Biteye AI Daily Report June 27

Today’s zone market capitalization: $8.38B -2.9%

The zone continues to adjust, $SAHARA has completed its TGE launch on major CEXs, and $BANANAS31 has experienced significant volatility with sharp rises and falls in recent days.

📈Top 10 Coingecko Trading Volume in 24h: Token Trading Volume Market Capitalization Price Volatility 1- $SAHARA $657.0M $170.3M $0.08 -41.4% 2- $BANANAS31 $211.1M $75.7M $0.01 -52.6% 3- $VIRTUAL $195.2M $926.8M $1.42 -1.9% 4- $TAO $129.7M $2.9B $323.18 -0.4% 5- $AIXBT $53.3M $121.4M $0.13 -2.1% 6- $AI16Z $52.2M $146.2M $0.13 -5.7% 7- $PROMPT $49.5M $28.8M $0.13 -2.1% 8- $TUT $44.0M $46.0M $0.06 -7.7% 9- $KAITO $41.8M $329.8M $1.37 -2.9% 10- $COOKIE $19.1M $88.4M $0.16 -3.5%

⭐️Key Information

• @CreatorBid has released the V2 User Guide, which details how to participate in the AI Agent Launchpad new launch on Creator.Bid. Creator.Bid uses BID Level to regulate users’ priority in participating in new launches. The higher the BID Level, the more one can enjoy higher allocation weights and less impact from sell penalties, among other benefits. The determination of BID Level will be based on four dimensions: the duration of locked BID in the user’s treasury, the number of staked AI Agent tokens, the number of purchased AI Agent tokens, and the social InfoFi score.

Comment: Creator.Bid has seen an increase in online presence since launching on Kaito. Its AI Agent Launchpad mechanism is similar to @virtuals_io, but replacing the points system with BID Level is a good attempt and innovation. Let’s see how it performs in the future.

• @near_ai tested and introduced the @ASIMOV_Protocol and its inference results, obtaining accurate answers. Asimov Protocol is an innovative project built on NEAR Protocol, aiming to solve data quality issues in AI model training through blockchain technology and knowledge graphs, particularly addressing the challenge of “garbage in, garbage out.”

A knowledge graph stores structured facts as entities and relationships, allowing for the discovery of inconsistencies, omissions, and errors in the data, thereby supporting data cleansing and quality improvement.

Comment: The underlying foundational design of Near always maintains a forward-looking perspective.

• @base enhances the interactivity of its documents using AI: Users can utilize the AI chatbot and AI smart search provided by Base to understand the content of the documents, and they can also directly open the documents in ChatGPT or Claude to learn on these mainstream AI chat interfaces; developers can also use the document MCP server to directly transfer context to the IDE to assist in programming.

Comment: Reviewing documents has always been a tedious task. Base has consistently excelled in capturing user needs, and we look forward to its performance at the application layer.

📊 Data source: @xhunt_ai, Cookie DAO, Coingecko

💡Risk warning: The above is for information sharing only and is not investment advice.