The current real-time price of AGIALPHA is $0.0023. In the past 24 hours, AGIALPHA has traded between $0.0023 and $0.0024, showing strong market activity. The all-time high of AGIALPHA is $0.0499, and the all-time low is $0.0005.
From a short-term perspective, the price change of AGIALPHA over the past 1 hour is , over the past 24 hours is +2.41%, and over the past 7 days is -1.97%. These figures provide a quick overview of the latest price trends and market dynamics of AGIALPHA on LBank.-1.95%
The live price of AGIALPHA today is $0.0023, with a current market cap of $2.388M. The 24-hour trading volume is 86.94. The price of AGIALPHA to USD is updated in real time.
Before deciding whether to buy or sell AGIALPHA, you should first consider your own trading strategy. Long-term traders and short-term traders follow different trading approaches. LBank’s AGIALPHA 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 AGIALPHA.
How much will AGIALPHA be worth tomorrow, next week, or next month in ? What about your AGIALPHA assets in 2025, 2026, 2027, 2028, or even 10 or 20 years from now? Check now! AGIALPHA Price Prediction
To learn more about AGIALPHA, consider exploring other resources such as the whitepaper, official website, and other published information:
Top 5 addresses | Holding amount | Holding ratio | |
|---|---|---|---|
solana | 3pixb2...o5DQKQ  | 100.000M | 10% |
solana | 3jDen8...4UUbBk | 99.999M | 10% |
solana | Czx3gx...xL1pmn | 99.999M | 10% |
solana | C9KxCx...ZLh6fn | 62.434M | 6.24% |
solana | 5Q544f...pge4j1 | 39.846M | 3.98% |
Other | 597.708M | 59.77% |
AGI ALPHA AGENT is a Web3-native AI orchestrator designed to solve complex, multi-stage tasks. Unlike a standard chatbot, it functions as a "Meta-Agent" that can spawn, command, and evaluate specialized sub-agents. These sub-agents work in coordination to complete intricate end-to-end missions, such as business strategy development, software coding, or detailed market analysis. It acts as a central intelligence hub that manages specialized AI workers to achieve high-level goals.
The "Meta-Agentic" framework is the core architectural innovation of the project. It refers to a system exercising "second-order agency." Rather than simply performing a direct task requested by a user, the AI operates as a manager. It oversees a population of other agents, delegating specific roles and coordinating their outputs to achieve a larger objective. This management layer allows for more sophisticated problem-solving than traditional, single-agent AI systems.
The $AGIALPHA token serves three primary utility functions. First, it acts as "prepaid credits" required to access and utilize the AGI Alpha Agent network. Second, it functions as an escrow mechanism; users lock tokens as bounties for AI jobs, which are only released to the sub-agent upon successful task completion. Third, it is used for incentives, rewarding network validators and human quality-checkers for maintaining the system’s integrity and performance.
Yes, the ecosystem includes a strategic burn mechanism to manage the token supply. A 1% burn fee is applied to every job payout within the network. When an AI agent successfully completes a task and the escrowed bounty is released, a portion of that payment is permanently removed from circulation. This deflationary pressure is designed to concentrate value as network activity and the volume of completed tasks increase over time.
The project was founded by Vincent Boucher, the President of Montreal.AI and a recognized pioneer who ranked first globally on the OpenAI Gym leaderboard in 2016. The project is built upon a 2017 "Multi-Agent AI DAO" blueprint. This architectural vision, established long before the current AI boom, envisioned decentralized swarms of AI agents governed by smart contracts on the blockchain to ensure transparency, autonomy, and efficient coordination.
The $AGIALPHA token is available on leading trading platforms, including LBank and various decentralized exchanges. To participate further in the ecosystem, users can access a staking dashboard where they lock tokens to earn a share of network emissions and gain governance voting power. The system is designed to reward long-term commitment, with longer lock-up periods providing higher reward multipliers for participants who help secure the network.
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