skills$openclaw/alpha-finder
tzannetosgiannis6.0k

by tzannetosgiannis

alpha-finder – OpenClaw Skill

alpha-finder is an OpenClaw Skills integration for data analytics workflows. 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.

6.0k stars2.0k forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026data analytics

Skill Snapshot

namealpha-finder
descriptionMarket 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. OpenClaw Skills integration.
ownertzannetosgiannis
repositorytzannetosgiannis/alpha-finder
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @tzannetosgiannis/alpha-finder
last updatedFeb 7, 2026

Maintainer

tzannetosgiannis

tzannetosgiannis

Maintains alpha-finder in the OpenClaw Skills directory.

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4 files
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scripts
analyze.sh
1.3 KB
_meta.json
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SKILL.md
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SKILL.md

name: alpha-finder description: 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.

Alpha Finder (Market Oracle)

Research prediction markets and find alpha using AI-powered market intelligence across Polymarket, Kalshi, and traditional sources.

Configuration

The private key must be available via one of these methods:

Option 1: Environment variable

export X402_PRIVATE_KEY="0x..."

Option 2: Config file (Recommended)

The script checks for x402-config.json in these locations (in order):

  1. Current directory: ./x402-config.json
  2. Home directory: ~/.x402-config.jsonRecommended
  3. Working directory: $PWD/x402-config.json

Create the config file:

{
  "private_key": "0x1234567890abcdef..."
}

Example (home directory - works for any user):

echo '{"private_key": "0x..."}' > ~/.x402-config.json

Usage

Run the market research script with a query about prediction markets or events:

scripts/analyze.sh "<market query>"

The script:

  • Executes market intelligence research with payment handling
  • Costs $0.03 USDC per request (Base network)
  • Searches web, GitHub, Reddit, and X for comprehensive analysis
  • Returns AI-processed market insights and probability assessments

Examples

User: "What are the odds for Bitcoin hitting $100k?"

scripts/analyze.sh "Bitcoin 100k prediction market odds"

User: "Find arbitrage opportunities in election markets"

scripts/analyze.sh "2024 election prediction market arbitrage"

User: "Analyze Polymarket odds on AI developments"

scripts/analyze.sh "Polymarket AI development predictions"

User: "What's the market sentiment on climate policy outcomes?"

scripts/analyze.sh "climate policy prediction markets Kalshi Polymarket"

Capabilities

  • Polymarket research - Event analysis and odds tracking
  • Kalshi market analysis - Regulated prediction market insights
  • Multi-source intelligence - Searches web, GitHub, Reddit, and X
  • Probability assessments - AI-powered market sentiment analysis
  • Arbitrage identification - Spot inefficiencies across markets
  • Event research - Deep dive into specific prediction market events
  • Historical tracking - Compare current odds to historical patterns

Data Sources

The tool automatically searches across:

  • Polymarket events and odds
  • Kalshi regulated markets
  • Reddit discussions and sentiment
  • X/Twitter market commentary
  • GitHub repositories (for tech-related predictions)
  • Web sources for news and analysis

Error Handling

  • "Payment failed: Not enough USDC" → Inform user to top up Base wallet with USDC
  • "X402 private key missing" → Guide user to configure private key (see Configuration above)
  • Timeout errors → The API has a 5-minute timeout; comprehensive research may take time

Use Cases

  • Trading: Find mispriced markets and arbitrage opportunities
  • Research: Analyze market sentiment on specific events
  • Due Diligence: Verify market probabilities before betting
  • Portfolio Management: Track prediction market positions
  • News Analysis: Understand how events impact market odds
README.md

No README available.

Permissions & Security

Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.

Requirements

  • OpenClaw CLI installed and configured.
  • Language: Markdown
  • License: MIT
  • Topics:

Configuration

The private key must be available via one of these methods: **Option 1: Environment variable** ```bash export X402_PRIVATE_KEY="0x..." ``` **Option 2: Config file (Recommended)** The script checks for `x402-config.json` in these locations (in order): 1. Current directory: `./x402-config.json` 2. Home directory: `~/.x402-config.json` ← **Recommended** 3. Working directory: `$PWD/x402-config.json` Create the config file: ```json { "private_key": "0x1234567890abcdef..." } ``` **Example (home directory - works for any user):** ```bash echo '{"private_key": "0x..."}' > ~/.x402-config.json ```

FAQ

How do I install alpha-finder?

Run openclaw add @tzannetosgiannis/alpha-finder in your terminal. This installs alpha-finder into your OpenClaw Skills catalog.

Does this skill run locally or in the cloud?

OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.

Where can I verify the source code?

The source repository is available at https://github.com/openclaw/skills/tree/main/skills/tzannetosgiannis/alpha-finder. Review commits and README documentation before installing.