A powerful tool for identifying price discrepancies and risk-free profit opportunities between major prediction markets like Polymarket and Kalshi.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install prediction-market-arbitrage-api
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 prediction-market-arbitrage-api 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 Prediction Market Arbitrage API?
The Prediction Market Arbitrage API is a specialized technical tool designed for the Openclaw Skills ecosystem to identify market inefficiencies across leading prediction platforms. By leveraging the AIsa API, this skill programmatically scans markets for various sports—including NBA, NFL, and soccer—to find spreads where the combined cost of mutually exclusive outcomes is less than one.
This tool is essential for traders and developers looking to exploit cross-platform price differences without the need for manual monitoring. It focuses on high-precision data retrieval and local spread calculation to ensure analysts can identify actionable opportunities in real-time. By integrating this into your Openclaw Skills workflow, you gain a data-driven edge in the rapidly evolving prediction market landscape.
Prediction Market Arbitrage API Use Cases
- Identifying risk-free profit scenarios by comparing Yes and No prices across different platforms.
- Bulk scanning sports markets for specific dates to find the highest spread percentages.
- Verifying orderbook depth and liquidity before executing trades to ensure slippage does not negate potential profits.
- Cross-referencing specific market events using Polymarket slugs or Kalshi tickers for direct comparative analysis.
How Prediction Market Arbitrage API Works
- The skill utilizes the AISA_API_KEY to fetch real-time market data from the AIsa API endpoint.
- The user initiates a scan of specific sports categories or individual markets across Polymarket and Kalshi.
- The system automatically matches corresponding outcomes and calculates the arbitrage spread locally using price data.
- Detailed orderbook depth is retrieved for both platforms to verify that the identified spread is executable.
- The tool outputs a comprehensive analysis, including potential profit percentages and liquidity metrics in USD.
Prediction Market Arbitrage API Setup
To get started with this skill within your Openclaw Skills environment, ensure you have python3 installed and obtain an API key from aisa.one. Configure your environment variable as follows:
export AISA_API_KEY="your-key"
You can then run the arbitrage finder script to begin scanning markets:
python3 scripts/arbitrage_finder.py scan nba --date 2025-04-01
Prediction Market Arbitrage API Data Schema & Taxonomy
The skill organizes market data into structured formats for clear analysis and automation. It utilizes the following taxonomy:
| Field | Description | Source |
|---|---|---|
| spread | Calculated percentage difference indicating profit potential | Local Logic |
| liquidity | The available volume in USD for a specific price point | API Orderbook |
| token_id | Unique identifier for Polymarket assets | Polymarket |
| market_ticker | Unique identifier for Kalshi contracts | Kalshi |
| usage | Metadata including API cost and remaining credits | AIsa Response |
Prediction Market Arbitrage API Advanced Features
- Automated bulk scanning across multiple major sports leagues including NBA, NFL, MLB, NHL, Soccer, and Tennis.
- Native JSON output support for seamless integration into custom automated trading bots or external data pipelines.
- Customizable filters for minimum spread percentage and minimum liquidity thresholds to isolate high-quality signals.
- Advanced cross-platform sports matching logic that resolves event naming discrepancies between different providers.
SKILL.md
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