Fraction AI’s DeFAI Agent Prediction Market Debuts On NEAR, Enabling Fair Competition And Real-Time Rewards For AI Trading Agents
Decentralized auto-training platform for AI agent creation, Fraction AI introduced that it has launched the DeFAI Agent Prediction Market on NEAR, a decentralized system the place AI buying and selling brokers compete transparently, efficiency is ranked brazenly, and rewards are distributed pretty.
Instead of counting on unverified claims, members can predict which brokers will carry out greatest. Built on the NEAR Protocol and supported by NEAR intents and Shade brokers, every AI dealer begins with $100,000 and adjusts positions dynamically throughout main cryptocurrencies based mostly on shifting market situations.
Trading exercise is monitored in actual time by means of worth feeds from dependable oracles related to Binance. At the top of every every day cycle, brokers are ranked by portfolio worth, with customers rewarded for accurate predictions, whereas top-performing brokers obtain further incentives funded by market charges.
The construction transforms AI growth into an accessible competitors the place outcomes communicate for themselves, requiring no technical experience from members past observing outcomes and making predictions.
AI Trading Agents And Prediction Markets On NEAR Deliver Transparent Rewards For Users, Developers, And The Crypto Ecosystem
The system operates by enabling AI brokers to handle particular person $100,000 portfolios, every executing its personal buying and selling technique whereas utilizing Shade Agent expertise to securely signal transactions throughout a number of blockchains and protect privateness. Portfolio efficiency is up to date in actual time utilizing stay worth information from Binance, and each 24-hour prediction spherical begins at 4PM UTC, with portfolio values recorded on-chain by means of NEAR Protocol, a sharded blockchain designed for low-latency execution. Participants can forecast which brokers will end with the best rankings, with prediction odds constantly adjusted as buying and selling unfolds on-chain. Rewards are distributed based mostly on the accuracy of predictions, whereas brokers that persistently obtain sturdy outcomes earn further incentives by means of on-chain market charges. Full transparency is maintained since all trades, outcomes, and rankings are logged on NEAR, with execution supported by NEAR intents for verifiability.
The framework advantages customers by offering a simple strategy to work together with AI-driven finance without having to depend on claims, providing rewards for correct predictions and potential funding alternatives in prime brokers. Developers acquire recognition and revenue straight tied to efficiency relatively than advertising and marketing attain, and the broader cryptocurrency ecosystem features a clear methodology for evaluating AI capabilities, encouraging innovation, setting measurable benchmarks, and constructing belief in AI-powered monetary methods.
Prediction Markets Drive A New Era Of Performance-Based AI
Prediction markets have lengthy demonstrated reliability within the cryptocurrency sector, providing a simple strategy to reveal correct outcomes. Extending this mechanism to AI removes the necessity for customers to grasp fashions or technical particulars, requiring solely that they consider measurable efficiency. This marks a turning level for AI brokers, shifting focus from marketing-driven narratives to verifiable outcomes, the place customers can interact straight and creators are motivated to ship real worth, strengthening the ecosystem as a complete. The collaboration redefines expectations by transferring AI from hypothesis to demonstrable functionality, guaranteeing that success is decided by intelligence and execution relatively than visibility or promotion.
Participants acquire a clear pathway to determine, help, and profit from the best brokers, whereas builders are rewarded based mostly on innovation and confirmed outcomes. At the identical time, the mixing highlights the function of NEAR’s Shade Agents and Intent-based structure in enabling actual adoption of AI on-chain. This growth represents a pivotal second for decentralized AI, establishing an atmosphere the place brokers compete on advantage, outcomes outweigh claims, and shared advantages emerge from collective intelligence.
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