prediction-market-arbiterCross-platform divergence scanner comparing Kalshi and Polymarket prices on identical events. Fuzzy title matching across 1000+ markets per run, configurable...
Install via ClawdBot CLI:
clawdbot install kingmadellc/prediction-market-arbiterGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://kalshi.comAudited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Traders use the skill to identify price divergences between Kalshi and Polymarket for identical events, executing trades to profit from the spread. It automates scanning across thousands of markets, filtering by volume and match confidence to highlight actionable opportunities with minimal manual effort.
Researchers or analysts employ the skill to study prediction market microstructure, assessing which platform leads in pricing accuracy for specific event types. By tracking divergences over time, they can evaluate market efficiency and identify systemic biases or delays in information incorporation.
Firms integrate the skill into scheduled workflows (e.g., every 4 hours) to receive real-time alerts on significant price divergences. This enables proactive monitoring without constant manual checks, supporting decision-making for trading desks or risk management teams in fast-moving markets.
Investors use the skill to spot mispricings as signals for hedging or diversifying prediction market positions across platforms. By comparing implied probabilities, they can adjust portfolios to capitalize on perceived inefficiencies while managing exposure to event outcomes.
Novice traders leverage the skill to learn about arbitrage and market dynamics by observing real-world divergences. It provides hands-on experience with configurable thresholds, helping users understand how volume, similarity, and spread impact trading strategies in prediction markets.
Offer a premium service where users pay a monthly fee to access enhanced divergence alerts, advanced filtering, or real-time notifications via API. Revenue is generated through tiered subscriptions, with higher tiers providing more frequent scans or exclusive market insights.
License the divergence data and analysis outputs to financial institutions, hedge funds, or research firms. This model monetizes the skill's ability to generate structured JSON data on market inefficiencies, which clients can integrate into their own trading algorithms or reports.
Provide consulting services to help businesses integrate the skill into their existing trading stacks, with custom configurations for specific thresholds or additional platforms. Revenue comes from project-based fees for setup, training, and ongoing support tailored to client needs.
💬 Integration Tip
Ensure Kalshi API credentials are properly set up in config.yaml and test the fuzzy matching thresholds with sample data to balance alert accuracy and false positives.
Scored Jun 19, 2026
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