Oddpool normalizes prediction-market data for research and trading desks, with search, historical orderbooks, execution data and live probability streams. Its current offer focuses on data delivery rather than a funded trading platform connection.
The site mentions institutional prop trading desks as data customers. That is not approval by retail prop firms, and does not establish access to any underlying prediction market in your jurisdiction.
Vendor-source profile · Sources read 18 October 2026 · No rating assigned
The official homepage lists a free tier with 1,000 requests per month, Pro at $30 per month and Premium at $100 per month. Institutional delivery is quoted individually. Paid request limits and annual totals were not established by the vendor page.
Free
$0 / month
1,000 requests per month; no card as advertised
Self-serve normalized data access
Pro
$30 / month
Monthly price shown
Confirm request limits and endpoint entitlements
Premium
$100 / month
Monthly price shown
Confirm request limits and endpoint entitlements
Institutional
Request quote
Sales-led delivery
Data scope and commercial licensing agreed separately
Prices and availability can change. Check the vendor checkout and terms before paying. Source: official pricing.
Research access does not override underlying exchange eligibility, regional restrictions or market-specific law.
Who Oddpool suits
For prediction-market data research
Useful for developers who need a common schema for event search, historical books and live data.
For retail prop execution
Not an established connection for funded MetaTrader or futures accounts. Underlying venue permissions remain separate.
What Oddpool includes
The official Oddpool documentation describes these functions. Plan and connection limits apply.
Normalized market search
A common event-search endpoint reduces the need to search each venue separately.
Historical orderbooks
The API offers historical full-depth orderbook snapshots for research and backtesting.
Execution tape
Historical trade data includes price, size and taker side for flow analysis.
Live WebSocket stream
The homepage describes a normalized WebSocket keyed by market for live probability data.
Research archives
Institutional archives are described as Parquet data usable in DuckDB or Spark, with versioned reference information.
Platforms and access
Oddpool supplies prediction-market data, with Kalshi and Polymarket named in the official page title. Data coverage is not account execution support or permission to trade on those venues.
Oddpool REST APIOddpool WebSocket feedsParquet archives for institutional deliveryDuckDB and Spark research workflows
The site mentions institutional prop trading desks as data customers. That is not approval by retail prop firms, and does not establish access to any underlying prediction market in your jurisdiction.
Venue and jurisdiction rules. Research access does not override underlying exchange eligibility, regional restrictions or market-specific law.
Data licence and keys. Check redistribution and commercial-use permissions. Keep API keys out of client code and shared notebooks.
Quota cost. Free requests are capped at 1,000 per month. Confirm paid quotas, historical data scope and institutional delivery fees.
Backtest realism. Orderbook history and cross-venue prices need fee, spread, settlement and timestamp alignment before comparison.
The homepage states 1,000 requests per month and no credit card requirement. Confirm endpoint-specific access in the docs.
How much are paid plans?
The published homepage lists Pro at $30 per month and Premium at $100 per month. Institutional delivery needs a quote.
Is Oddpool a retail prop-firm integration?
No such integration is established. References to prop trading desks describe institutional data users.
Does data access grant trading access?
No. Underlying venues set their own account, jurisdiction and trading conditions.
Sources and disclosure
Source record: 18 October 2026. Vendor documentation supports product claims, not independent performance validation. This profile links directly to official vendor pages. No product rating or hands-on testing is claimed.