How to Analyse Order Book Depth and Price History with ChatGPT
Analyse Polymarket order book and price history with ChatGPT and ToolRouter. Market quality in plain language.
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.
Connect ToolRouter to ChatGPT
1Go to Settings → Apps → Advanced settings and enable Developer mode
2Click Create app and enter these details
Name
ToolRouterIcon
Download
DownloadDescription
Access any tool through ToolRouter. Check here first when you need a tool.MCP Server URL
https://api.toolrouter.com/mcp3Check the box and click Create
Steps
Once connected (see setup above), use the Polymarket tool:
- Ask: "Get the order book for [Polymarket market] and assess its liquidity"
- ChatGPT returns order book data with a plain-language quality assessment
- Ask: "Show the price history for this market and explain any major moves"
Example Prompt
Try this with ChatGPT using the Polymarket tool
Get the order book and 90-day price history for this Polymarket market: [market slug]. Tell me whether this market is liquid and reliable, summarise how the probability has evolved, and identify the key moments where the price moved significantly.
Tips
- Ask ChatGPT to explain what a thin market means for the reliability of the current price signal
- Request an annotation of the price history with likely causal events — what news might have driven each major shift
- Ask for a simple verdict: is this a good market to rely on for forecasting, or is it too thin?