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Prove your edge.

Every major sportsbook normalized and ready for your pipeline. Drop your email to download free sample datasets now.

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one row, every book

// normalized spread market — same schema for every operator
game: "BOS@MIA_2025-04-14",
operator: "FANDUEL",
market_type: "SPREAD",
line: -3.5,
price: -110,
opened_at: -4.5,
updated_ts: "2025-04-14T18:22:07Z"

Spreads, totals, moneylines and props from every book — one flat schema, no per-operator parsers. Full sample lands in your inbox at launch.

featured books & marketsFanDuelFanDuelDraftKingsDraftKingsBetMGMBetMGMPinnaclePinnaclePolymarketPolymarketKalshiKalshi

hypothesis engine

Ask a question. Get an answer.

Type a hypothesis in plain English. BetFlux generates the query, runs the analysis, and surfaces upcoming markets where the edge applies.

example:
01 · hypothesis

▋

02 · betflux query
03 · analysis

LAL @ BOS — BOS spread odds (American)

D-8h pre-game through final whistle · 3 books · tick-level · BOS -3.5

steam moveline closetip-offbasketQ1 endbaskethalftimeTatum ×3Q3 end

← pre-game | in-game (live) →

game context

Every tick. Open to final whistle.

Full tick-level odds history across all books — pre-game movement, live in-game feed, and closing line value in one normalized dataset.

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skip the plumbing

Stop building pipes.

The hard parts are already done. BetFlux handles the infrastructure so you can focus on finding edge.

no need to Match teams and players across APIs

'Golden State Warriors', 'GSW', 'Warriors' — every sportsbook uses its own entity IDs and naming conventions, across every league and season. We maintain canonical mappings so your model sees consistent identifiers, not operator noise.

●BetFlux handles this

no need to Understand sportsbook structures and nuances

FanDuel, DraftKings, BetMGM, Caesars — different APIs, different auth flows, different data shapes. We normalize everything into a single unified schema. One endpoint, every book, every market — spreads, totals, moneylines, props — no custom parsers.

●BetFlux handles this

no need to Analyze markets to determine their structure

Spreads, totals, moneylines, props, parlays — each market type has different semantics, selection structures, and implied probability math. We classify and normalize every market so your model always knows what it's looking at.

●BetFlux handles this

no need to De-vig the odds

Converting American odds to true probabilities, stripping the house margin, handling correlated markets — tedious and error-prone. We ship de-vigged probabilities as a first-class field on every record.

●BetFlux handles this

market landscape

There's nothing else like this.

Existing odds APIs give you raw numbers. We give you the complete data stack — normalized, enriched, and model-ready out of the box.

Roll Your Own
Odds APIs
BetFlux
Normalized schema across all sportsbooks
Full time-series line history
CLV & closing line signals
Live game state (score, clock, possession)
LLM-ready prompt formatting
Integrated backtest engine
Supported
Limited
Not available

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