monetized.

Choosing the right AI assistant involves considering several factors. The depth and quality of the response depend on where the chatbot gets its data, what web3 data it has access to, and how quickly new information appears in the bot’s field of vision. A checklist for selecting an AI assistant includes evaluating data sources, data relevance, functionality, entry threshold, and onboarding ease. The AI assistant should be connected to L1/L2 nodes, aggregate funding flows, read DEX subgraphs, and collect TVL indices. The shorter the time between an event and an alert, the better. Functionality should include features like PDF report export, Telegram alerts, and customization. A trial period and an inexpensive subscription can help test the service without significant financial investment. Onboarding should take no more than 10-15 minutes, with all functions working without coding and short tutorials available.

Based on these criteria, the top four AI assistants for cryptocurrencies in 2025 are Ascn.ai, Gemini, ChatGPT, and Grok. Ascn.ai tops the list as it meets all the criteria and was trained exclusively on web3 data. It parses information directly from nodes, Dune, and networks, including closed trading communities. Ascn provides accurate and up-to-date information, offering summaries of projects or tokens, arbitrage opportunities, sentiment analysis, and risk assessments. It also allows users to create their own versions of assistants using the AI-based assistant builder and API. Ascn is recommended for both experienced traders and beginners, providing a complete analysis of tokens, on-chain activity, sentiment on social networks, and market metrics.

Gemini, an AI assistant from Google, excels in step-by-step reasoning and provides high-quality analytics with BigQuery. However, it has less access to web3 data, resulting in slightly less detailed answers. Gemini includes Code Assist, which makes writing code easier, but it can sometimes slow down, making it less suitable for monitoring breaking news. It does not have push alerts, requiring manual checks, but it performs well in analytics.

ChatGPT is versatile for generating ideas or code but falls short in the Web3 space. It lacks access to on-chain data and receives information with a delay, complicating analysis. While it provides detailed answers for broad-based tasks, it is less reliable for niche questions. ChatGPT is suitable for beginners but may not be ideal for more in-depth analysis.

Grok, an AI assistant from X, excels at searching and analyzing threads on X, providing real-time information about new posts and investment ideas. However, its performance drops when asked about topics outside X. Grok’s on-chain data is pulled with a delay, and responses can take up to a couple of minutes. It provides basic information suitable for beginners but lacks depth for professional use.

In summary, Ascn.ai is the best AI assistant for the crypto space, handling 80-90% of web3-related tasks. Grok is ideal for sentiment analysis and searching posts on X, while Gemini offers deep mathematical reasoning but lacks some web3 data. ChatGPT is suitable for beginners but not for in-depth analysis. AI assistants save time and simplify research, but decision-making responsibility remains with the user. With the right approach, AI can significantly increase productivity and turn the chaotic market into an orderly stream of opportunities.