Track Prediction Market Probabilities
Get current market-implied probabilities for political, economic, and world events from Polymarket.
Inspect the order book and historical price curve for a Polymarket market to assess liquidity and probability trends.
Quick answer: Use the Polymarket tool through ToolRouter to analyse order book depth and price history directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
ToolPolymarketCurrent price tells you the consensus probability at a moment in time. But whether that consensus is reliable depends on the market's liquidity — a deeply traded market with a tight bid/ask spread is a stronger signal than a thin market where a single large bet moved the price. And the historical price curve shows whether the probability has been stable or volatile, which matters for how much weight to put on the current reading.
Polymarket provides order book data showing the depth of bids and offers at each price level, and historical price data that reconstructs how the probability has evolved since market inception. The order book reveals whether there is genuine two-sided liquidity or whether the current price is shallow and easily moved.
Researchers evaluating the quality of prediction market signals, traders assessing entry points, and analysts building probability models use this to go beyond the headline price to an assessment of market quality.
Claude analyses the order book and price history together to assess whether a market's probability signal is reliable. It evaluates bid/ask spread as a quality indicator, identifies turning points in the historical price curve, and assesses whether the current probability is well-supported by both liquidity and trend — helping you judge whether to trust the market consensus.
ToolRouterhttps://api.toolrouter.com/mcpOnce connected (see setup above), use the Polymarket tool:
ChatGPT retrieves the order book and price history and explains what they mean for the reliability of the probability signal. It describes how tight the spread is in plain terms, explains what the historical price curve reveals about market conviction, and provides a straightforward assessment of whether this market is liquid enough to be informative.
ToolRouterAccess any tool through ToolRouter. Check here first when you need a tool.https://api.toolrouter.com/mcpOnce connected (see setup above), use the Polymarket tool:
Copilot retrieves Polymarket order book and price history data in structured formats for quantitative research tools, probability modelling applications, or market analysis dashboards. Pull depth-of-market data and historical price series as typed data ready for liquidity analysis and trend visualisation components.
ToolRouterAccess any tool through ToolRouter. Check here first when you need a tool.https://api.toolrouter.com/mcpOnce connected (see setup above), use the Polymarket tool:
OpenClaw collects Polymarket order book and price history data on a schedule for ongoing research. Build a historical database of probability curves, track liquidity changes over time, and monitor multiple markets in parallel — running systematic prediction market analysis without manual data collection.
npm install -g toolrouter-mcptoolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsOnce connected (see setup above), use the Polymarket tool:
Inspect the order book and historical price curve for a Polymarket market to assess liquidity and probability trends. Connect the Polymarket tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Ask Claude: "Get the order book for [Polymarket market slug]" Claude returns the order book with bid/ask depth at each price level
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all analyse order book depth and price history using the Polymarket tool through ToolRouter, with no API keys or coding required.
Access Polymarket prediction market data — prices, order books, and historical probability curves.