Polymarket Data for Academic Research
Power your academic research with high-fidelity historical Polymarket data. Perfect for event studies, predictive market efficiency, and behavioral economics.
Live Dataset Surface
polymarket academic research data
Rows
10B+
Historical archive
Markets
450K+
Open + resolved
Resolution
1m
Minute snapshots
Endpoint stream
/markets/{slug}/prices
42 ms
/markets/{slug}/metrics
50 ms
/markets/{slug}/books
61 ms
Trusted by researchers at leading institutions
Dataset
What Is Included
- Historical prices and market metrics for predictive probability modeling.
- Deep L2 order book snapshots to study market microstructure and liquidity.
- Comprehensive market discovery tools to isolate specific topics and events.
- Consistent endpoints suitable for large-scale academic studies.
Code
API Example
import requestsr = requests.get( "https://api.polymarketdata.co/v1/markets", headers={"X-API-Key": "YOUR_API_KEY"}, params={"limit": 100}, timeout=30,)r.raise_for_status()markets = r.json().get("data", [])pythonApplications
Use Cases
- Analyze the efficiency of prediction markets against real-world outcomes.
- Study trading behavior and liquidity dynamics around major events.
- Build empirical models for probability aggregation and consensus building.
Questions
FAQ
Is there an academic discount available for researchers?+
Yes, we provide specialized access for researchers affiliated with academic institutions.
What format does the data come in for academic studies?+
The data is accessible via our REST API in JSON format, which can easily be converted to CSV or Parquet files using Python or R for your statistical analysis pipelines.
How far back does the historical data go?+
Our archive includes market data since August 2025, capturing events across politics, economics, and pop culture with high-resolution historical depth.
Can I publish my findings using your dataset?+
Absolutely. You can use the data to validate your theories and publish academic papers.
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Use a production-grade dataset for research, strategy validation, and analytics without rebuilding the ingestion layer from scratch.