Overview / Description
EventGraph is the unified intelligence layer for prediction markets, built for traders, developers, and AI agents who need aggregated data across fragmented venues. It consolidates real-time data from Polymarket, Kalshi, Limitless, OpinionTrade, and other on-chain markets into a single platform, normalizing probabilities, liquidity metrics, and price disparities across elections, economics, technology, and global events. By eliminating the need to monitor multiple platforms independently, EventGraph enables traders to spot cross-venue arbitrage opportunities, compare odds, and act on actionable insights from one dashboard. Developers and AI agents can access the unified dataset via a dedicated API and MCP server integration, making it suitable for building automated trading tools or research pipelines. EventGraph offers a free starting tier, positioning itself as an accessible entry point for both retail traders exploring prediction markets and professional quants building systematic strategies.
Used For
AI tool for search engines workflows
Pricing
Free
Free tier available to get started. Visit the website for details on paid plans and API access limits.
Paid (details on site)
Additional paid tiers may be available for higher API usage, advanced arbitrage features, or commercial use. Check the website for current pricing.
Pros & Cons
Pros
• Aggregates data from Polymarket, Kalshi, Limitless, OpinionTrade, and on-chain markets in one place • Cross-venue arbitrage detection highlights price disparities automatically • Provides a developer API and MCP server for AI agent integrations • Covers diverse market categories: elections, economics, technology, and global events • Free tier available to get started without upfront commitment
Cons
• Coverage limited to supported platforms — niche or newer prediction markets may not be included • Arbitrage opportunities in prediction markets can be short-lived and difficult to execute at scale • API depth and rate limits on the free tier may constrain high-frequency use cases • Prediction market data inherently carries uncertainty and should not be treated as financial advice
Questions & Answers
Alternatives
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