polymarket-predictradar-data-layer-skillsShared Polymarket and prediction-market data access layer. Use this skill whenever another skill or task needs trader positions, trade history, market metada...
Install via ClawdBot CLI:
clawdbot install cnica/polymarket-predictradar-data-layer-skillsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.predictradar.ai/api/mcp/v2Audited Apr 16, 2026 · audit v1.0
Generated May 7, 2026
Use the data layer to fetch trader positions, trade history, and leaderboard data to identify top-performing traders and their strategies. Analyze win rates and PnL statistics to generate actionable trading signals for prediction markets.
Leverage market metadata and aggregate statistics from the data layer to monitor overall prediction market health. Track volume, active traders, and hot markets to detect trends or anomalies.
Build a dashboard that queries trader details and positions via the data layer, providing users with real-time PnL, unrealized gains, and position summaries across multiple markets.
Export large trade datasets using the streamed SQL export tool (open_query_stream) for historical analysis. Use the data to backtest trading strategies and research market efficiency.
Query trade history and positions for specific wallets to generate audit trails or compliance reports. The data layer's comprehensive schema supports tracking trade types including mint, burn, and redeem.
Provide a subscription-based analytics dashboard for prediction market participants. Revenue comes from monthly or annual subscriptions for access to aggregated trader data, leaderboards, and custom alerts.
Offer tiered API access to the data layer for developers and enterprises. Basic tier provides limited daily queries, while premium tiers include higher rate limits, streaming exports, and priority support.
License historical and real-time market data to hedge funds, research firms, and trading bots. Revenue is generated through one-time data dumps or recurring data feeds.
💬 Integration Tip
Use the provided mcp-client.js wrapper to handle MCP session handshake automatically, reducing integration overhead. For large data exports, prefer open_query_stream over run_query_preview to avoid timeout or row limits.
Scored May 7, 2026
Query and trade on Polymarket prediction markets — check odds, trending markets, search events, view order books, place trades, and manage positions. Now ava...
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