prediction-bridge

What This Skill Does

The prediction-bridge skill enables OpenClaw AI to interface directly with the Prediction Bridge API, providing a comprehensive data gateway for 9+ leading prediction market platforms including Polymarket, Kalshi, and Limitless. By executing bundled Python scripts, the agent can perform complex semantic searches, fetch granular market history, analyze on-chain whale activity, and calculate Smart PnL metrics. This skill bridges the gap between raw on-chain data and actionable intelligence, allowing for advanced research into event outcomes, trader behavior, and liquidity trends.

Installation

To integrate this skill into your environment, run the following command in your terminal:

clawhub install openclaw/skills/skills/kimcheese888/prediction-bridge

Ensure your system has a standard Python 3 installation, as the bundled scripts utilize the Python standard library exclusively to maintain portability and security without requiring external dependencies.

Use Cases

• Market Sentiment Analysis: Research how markets are pricing specific geopolitical or technological events using semantic search.
• Whale Monitoring: Track significant on-chain capital movements to identify "smart money" trends.
• Trader Performance Evaluation: Utilize leaderboard and PnL analytics to evaluate the track records of specific market participants.
• Risk Management: Retrieve market history and candlestick data to assess volatility and liquidity before placing or analyzing positions.
• Event Discovery: Browse active markets across various categories like Crypto, Politics, or Economics.

Example Prompts

1. "What is the current market sentiment and odds for the 2028 presidential election?"
2. "Can you look for any significant whale trades on Polymarket related to the latest interest rate news?"
3. "Show me the top traders on prediction platforms and summarize the portfolio of this address: 0x1234..."

Tips & Limitations

• Limit Usage: Always use the --limit flag in commands to manage output verbosity, especially when polling whale trades or large market lists.
• Latency: As this skill interacts with live prediction market APIs, results are subject to network latency and platform-specific API rate limits.
• Scope: While the skill provides data across 9+ platforms, ensure that you specify the platform explicitly if you are looking for data from a specific provider to ensure accuracy.
• Accuracy: Always verify critical financial data points across multiple sources or via the official platform interface, as market conditions in prediction platforms can change rapidly.