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Guide

Using the Polymarket Data API: Real-Time Prediction Market Data for Developers

Access Polymarket and PolyGram prediction market data via API. Real-time prices, historical resolution data, order book streaming, and Python/JS code examples.

Sarah Whitfield
Markets Editor — Political Forecasting · · 2 min read
✓ Fact-checked · 📅 Updated 2 May 2026 · 2 min read
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Developers seeking to leverage prediction market intelligence for compliance research, regulatory analysis, and quantitative modelling can access comprehensive datasets through the Polymarket infrastructure (via PolyGram). The platform's APIs unlock detailed market signals across the world's most liquid prediction market venue, supporting use cases from legal due diligence to algorithmic trading oversight.

Available Data Endpoints

Gamma API (Market Data)

GET https://gamma-api.polymarket.com/events
  ?limit=100&active=true&order=volume24hr
  Returns: event metadata, current prices, volume, tags

GET https://gamma-api.polymarket.com/events/{slug}
  Returns: full event with all markets, prices, descriptions

GET https://gamma-api.polymarket.com/markets/{conditionId}
  Returns: single market details, current order book price

CLOB API (Order Book)

GET https://clob.polymarket.com/book
  ?token_id={tokenId}
  Returns: full order book depth (bids/asks)

GET https://clob.polymarket.com/prices/history
  ?market={conditionId}&resolution=1h&startTs=1700000000
  Returns: hourly price history

WebSocket: wss://ws-subscriptions-clob.polymarket.com
  Subscribe to real-time price updates

Python Quickstart

import requests

# Get top prediction markets by volume
r = requests.get(
    "https://gamma-api.polymarket.com/events",
    params={"limit": 10, "active": "true", "order": "volume24hr"}
)
for event in r.json():
    market = event["markets"][0] if event.get("markets") else {}
    prices = market.get("outcomePrices", "[0.5,0.5]")
    import json; p = json.loads(prices)
    print(f"{event['title'][:50]}: YES={float(p[0]):.2%}")

Use Cases

  • Research dashboards: Monitor probability trajectories across prediction markets for regulatory event tracking and outcome forecasting
  • News tools: Identify markets exhibiting rapid movement in response to material information disclosures
  • Aggregators: Benchmark pricing signals across Polymarket, Kalshi, and Metaculus for consistency and arbitrage detection
  • Alert systems: Trigger notifications when market movements exceed specified volatility or directional parameters
  • Academic research: Analyse historical settlement records to evaluate forecast accuracy and market efficiency under various regulatory regimes

FAQ

Is the Polymarket API free to use?
Yes — market data endpoints (Gamma API) are available at no cost subject to standard rate limits (approximately 100 requests per minute for unauthenticated access). CLOB order submission functionality requires account funding; however, data retrieval operations remain complimentary.
Is there a Python library for Polymarket?
Multiple community-developed Python packages are available via GitHub repositories. Searching for "polymarket-py" will surface actively maintained implementations.
Sarah Whitfield
Markets Editor — Political Forecasting

Sarah has tracked political prediction markets and election forecasting since the 2020 US cycle. Focus: US presidential, congressional, and UK parliamentary contracts.