EdgeBets is a high-performance sports simulation engine that uses Monte Carlo analysis to identify betting edges and predict game outcomes.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sdk
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install sdk using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is EdgeBets Sports Simulation?
EdgeBets is a sophisticated analytical tool designed for bettors and developers who demand data-driven insights. By integrating this skill via Openclaw Skills, users gain access to professional-grade Monte Carlo simulations that run 10,000 iterations per game to determine win probabilities, projected scores, and value edges across major sports leagues including the NBA, NFL, MLB, and MLS.
The skill leverages the Solana blockchain and the x402 protocol to provide a seamless, pay-per-use model for deep technical analysis. Whether you are looking for a daily pick or performing a deep dive into specific matchups, EdgeBets transforms raw sports data into actionable betting intelligence.
EdgeBets Sports Simulation Use Cases
- Running high-volume Monte Carlo simulations to find betting value.
- Comparing sportsbook odds against AI-projected win probabilities.
- Accessing expert Pick of the Day selections with historical performance tracking.
- Automating sports data retrieval for NBA, NFL, MLB, and MLS matchups.
- Calculating bankroll management strategies using integrated Kelly Criterion recommendations.
How EdgeBets Sports Simulation Works
- The user requests game data or a simulation for a specific sport using natural language or API calls.
- Openclaw Skills retrieves real-time game IDs and schedules from the EdgeBets SDK.
- For simulations, the skill initiates a Solana transaction (0.50 USDC) via the x402 protocol.
- The engine executes 10,000 simulation loops considering various team and player factors.
- The system returns a comprehensive breakdown including score projections, spread predictions, and the detected statistical edge.
EdgeBets Sports Simulation Setup
To integrate this skill, install the SDK and configure your environment variables with a Solana private key.
npm install edgebets-sdk
export SOLANA_PRIVATE_KEY='[your_private_key_array]'
Ensure your wallet contains at least 0.50 USDC for simulations and a small amount of SOL for network gas fees.
EdgeBets Sports Simulation Data Schema & Taxonomy
EdgeBets provides structured data for both free and paid requests. The simulation output is organized as follows:
| Data Point | Description |
|---|---|
| Win Probabilities | Percentage chance of victory for home/away teams |
| Projected Score | Exact predicted final score and total points |
| Predicted Spread | The calculated fair market spread |
| Edge Analysis | Percentage difference between simulation and market odds |
| Track Record | Historical win/loss/push data for transparency |
EdgeBets Sports Simulation Advanced Features
- Multi-sport support covering NBA, NFL, MLB, and MLS through a unified interface.
- Real-time status hooks (
paying,processing,complete) for simulation monitoring. - Automated Pick of the Day grading with historical streak and win-rate tracking.
- Solana mainnet integration for secure, transparent micro-payments using Openclaw Skills.
SKILL.md
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