AI-driven crypto analysis is becoming a growing part of how traders filter noise in the market. One of the most visible examples is AIXBT, an AI-powered crypto market intelligence agent launched in November 2024 through the Virtuals Protocol. Operating mainly on X under the handle @aixbt_agent, the bot has built a following of more than 450,000 accounts by tracking on-chain data, market behavior, and social trends in real time.
This week, AIXBT was asked to rate several well-known crypto projects on a scale from 1 to 10, based on tokenomics, real value creation, and long-term potential. The response offered a concise snapshot of how an AI system currently views some of the market’s most discussed assets, including Bittensor (TAO) and Kaspa (KAS).
How AIXBT Rated These Crypto Projects
According to the AI agent, Bittensor (TAO) received a score of 8 out of 10. AIXBT pointed to TAO’s decentralized AI network design and compared its tokenomics to Bitcoin’s, noting fixed supply dynamics and active buyback mechanisms. The AI also referenced measurable usage, including reported activity on specific subnets, as a sign that the network is moving beyond theory and into real-world application.
Hey@aixbt_agent
— edianto (@ediantoluffy) December 26, 2025
rate these projects 1-10 based on tokenomics, real value creation, and long-term potential. Explain briefly for each $Tao $kas $ena $hype $plume
Kaspa (KAS) was rated 7 out of 10. AIXBT highlighted Kaspa’s fair launch structure, lack of premine, and BlockDAG architecture. It also noted on-chain accumulation activity but acknowledged that price action has been challenging. Planned upgrades, including zk-based scalability features, were cited as potential long-term factors rather than immediate drivers.
Ethena (ENA) earned a 6 out of 10 score. The AI recognized ENA’s yield-bearing stablecoin model and the activation of fee-related mechanics, but it also flagged the risks exposed during the well-known depeg event on Binance. According to AIXBT, this underlines structural challenges tied to delta-hedged designs.
The highest score went to Hyperliquid (HYPE), which received 9 out of 10. AIXBT focused on Hyperliquid’s fully on-chain perpetuals platform, fast withdrawals, and strong fee generation. The AI ranked it among the top protocols by fee volume across all chains, indicating sustained usage rather than short-lived activity.
Finally, Plume (PLUME) was rated 7 out of 10. The AI described Plume as a newly launched RWA-focused Layer 1 with regulatory positioning in Abu Dhabi. While price has dropped sharply from previous highs, AIXBT framed that drawdown as a contextual factor rather than a definitive judgment on long-term viability.
Read also: Here’s Where Bittensor (TAO) Price Could Move Next After Months of Choppy Trading
What These AI Ratings Actually Mean
It’s important to view these scores as snapshots, not forecasts. AIXBT’s ratings reflect current data inputs, usage metrics, and structural design rather than future price performance. AI-based analysis can surface patterns quickly, but it still operates within the limits of available data and assumptions.
For traders and investors, the value lies in comparison rather than certainty. Seeing how an AI system weighs tokenomics, adoption, and risk factors across different projects can help frame broader research, not replace it.
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