The user receives a comprehensive analysis of specific sports or esports markets on Polymarket, including live board data, wallet grades, large trade signals, and daily picks, enabling informed betting or research decisions based on aggregated market flow and significance scores.

The agent identifies the relevant sports or esports markets (e.g., soccer 1X2, EuroLeague) using the list_games or get_game tools. It then retrieves market context via the context.md endpoint and analyzes market flow using the edge_hunter tool to identify significant trades and wallet activity. The agent checks for wallet grades and suspicious trade flags to assess risk and attention. Finally, it synthesizes this data into a report highlighting key insights, such as large positions, daily picks, and market sentiment, ensuring the user understands that the data reflects attention and flow, not guaranteed outcomes.

• Category: Data and analysis
• Effect: Read-only
• MCP servers: 0xinsider MCP (https://koskamo.com/explore/0xinsider-mcp)
• Source: 0xinsider MCP documentation (https://0xinsider.com/llms.txt)
• Source quote: "0xinsider builds Polymarket analytics & infrastructure for sports and esports markets. The tools read public Polymarket activity on sports and esports markets: live boards with both sides of every game, wallet grades on settled P&L, large trades, positions, daily picks on a public record, market…"
• Playbook page: https://koskamo.com/explore/use-cases/analyze-polymarket-sports-market-edge-and-context

Prompt: Analyze the current state of the EuroLeague basketball markets on Polymarket. Retrieve the market context and use the edge_hunter tool to identify any significant large trades or wallet activity. Check the wallet grades for the top traders involved and look for any suspicious trade flags. Summarize the market flow, highlighting any notable positions or daily picks, and explain the significance scores associated with the observed activity.