SportMind is the reasoning layer — intelligence, context, and signal classification. Pair it with a data layer and an execution layer to build a complete fan token intelligence stack.
The three-layer stack
Data layer
Fan Token Intel
Whale flows, match correlation, on-chain metrics, multi-chain identity
→
Reasoning layer
SportMind
Signal classification, CDI gates, regulatory modifiers, compound framework
→
Execution layer
Kayen Finance
OKX DEX routing, fan token swaps, on-chain execution
Each layer does one job. FTI describes what is happening on-chain and in the market. SportMind classifies what it means and whether to act. An execution layer carries out the decision. No layer substitutes for another.
Data layer · Live
Fan Token Intel
The descriptive intelligence layer for fan token agents. Whale flows, 2,300+ matchdays of match-to-price correlation, on-chain metrics, and multi-chain token identity across 80 tokens — every datum tagged with freshness, source, and sample size.
Fan Token Intel brings
Data — what is happening
CEX whale distribution flows — Binance-primary, 4h rolling
2,300+ matchdays of match-to-price correlation
On-chain metrics: staking, LP pools, DEX activity
Multi-chain identity: contract, decimals, pool, price, TVL
Composite 0–100 token health matrix, recomputed every 5 min
Fan token commerce toolkit. SportMind adds pre-match intelligence and signal classification to every kit interaction.
Execution layer · Agentic Finance
Kayen Finance
OKX DEX routing and fan token swap execution. SportMind's compound signal output feeds directly into execution decisions — without the agent conflating data and reasoning.
Your integration
Built something on SportMind?
Open a GitHub issue or reach out on X. If it pairs with SportMind and adds something new to the stack, it belongs here.
Free to use. Free to build on.
MIT licensed. Compatible with any LLM. The reasoning layer is ready — pair it with your stack.