About SIRE

The first autonomous sports intelligence network designed for prediction markets.

SIRE is an agentic, on-chain sports-betting hedge fund that transforms live sports data into deployable intelligence. It fuses Score Vision’s decentralised computer-vision engine with advanced quantitative models to identify market inefficiencies and make them accessible through on-chain tools.

Core Products

• aVault — Automated strategy pools where users can add USDC to receive aVault units and access model-driven execution.

• aLink — A token-gated LLM terminal for SIRE holders, offering live model insights, market mispricing alerts, and quantitative reasoning in plain language.

How It Works

SIRE connects quantitative modelling, visual intelligence, machine learning, and DeFi infrastructure within a single adaptive framework. The system ingests real-time match footage and market data, analyses probabilities through proprietary models, and continuously refines its predictions based on live outcomes.

The Goal

To democratise institutional-grade sports intelligence: turning every match into an opportunity for data-driven participation, with transparent systems and permissionless access.

SIRE makes advanced sports analytics and agentic execution accessible to everyone, transforming real-world sports activity into an on-chain, uncorrelated potential yield stream driven by data rather than market speculation.

Tokenomics at a Glance

SIRE’s token economy aligns network activity with long-term sustainability. Each action: adding to aVault, staking, or using aLink, feeds into transparent on-chain fee flows designed to support the protocol.

Core Utilities

• Stake – Participate in fee-funded potential uncorrelated returns from SIRE products adoption.

• Access – Unlock aLink and its analytical tools using SIRE.

• Reduce Fees – Lower aVault withdrawal and performance fees through staking.

• Buybacks – A share of protocol activity funds' ongoing SIRE buybacks.

For full details on fees, distributions, and buyback mechanisms, see the Tokenomics page