Historical data
Trade history
Full trade-level data across Polymarket and Kalshi — timestamps, prices, volumes, wallet addresses, and direction.
Orderbook snapshots
Depth-of-book captures at configurable intervals for liquidity analysis and market microstructure research.
Market lifecycle
Complete market metadata from creation through resolution — outcomes, settlement, open/close dates.
OHLCV candlesticks
Price and volume data bucketed at 1m, 5m, 15m, 1h, 4h, and 1d resolutions.
Social signals
Historical social media mentions and sentiment scores tied to prediction market events.
Wallet profiles
Point-in-time snapshots of wallet analytics, F-Scores, and performance metrics.
Custom training data
Purpose-built datasets for training ML models and fine-tuning LLMs on prediction market intelligence.Trader behavior patterns
Labeled datasets of trading strategies, timing, and outcomes for supervised learning and trader classification.
Market resolution corpus
Outcomes, settlement, and lifecycle fields aligned to historical snapshots for forecasting and calibration research.
Cross-platform event pairs
Matched Polymarket and Kalshi records for transfer learning and comparative studies.
Social–market fusion windows
Social Pulse signals time-aligned to market state for multimodal model training.
Delivery formats
JSON / JSONL
Recommended Structured records for APIs, data agents, and LLM ingestion.
CSV / Parquet
Tabular format for Pandas, Spark, BigQuery, and analytical tools.
API access
Paginated endpoints for programmatic bulk retrieval on demand.