Today's Sector Market Cap: $8.38B -2.9%
The sector continues to pull back, $SAHARA has completed TGE and launched on major CEXs, and $BANANAS31 has been experiencing significant fluctuations.
📈 24h Coingecko Trading Volume Top 10:
Token Trading Volume Market Cap 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, detailing how to participate in the AI Agent Launchpad for new projects on Creator.Bid. Creator.Bid uses BID Level to regulate user participation in new projects, with higher BID Levels granting greater allocation weight and less impact from selling penalties. The determination of BID Level will depend on four dimensions: the duration of BID locked in the user's vault, the number of AI Agent tokens staked, the number of AI Agent tokens purchased, and the social InfoFi score.
Comment: Since the launch of Kaito, Creator.Bid has gained more traction online. Its AI Agent Launchpad mechanism is similar to @virtuals_io, but the attempt to replace the points system with BID Level is a good innovation. Let's see how it performs in the future.
- @near_ai tested and introduced @ASIMOV_Protocol and its reasoning results, obtaining precise answers. Asimov Protocol is an innovative project built on the NEAR Protocol, aimed at addressing data quality issues in AI model training using blockchain technology and knowledge graphs, particularly the challenge of 'garbage in, garbage out.'
The Knowledge Graph stores structured facts as entities and relationships, allowing for the discovery of inconsistencies, omissions, and errors in the data, thereby supporting data cleaning and quality improvement.
Comment: The underlying design on Near has always maintained a forward-looking perspective.
- @base has enhanced its document interactivity using AI: users can utilize the AI chatbot and AI smart search provided by Base to understand the content of documents, or directly open documents in ChatGPT or Claude for learning in these mainstream AI chat interfaces; developers can also use the document MCP server to directly transmit context to IDEs to assist in programming.
Comment: Reviewing documents has always been a tedious task, and Base consistently performs excellently in capturing user needs. Looking forward to its performance at the application level.
📊 Data Source: @xhunt_ai, Cookie DAO, Coingecko
💡 Risk Warning: The above is for informational sharing only and is not investment advice.