The current real-time price of CHAT is $0.0025. In the past 24 hours, CHAT has traded between $0.0025 and $0.0025, showing strong market activity. The all-time high of CHAT is $0.2999, and the all-time low is $0.0016.
From a short-term perspective, the price change of CHAT over the past 1 hour is , over the past 24 hours is +0.04%, and over the past 7 days is +0.21%. These figures provide a quick overview of the latest price trends and market dynamics of CHAT on LBank.-0.84%
The live price of CHAT today is $0.0025, with a current market cap of $255.264K. The 24-hour trading volume is 152.37. The price of CHAT to USD is updated in real time.
Before deciding whether to buy or sell CHAT, you should first consider your own trading strategy. Long-term traders and short-term traders follow different trading approaches. LBank’s CHAT technical analysis can provide you with trading references.
What will the value be? You can use our price prediction tool to conduct short-term and long-term price forecasts for CHAT.
How much will CHAT be worth tomorrow, next week, or next month in ? What about your CHAT assets in 2025, 2026, 2027, 2028, or even 10 or 20 years from now? Check now! CHAT Price Prediction
To learn more about CHAT, consider exploring other resources such as the whitepaper, official website, and other published information:
Top 5 addresses | Holding amount | Holding ratio | |
|---|---|---|---|
ethereum | 0xdba6...c25caf  | 25.000M | 25% |
ethereum | 0x45fe...478a70 | 19.073M | 19.07% |
ethereum | 0xafb9...e5dcc9 | 5.000M | 5% |
ethereum | 0x2781...adaa6d | 2.677M | 2.68% |
ethereum | 0x7bfd...b81984 | 2.101M | 2.1% |
Other | 46.147M | 46.15% |
VectorChat.ai is a decentralized AI platform designed for the creation, sharing, and monetization of intelligent chatbots. Its core technological advantage lies in the use of vector databases. This allows chatbots to maintain "long-term memory" by processing and retrieving information from massive datasets, such as PDFs and URLs, far exceeding the context window limitations found in traditional AI models.
VectorChat.ai differentiates itself from mainstream Web2 AI services through its decentralized architecture and creator-centric economy. Key differences include the ability for creators to monetize their work directly via Web3 integrations and significantly higher data upload limits. While traditional services often restrict the amount of knowledge a bot can hold, VectorChat.ai uses specialized technology to handle much larger datasets.
The platform is designed to be model-agnostic, supporting a variety of powerful "brains." Currently, it integrates several high-performance mainstream models alongside decentralized models sourced from AI-focused networks. This flexibility allows users and creators to choose the specific intelligence profile that best suits their bot's purpose.
The CHAT token serves as the fundamental utility asset for the platform. It is used to pay for inference fees during bot interactions, cover monthly subscriptions for access to specialized premium characters, and facilitate rewards for creators. This creates a functional economy where value is exchanged between those using the AI services and those developing them.
Technical users can enhance their bots by uploading custom datasets through the platform's dashboard. These files are converted into mathematical coordinates known as vectors. This process allows the AI to efficiently search and retrieve specific information from the uploaded data during a conversation, effectively providing the chatbot with a searchable long-term memory.
Creators have multiple ways to monetize their AI characters. The platform supports a variety of decentralized revenue models, including setting one-time access fees, recurring monthly subscriptions, or a pay-per-message (inference) model. This empowers developers to earn based on the popularity and utility of the bots they build and train.
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