Pricing, Models & Backtesting
Build Sharper Models on Unified Data.
Normalized data from 31+ sources, one schema for books and prediction markets, and historical data for backtesting.
What You Can Build
How market maker teams use SportsStack
Model on 30+ Sources
Normalized stats, odds, and context from 31+ providers in one schema — more signal for sharper models.
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Compare Prices Across Books & Markets
Sportsbook odds and prediction market prices normalized into one schema, so you can compare pricing head-to-head.
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Backtest on Historical Data
Query historical stats, odds, and outcomes to validate models before you trade on them.
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Find Edge in Unique Feeds
Access harder-to-find sources like Inside Edge, Swish, and prediction market feeds most models never see.
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Catch Bad Data Before It Skews a Model
Cross-validated data and an auto-fix engine flag discrepancies before they reach your pricing models.
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Outcomes That Matter
Measurable results from day one.
Product
Unified API
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80% faster integrations
Ship in days, not months.
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Zero-rewrite provider switching
Swap or add providers without touching your code.
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One schema across the business
Every team operates off the same truth.
Product
Settlement Agent
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Find issues before your customers do
Cross-provider validation catches what single-source setups can't.
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Reduce ops burden from data errors
Impact-prioritized alerts. Less manual cross-checking.
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Resolve issues quickly
Confidence scoring and automated fixes. No long ops cycles.