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Tools / Polymarket / Use Cases / Analyse Order Book Depth and Price History

Analyse Order Book Depth and Price History

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.

Tool
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Polymarket

Current 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.

How to analyse order book depth and price history with Claude, ChatGPT, Microsoft Copilot, and OpenClaw

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.

Connect ToolRouter to Claude

1Open connector settings Open Settings
2Add a custom connector with these details
Name
ToolRouter
URL
https://api.toolrouter.com/mcp
3Let Claude set you up Open Claude

How to analyse order book depth and price history with Claude

Once connected (see setup above), use the Polymarket tool:

  1. Ask Claude: "Get the order book for [Polymarket market slug]"
  2. Claude returns the order book with bid/ask depth at each price level
  3. Ask: "How tight is the spread and does this market have good liquidity?"
  4. Ask: "Get the price history for this market and identify when major probability shifts occurred"

Example prompt for Claude

Try this with Claude using the Polymarket tool
Get the order book and price history for this Polymarket market: [slug]. Assess the market quality — how tight is the spread, how deep is the liquidity, and has the probability been stable or volatile? What does the historical curve suggest about how conviction has evolved?

Tips for Claude

  • A bid/ask spread of less than 2 percentage points indicates a liquid, high-quality market
  • Ask Claude to identify the dates of major probability jumps and what news events likely caused them
  • Compare order book depth on both sides — if bids significantly outnumber offers, the market may be biased

Frequently Asked Questions

How do I analyse order book depth and price history with an AI assistant?

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

Which AI assistants can analyse order book depth and price history?

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.

What does the Polymarket tool do?

Access Polymarket prediction market data — prices, order books, and historical probability curves.

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