Fraction AI’s Defai Agent prediction market debuts nearby to enable fair competition and real -time compensation for AI trading agents.
Alisa Davidson
Post: September 3, 2025 3:25 AM Update: September 3, 2025 3:02 AM
Edit and fact confirmation: September 3, 2025, 3: 2 am
simply
The Fraction AI began the Defai Agent Prediction Market where the AI Trading Agents competed transparently, the user was rewarded for accurate predictions and incentives for developers.
Fraction AI, a decentralized automatic training platform for AI agent creation, announced that the AI trading agent has introduced the Defai Agent Prediction Market, a distributed system in which the AI trading agent is transparent, and the performance is openly ranked and the reward is distributed fairly.
Instead of relying on unproven claims, participants can predict which agent will do best. Each AI trader, which is based on a nearby protocol and almost supported by the shade agent, starts at $ 100,000 and dynamically adjusts the position in major cryptocurrency according to the shipping market situation.
Trading activities are monitored in real time with a reliable Oracle’s price feed connected to Binance. At the end of each daily period, the agent is ranked with a portfolio value, and the user is rewarded for accurate predictions, and the highest performance agent will receive additional incentives to fund the market with market fees.
This structure changes the development of AI into an accessible competition, and the results speak for themselves.
The nearest AI trading agent and prediction market provide transparent rewards for users, developers and encryption ecosystems.
The system operates by allowing the AI agent to manage individual $ 100,000 portfolio, and to run its own transaction strategy, use Shade Agent technology to signal transactions on multiple block chains and preserve personal information. The portfolio performance is updated in real time using Binance’s live price data, starting at 4PM UTC every 24 hours, and the portfolio value starts with a shard block chain, a chad block chain recorded through a short -range protocol. Participants can predict which agent will be finished in the highest ranking, and the probability of prediction is constantly adjusted when trade is chained. While the reward is distributed according to the accuracy of the prediction, the agent, which continues to achieve strong results, obtain additional incentives through the warm chain market fee. Since all transactions, results, and rankings are recorded nearby, the entire transparency is maintained and enforcement is supported by almost intentions for the possibility of verification.
This framework benefits the user by providing a simple method that interacts with AI -centric finance without relying on a claim, and provides a potential investment opportunity for the best predictions and the best agent. The developer gains direct recognition and income directly to the performance rather than the marketing range, and the broader cryptocurrency ecosystem assesses AI functions, encourages innovation, sets measurable benchmarks, and builds a transparent way to build confidence in AI driving financial system.
The prediction market leads the era of new performance -based AI
The predictive market has long provided a simple way to show accurate results by showing reliability in the Cryptocurrency sector. If you expand this mechanism to AI, you do not need to understand the model or technical details and evaluate the measurable performance. This is a turning point of the AI agent, which is a verified result in marketing -oriented stories, and the user can directly participate and motivate the creator to strengthen the ecosystem as a whole. Collaboration moves AI from speculation to an obvious function, and decides to succeed by intelligence and execution rather than visibility or promotion by financing expectations.
Participants get a transparent path to obtain the most effective agent identification, support and benefits, while developers are rewarded based on innovation and proven results. At the same time, integration emphasizes the role of the nearest shade agent and the intention -based architecture that enables the actual adoption of AI -on chain. This development represents the pivotal moment of the distributed AI, and the agent competes in the merit, the results surpass the claim, and the common benefits are established from collective intelligence.
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About the author
Alisa, a dedicated reporter for MPOST, specializes in the vast areas of Cryptocurrency, Zero-ehnowedge Proofs, Investments and Web3. She provides a comprehensive coverage that captures a new trend and a keen eye on technology, providing and involving readers in a digital financial environment that constantly evolves.
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Alisa Davidson
Alisa, a dedicated reporter for MPOST, specializes in the vast areas of Cryptocurrency, Zero-ehnowedge Proofs, Investments and Web3. She provides a comprehensive coverage that captures a new trend and a keen eye on technology, providing and involving readers in a digital financial environment that constantly evolves.
More