The SportMind Suite

Ready-to-deploy kits.

Four opinionated starting points built on SportMind's open intelligence, reasoning, and context layer. Fork, configure, and ship.

4
Open source kits
0
Paid dependencies
MIT
Licensed
TELEGRAM · MIT LICENSE · BETA

AI agent bots for Telegram.

Deploy SportMind-powered AI agents on Telegram in minutes. Pre-built prompts, configs, and five use cases — backed by SportMind's open intelligence, reasoning, and context layer across 743 files and 42 sports.

4 Prompt files
5 Use cases
0 Paid dependencies
MIT Licensed
View on GitHub → Quick start ↓

Deployment paths

Path A · ~5 minutes
Managed Bot — no hosting needed

Use @LobsterClawBot or any Managed Bot service. Connect SportMind as a system prompt. Zero server setup required.

Path B · ~15 minutes · Recommended
BotFather — your own bot
  1. Open @BotFather on Telegram
  2. Send /newbot and follow the prompts
  3. Copy your bot token
  4. Deploy with your SportMind system prompt on any host
Path C · your timeline
Custom implementation

Full Telegram Bot API build. Any language. Any framework. Maximum flexibility.

Five bots

Fan Token Trading Bot
Fan token signals, FTP PATH_2 supply event intelligence. Canonical: $AFC Arsenal.
fan-tokensports
Match Intelligence Bot
Pre-match briefings for supporter groups. Any club, any competition.
sportsathlete
Calibration Bot
Collect prediction records from your community. First 10 contributors earn Founding Calibrator status.
calibration
Sentiment Monitor
CHI and TVS sentiment snapshots for any fan token community.
fan-token
Macro Event Interpreter
MiCA, CLARITY Act, Chiliz ecosystem, crypto cycle context.
macro

Four prompts

pre-match-signal.md
Full SMS, AFS, PS, and FTP PATH_2 reasoning chain. Structured JSON output.
sentiment-monitor.md
CHI and TVS band definitions, divergence signals, four-quadrant interpretation.
price-movement-explainer.md
Seven-layer cause attribution chain. Checks FTP PATH_2 first.
macro-event-interpreter.md
MiCA, SEC/CFTC, Chiliz ecosystem, crypto cycle context.
Reference implementation
SMI — SportMind's own Telegram agent — is the reference implementation of this kit. Fork this repository to build your own.
CHILIZ CHAIN · MIT LICENSE · BETA

Fan token wallets powered by SportMind.

A starter kit for building AI agents that manage fan token payments, governance, and trading on Chiliz Chain — with SportMind intelligence embedded from the start.

4 Intelligence layers
5 Examples
0 Extra dependencies
MIT Licensed
View on GitHub → Quick start ↓

Four intelligence layers

Layer 1
Macro
Regulatory posture, crypto cycle phase, geopolitical risk. Gates all execution.
macro/
Layer 2
Fan token
CHI, AFS, TAI, FTP PATH_2 supply mechanics. Core commercial signal.
fan-token/
Layer 3
Sports
SMS, match direction, event type. Only active when match is within 48h.
sports/
Layer 4
Athlete
Form modifier, availability, star departure risk. Refines match signal.
athlete/

Quick start

terminal
01git clone https://github.com/SportMind/fan-token-agentic-wallet-starter-kit
02npm install
03cp .env.example .env
04npm run demo:sportmind

Five examples

SportMind Layer Demo
How intelligence flows into decisions. Start here.
npm run demo:sportmind
FTP PATH_2 Supply Event
Detect CHZ_BURN before the market.
example:ftp-path2
Match-Day Wallet
SMS-driven entry and exit.
example:matchday
Portfolio Rebalancing
CHI-weighted allocation.
example:portfolio
Governance Agent
TAI and AFS gated voting.
example:governance

Guardrails

ParameterDefault value
DAILY_SPEND_CAP_CHZ100 CHZ
APPROVAL_THRESHOLD_CHZ20 CHZ
EXECUTION_MODEconfirm
MACRO_OVERRIDE_BLOCKStrue
These are example defaults. Configure for your use case before deploying in any live environment.

Fan token registry

sportmind fan token registry · 84 verified tokens · May 2026

The SportMind fan token registry documents 84 verified tokens across Chiliz Chain, BNB Chain, BITCI Chain, and Ethereum. One token has confirmed FTP PATH_2 mechanics.

TokenClubFTP PATH_2
$AFCArsenal FCConfirmed ✓ Model 2
All others83 tokensDemand only
Full registry: fan-token/registry/complete-registry.md · 84 tokens · 246 contract addresses
INTELLIGENCE AGENT · MIT LICENSE · BETA

Source monitoring. Signal classification. Structured briefings.

Monitors public sources on a schedule. Classifies signals against SportMind's three-tier framework. Applies the Library Rule before recommending library additions. You decide what enters the library. SMI is the reference implementation.

5 Source categories
3 Delivery options
1 Rule
MIT Licensed
SMI live
View on GitHub → How it works ↓

Five-step pipeline

01
Source monitoring
Scans regulatory, Chiliz ecosystem, sports calendar, macro, and fan token sources on a defined schedule.
02
Signal classification
Every signal classified as Tier 1 (immediate), Tier 2 (corroborating), or Tier 3 (context only).
03
Library Rule applied
"Will this intelligence still be true and useful in six months?" Passes → recommend addition. Fails → expire or monitor.
04
Structured briefing
Signals formatted with source, tier, affected file, analyst brief, modifier value, and action block.
05
Human decision
You review. You approve. You paste the action block into the build chat. Zero autonomous commits.

Source categories

Regulatory
CLARITY Act, MiCA, SEC/CFTC, jurisdictional updates.
Chiliz ecosystem
chiliz.com/blog — PRIORITY_1. New partnerships, token launches, protocol updates.
Sports calendar
Competition results, major events, tournament progression.
Macro
BTC NUPL, crypto cycle phase, institutional signals.
Fan token specific
Registry updates, governance votes, supply events, fraud signals.

Three delivery options

Telegram
Structured briefings to a Telegram group. HTML parse_mode. Part 1/N format. ▓▓▓ action blocks. Reference: SMI Telegram agent.
Scheduled report
Markdown or HTML briefing on a cron schedule. Save to file, email, or webhook.
GitHub Issues
Automated consistency checker creates Issues for library maintenance. Phase 1 of sportmind-automation.
The Library Rule
"Will this intelligence still be true and useful in six months?"

YES → recommend addition to SportMind.
NO → flag as expiring. Do not add.
Reference implementation
SMI has been running since May 2026. It monitors sources, classifies signals, and delivers structured briefings to the SportMind Telegram group. The ▓▓▓ action blocks it produces are pasted directly into the build chat. Zero autonomous commits.
MCP SERVER · MIT LICENSE · BETA

SportMind intelligence as callable tools for Claude Desktop.

Exposes SportMind's five intelligence layers as MCP tools for Claude Desktop and any MCP-compatible AI agent. Confirmed working: 2026 UCL Final — all five layers loaded, SMS 100, pre-match signal produced 48 hours before kickoff. Direction CORRECT.

5 Tools
0 API calls
Claude Desktop ✓
MIT Licensed
SMS 100 verified
View on GitHub →

Five tools

sportmind_pre_match
Full pre-match signal — all five layers. Returns direction, adjusted score, SMS, confidence, and flags.
sportmind_macro
Current macro regime, regulatory jurisdiction, crypto cycle phase. Override conditions.
sportmind_fan_token_lookup
Fan token context by club or ticker. FTP model, supply mechanics, omnichain status, registry data.
sportmind_signal
Team-level signal with athlete and form modifiers applied.
sportmind_sentiment_snapshot
Demand and sentiment snapshot for a fan token at a given moment.
Verified example
2026 UCL Final — PSG vs Arsenal.

SMS 100. All five layers loaded. Pre-match signal T-48h: PSG edge, MEDIUM confidence. Direction: CORRECT ✓. Record #130 · sportmind.dev/first-record/
Coming soon
sportmind-automation
Automated library maintenance and signal pipeline. GitHub Actions plus Claude API. Consistency checks, version management, and release notes — automated.

Free to use.
Free to build on.

MIT licensed. Compatible with any LLM.
Intelligence, reasoning, and context — ready to deploy.

View on GitHub → See all use-cases →