Alpha Finder (Market Oracle) for Openclaw

An AI-powered market intelligence tool for researching prediction markets, analyzing betting odds, and identifying arbitrage opportunities.

tzannetosgiannis
v1.0.0
Jan 29, 2026
0
3.6k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install alpha-finder

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install alpha-finder 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 Alpha Finder (Market Oracle)?

Alpha Finder is a professional-grade market oracle designed to provide deep intelligence for prediction market enthusiasts and traders. By utilizing this capability within the Openclaw Skills ecosystem, users can access real-time probability assessments across major platforms like Polymarket and Kalshi. It bridges the gap between raw market data and actionable insights by aggregating information from social sentiment, technical repositories, and traditional news sources.

This skill is particularly valuable for users who need to identify market inefficiencies or conduct thorough due diligence before placing high-stakes bets. Operating on the Base network, it uses the x402 protocol to facilitate cost-effective research requests, ensuring that every analysis is backed by comprehensive data from the web, GitHub, Reddit, and X. Integrating Alpha Finder into your Openclaw Skills workflow allows for a more data-driven approach to prediction market participation.

Alpha Finder (Market Oracle) Use Cases

  • Identifying mispriced odds and arbitrage opportunities between Polymarket and Kalshi.
  • Analyzing market sentiment for political events, climate policy, and AI developments.
  • Conducting deep-dive research into specific event probabilities for portfolio management.
  • Tracking historical odds patterns to predict future market movements.
  • Verifying market signals using a combination of social media commentary and GitHub activity.

How Alpha Finder (Market Oracle) Works

  1. The user initiates a research query through the analysis script.
  2. The system verifies the configuration of a private key and sufficient USDC balance on the Base network.
  3. A micro-payment of $0.03 USDC is processed via the x402 protocol to authorize the research.
  4. The agent crawls multiple sources including prediction market APIs, social platforms, and technical web data.
  5. AI models process the gathered data to synthesize probability assessments and sentiment scores.
  6. A detailed intelligence report is generated, highlighting potential alpha and market inefficiencies.

Alpha Finder (Market Oracle) Setup

To use this tool effectively within your Openclaw Skills setup, follow these configuration steps:

# Option 1: Set the private key as an environment variable
export X402_PRIVATE_KEY="0x..."

# Option 2: Create a configuration file in your home directory (Recommended)
echo '{"private_key": "0x..."}' > ~/.x402-config.json

# Run a research query
scripts/analyze.sh "Analyze Polymarket odds on AI developments"

Alpha Finder (Market Oracle) Data Schema & Taxonomy

The Alpha Finder skill organizes intelligence data into a structured format for easy interpretation:

Attribute Description
Source Platform Origin of the data (e.g., Kalshi, Polymarket, Reddit)
Probability AI-calculated percentage likelihood of an event outcome
Sentiment Score Quantitative assessment of market discussion tone
Arbitrage Alert Flags indicating price discrepancies between markets
Metadata Includes links to GitHub repos or X threads for further verification

Alpha Finder (Market Oracle) Advanced Features

  • Cross-platform arbitrage identification between regulated and decentralized markets.
  • Multi-channel intelligence gathering including technical GitHub analysis and social sentiment.
  • Secure micro-payment integration on the Base network for on-demand research.
  • Deep-dive event analysis capable of handling complex, multi-variable queries.
  • Robust error handling for payment verification and API connectivity issues.

SKILL.md


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