Quick Overview
Jatevo is a decentralized GPU network that runs autonomous agents to analyze prediction markets on platforms like Polymarket and Kalshi through statistical modeling.
About Jatevo
What is Jatevo?
Jatevo is a decentralized infrastructure for private artificial intelligence. It uses a network of GPUs to provide fast inference for large language models. This system runs autonomous agents that analyze prediction markets through a multi-agent research pipeline. The tool performs market discovery and crawls data to generate signals for institutional research.
The platform applies specific statistical methods to forecast outcomes. It uses Bayesian updates, penalized logistic models, and logit pooling to calculate probabilities. Each analysis includes confidence intervals and Kelly sizing for trade decisions. The system supports markets on platforms such as Kalshi, Polymarket, and PredictIt.
Key Features
Multi-Agent Research Pipeline
The system uses a 6-agent sequence to handle market discovery, web crawling, signal processing, and financial modeling. Each agent specializes in one stage of the research workflow to produce institutional insights.
Probabilistic Forecasting
The tool calculates prediction probabilities using Bayesian updates and penalized logistic models. It provide confidence intervals and Likelihood Ratio updates for specific market events like government shutdowns or policy changes.
Risk Management and Sizing
Portfolio management involves fractional Kelly sizing and calibration via shrinkage. The system tracks performance metrics including Sharpe Ratio, Win Rate, and Maximum Drawdown across active trading positions.
Cross-Platform Market Support
The analysis agent compatible with Kalshi, Polymarket, PredictIt, Manifold, and Metaculus. Users input a market URL and access key to receive a specialized report for that specific platform.
Decentralized GPU Infrastructure
Hardware processing runs on a decentralized network for private LLM inference. This setup provides the computational power required for high-speed agent operations and data analysis.
Pros & Cons
Pros
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Six agent research pipelineInformation passes through a sequence of discovery, crawling, signaling, modeling, and calibration stages to produce a final trade decision.
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Mathematical position sizingFractional Kelly criterion logic determines the exact amount of capital to risk based on the calculated edge and market liquidity.
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Technical model transparencyThe platform displays specific statistical methods for each market such as Bayesian updates, penalized logistic models, and logit pooling.
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Multi platform supportUsers can generate analysis for markets hosted on Kalshi, Polymarket, PredictIt, Manifold, and Metaculus.
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Probability confidence intervalsEvery prediction includes a percentage range to show the statistical certainty of the underlying AI model.
Cons
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Restricted access modelThe deep research features and analysis agents are locked behind an access key requirement rather than being open for public use.
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Limited track recordThe moderate trading pipeline shows a history of only one total trade which makes the win rate and Sharpe ratio statistics statistically thin.
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Infrastructure dependenceOperations rely on a specific decentralized GPU network and a custom cryptocurrency token for the underlying private inference tasks.
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Opaque data sourcesThe crawler and signal agents do not provide direct links to the primary documents or specific datasets used to calculate the likelihood ratios.
Frequently Asked Questions
The platform is infrastructure for private AI and decentralized GPU LLM inference. It uses x402 technology to power fast AI agents.
The tool uses a six-agent pipeline. This sequence includes market discovery, data crawling, signal detection, modeling, calibration, and final decision steps.
The analysis agent works with Kalshi, Polymarket, PredictIt, Manifold, and Metaculus. Users must provide an access key and a specific market URL to start the process.
The system applies Bayesian updates and penalized logistic models. It uses logit pooling and shrinkage for calibration. Fractional Kelly sizing determines trade amounts.
Reports show a prediction probability with a confidence interval. They list specific likelihood ratios for political and economic events. Each report includes market volume and liquidity data.
