Polymarket Node

The Polymarket node fetches live prediction market data — event titles, outcome probabilities, volume, and liquidity — from Polymarket ↗. Use it to build workflows that monitor market sentiment, alert on probability shifts, or feed prediction data into an LLM for analysis.

What Is Polymarket?

Polymarket is a prediction market platform where people trade on the outcomes of real-world events. Each market has outcomes (typically Yes/No) with prices between 0 and 1 that represent the crowd's estimated probability. A "Yes" price of 0.72 means the market thinks there's a 72% chance the event happens.

This data is valuable for trading workflows because prediction markets aggregate information from thousands of participants — giving you a real-time sentiment signal that goes beyond price charts and technical indicators.

Configuration

How It Works

The node fetches active, non-closed markets from Polymarket's public API. If you provide a query, it filters results by matching against the market title, description, and slug. Results are sorted by relevance and limited to your specified count.

Each market can have multiple sub-markets (outcomes). For example, a "2026 US Presidential Election" event might have sub-markets for each candidate, each with their own probability and volume.

Understanding Outcome Prices

Outcome prices are the core data point. They represent probabilities as decimals between 0 and 1:

For binary markets (Yes/No), the two outcome prices always sum to approximately 1.0.

Using Polymarket in a Workflow

Sentiment-Driven Analysis

Feed prediction market data into an LLM to assess whether current probabilities represent good value.

Example LLM prompt:

System: You are a prediction market analyst. Given the market title,
current probability, and description, assess whether the current
probability represents good value.

Respond in this format:
POSITION: [BUY_YES / BUY_NO / SKIP]
EDGE: [your estimated probability minus market probability]%
REASONING: [1-2 sentences]

User: Evaluate this Polymarket market:
Title: {{polymarket.markets[0].title}}
Probability: {{polymarket.markets[0].markets[0].outcomePrices[0]}}
Description: {{polymarket.markets[0].description}}
Volume: ${{polymarket.markets[0].volume}}

Probability Alert Monitor

Set up a scheduled workflow that checks if a market's probability crosses a threshold.

Multi-Signal Trading

Combine prediction market sentiment with price data for a more informed trading decision.

By combining prediction market probabilities (crowd sentiment) with actual price data (technical analysis), the LLM has a richer picture for making trading recommendations.

Output

Example Output

{
  "markets": [
    {
      "id": "0x1234...",
      "slug": "will-btc-reach-100k-2026",
      "title": "Will BTC reach $100k in 2026?",
      "description": "This market resolves YES if Bitcoin reaches $100,000 USD...",
      "active": true,
      "closed": false,
      "volume": 1250000,
      "liquidity": 450000,
      "markets": [
        {
          "question": "Will BTC reach $100k in 2026?",
          "outcomes": ["Yes", "No"],
          "outcomePrices": ["0.72", "0.28"],
          "volume": 1250000,
          "active": true
        }
      ]
    }
  ],
  "count": 1,
  "query": "BTC 100k"
}

Next Steps

• LLM Node — Feed prediction market data into an AI model for probability analysis.
• Function Node — Extract and transform market probabilities for downstream use.
• Conditional Node — Route your workflow based on probability thresholds.
• Price Data Node — Combine prediction data with live crypto prices for multi-signal analysis.
• Storage Node — Track probability changes over time between workflow runs.