Use-cases

What SportMind
makes possible.

These are a few examples of what developers, analysts, and builders have started with. They are not a complete list — they are a starting point. SportMind is an open intelligence, reasoning, and context layer. What gets built on top of it is limited only by your imagination.

View on GitHub → Explore use-cases ↓

SportMind is not a product with a defined feature set. It is an open intelligence, reasoning, and context library. The use-cases below are examples — not a ceiling.

Developers are not limited to the provided suite kits. Build your own agents, tools, pipelines, and kits using SportMind as your intelligence foundation. Any LLM. Any platform. Any use-case. MIT licensed and zero external dependencies.

The intelligence layers are not fixed either — SportMind grows over time, building toward a complete Mind for Sports. Every new layer makes every use-case smarter.

LIVE
⚡
SMI — Intelligence Briefing Agent
Monitors public sources, classifies signals against SportMind's three-tier framework, applies the Library Rule, and delivers structured weekly briefings with intelligence, reasoning, and context.
Layers
All six Extended reasoning architecture Eight Mind dimensions
Built on intelligence-agent kit
Cost Reference implementation
See how SMI works →
BUILD THIS
◎
Pre-Match Signal Bot
Returns a full SportMind pre-match signal in plain English on demand — direction, confidence, key modifiers, and FTP PATH_2 supply event estimate for $AFC matches.
Layers
Sport domain Athlete Fan token Macro
Built on telegram-ai-bot-starter-kit
Cost Minimal — see model provider pricing
Build this →
BUILD THIS
◈
Fan Token Fraud Checker
Runs four-source verification on any token claiming sports affiliation. Returns VERIFIED OFFICIAL or UNVERIFIED with full reasoning. Critical during World Cup when fraudulent tokens proliferate.
Layers
Fan token Verification Fraud risk
Built on telegram-ai-bot-starter-kit
Cost Minimal — see model provider pricing
Build this →
BUILD THIS
📅
Season Intelligence Agent
Combines live fixture data with SportMind's competition calendar framework to produce weekly structured intelligence — which matches matter, which carry FTP PATH_2 supply event potential, and which fixture windows create performance risk. SportMind provides the reasoning. You provide the live schedule data.
The schedule changes every season. The intelligence does not.
Layers
Sport domain Athlete Fan token Market Seasonal patterns FTP PATH_2 All 14 Mind dimensions
Built on
intelligence-agent kit
Cost
Minimal — see model provider pricing
Model
Gemini Flash
Build this →
BUILD THIS
◉
Daily Fan Token Digest
Plain English daily brief for fan token holders — match results, supply events, price context, and what to watch. No jargon. Built for fans not developers.
Layers
Fan token Sport domain Macro Seasonal
Built on telegram-ai-bot-starter-kit
Cost Minimal — see model provider pricing
Build this →
BUILD THIS
↗
Weekly Fan Token Portfolio Brief
Personalised weekly assessment of specified fan token holdings — macro environment, upcoming match calendar, FTP PATH_2 events, portfolio correlation, and key signals to watch.
Layers
Portfolio Seasonal Macro Fan token
Built on intelligence-agent kit
Cost Minimal — see model provider pricing
Build this →
BUILD THIS
◇
Fan Token Compliance Checker
Assesses whether a proposed fan token feature or utility is compliant under the CLARITY Act framework. Activity-based versus passive yield. Classification risk. Plain English verdict with reasoning.
Layers
Yield compliance CLARITY Act Classification
Built on fan-token-agentic-wallet-kit
Cost Minimal — see model provider pricing
Build this →
BUILD THIS
★
Calibration Record Submitter
Walks contributors through generating a pre-match signal and recording the outcome as a verified calibration record. Lowers the barrier to becoming a Founding Calibrator — no technical knowledge required.
Layers
All six Signal confidence
Built on telegram-ai-bot-starter-kit
Cost Minimal — see model provider pricing
Build this →
BUILD THIS
◎
Sports Intelligence Research Tool
Full SportMind reasoning chain for any match, tournament, or fan token scenario. Structured analysis with intelligence, reasoning, and context behind every claim. Built for journalists, analysts, and researchers.
Layers
All six Counterfactual Uncertainty
Built on intelligence-agent kit
Cost Minimal — see model provider pricing
Build this →

Open platform

Build your own.

The use-cases above are built using SportMind's open suite kits — but you are not limited to them.

SportMind is an intelligence, reasoning, and context library. Load the relevant skill files as context for any agent, any model, and any platform. Build pipelines, tools, workflows, and kits that the SportMind team has not thought of yet.

Some starting points developers have explored:

—Agentic wallets that execute fan token positions based on SportMind signals within defined risk parameters
—Discord bots delivering pre-match intelligence to sports communities
—Automated research pipelines combining SportMind sport domain intelligence with live data feeds
—Custom MCP servers exposing SportMind as a queryable knowledge base for any MCP-compatible agent
—Trading strategy backtesting tools using SportMind's calibration records as historical signal validation

These are directions — not instructions. The library is ready. What you build is yours.

Clone the library → Read CONTRIBUTING.md →

Any LLM

SportMind works with any model.

High volume · Cost-efficient
Gemini Flash · Claude Haiku
High-volume consumer tools, fraud checkers, daily digests, simple signal bots
Cost: Minimal — see model provider pricing
Balanced · Recommended
Gemini Pro · Claude Sonnet · GPT-4o
Weekly briefings, portfolio analysis, compliance checks, journalist tools
Cost: Minimal — see model provider pricing
Complex reasoning · Deep analysis
Claude · Gemini Ultra
Multi-signal analysis, counterfactual reasoning, full SportMind reasoning chains
Cost: Minimal — see model provider pricing

SportMind is model-agnostic by design. The intelligence, reasoning, and context are in the library — not the model. SMI, the reference implementation, runs on Claude. Your implementation can run on anything.

The library is ready.
What will you build?

MIT licensed. Zero external dependencies. Compatible with any LLM, any platform, any use-case. Intelligence, reasoning, and context for the sports industry — free to use and free to build on.

View on GitHub → Find your starting point →