alpha-finder
Market Oracle for prediction market intelligence - Polymarket and Kalshi research, probability assessments, market sentiment analysis, and arbitrage opportunity identification. Use when users want to research prediction markets, analyze betting odds, or find market inefficiencies. Costs $0.03 USDC per request via x402 protocol on Base network.
Why use this skill?
Master prediction markets with Alpha Finder. Access real-time Polymarket and Kalshi analysis, identify arbitrage, and get AI-powered insights for smarter betting.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/tzannetosgiannis/alpha-finderWhat This Skill Does
Alpha Finder (Market Oracle) is a specialized AI agent skill designed to provide high-fidelity intelligence for prediction markets. It bridges the gap between raw market data and actionable insights by aggregating information from major platforms like Polymarket and Kalshi, alongside sentiment analysis from social channels like Reddit and X. Whether you are a professional trader or a researcher, Alpha Finder helps you navigate the complexities of decentralized and regulated prediction markets by evaluating probabilities, identifying market inefficiencies, and spotting potential arbitrage opportunities. The skill integrates seamlessly with the OpenClaw ecosystem, ensuring that every research request is authenticated and processed with precision.
Installation
To integrate Alpha Finder into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/tzannetosgiannis/alpha-finder. After installation, ensure you have configured your credentials. We recommend creating a configuration file at ~/.x402-config.json containing your private key: {"private_key": "0x..."}. The skill requires this key to handle the $0.03 USDC per request fee on the Base network via the x402 protocol. If preferred, you can also set the X402_PRIVATE_KEY environment variable in your bash profile.
Use Cases
Alpha Finder is designed for users needing to make data-driven decisions based on speculative events. Common use cases include: 1) Arbitrage hunting across disjointed prediction markets where odds for the same event differ significantly; 2) Event-based research for political or economic elections, where mainstream media may lag behind market sentiment; 3) Sentiment aggregation to understand how communities on social media are perceiving news updates that affect market outcomes; 4) Technical forecasting, using GitHub repository activity to gauge the success probability of upcoming tech-related prediction contracts.
Example Prompts
- "Analyze the current discrepancy between Polymarket and Kalshi for the 2024 Presidential election odds and identify potential arbitrage."
- "What is the current market sentiment regarding the probability of the Fed cutting rates this quarter? Summarize key arguments from Reddit and X."
- "Evaluate the probability of Bitcoin reaching $150k by year-end based on recent market trends and historical volatility data."
Tips & Limitations
The Alpha Finder API is optimized for complex queries, but users should note the 5-minute timeout window. If your search request is too broad, consider breaking it into smaller, more specific event-based queries to ensure the AI can perform a deep dive without timing out. Always ensure your Base wallet is adequately funded with USDC to avoid "Payment failed" errors. Finally, treat the AI-generated probabilities as analytical insights rather than financial advice, and always cross-reference critical data points directly on the prediction platform websites.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-tzannetosgiannis-alpha-finder": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, file-read, external-api
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