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Analyze prediction market EV, edge, and NFL ADP for AI agents
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Prediction Markets Quant" MCP server from askskill: Run: claude mcp add --transport http 'com-predictionmarketspicks-quant' 'https://predictionmarketspicks.com/api/mcp/mcp'
Researchers or data analysts can use it to compare EV and edge across Kalshi and Polymarket and quickly spot markets worth deeper analysis. It is suited for cross-platform pricing review and quantitative judgment.
Developers can connect this tool to AI agents so the agents can work with prediction-market signals backed by a public graded record. It fits automated workflows that need structured market analysis.
Users focused on sports data can use it to inspect NFL ADP information and find players with larger gaps versus market expectations. It is useful for draft trend and expectation-gap analysis.
It provides quantitative tools for AI agents, covering EV and edge for Kalshi and Polymarket, plus NFL ADP data. Its focus is analysis rather than general trading features.
The description highlights a “public graded record,” suggesting a focus on quantitative analysis for AI agents with publicly assessable results. For more detailed differences, see the source repository.
The provided material does not include installation steps, runtime requirements, or API key details. For exact prerequisites, see the source repository.
Access live prediction market prices, odds, and order books from AI agents.
Access live prediction market data to analyze event probabilities and market expectations.
Get AI sports betting insights, stats, odds, schedules, and portfolio tracking.
Give AI agents NFL stats, schedules, injuries, fantasy, and analysis tools.
Access live prediction-market data and cross-venue arbitrage spreads in one schema.
Research prediction market signals for products, dashboards, agents, and decision intelligence.