Sports betting API · Buyer guide

A sports betting API built around executable market evidence

Most sports betting APIs return a line. ScoreTape returns the line, the prediction-market book behind the tradable price, the game that market represents, and the evidence that settled it. That makes the feed useful for backtests, execution models, alerting, and market-quality research rather than only displaying odds.

Test the API free Read the docs

sports betting API

primary buyer intent

320 US searches/month · $14.22 CPC

fresh DataForSEO evidence

Explicit

coverage and product limits

Direct answer

A sports betting API should let a buyer discover events, compare odds, model available liquidity, track relevant news, and verify outcomes. ScoreTape combines those jobs for Polymarket and Kalshi sports markets with sportsbook odds, game results, props, and supported injury history.

Algorithmic sports-betting researchersPrediction-market trading teamsOdds comparison and alert productsDevelopers building bet-tracking or market-analysis tools

What you can buy

Coverage that answers a product question.

Model the fill, not the midpoint

Use order-book price and size at each level to estimate spread, slippage, capacity, and whether a displayed edge was actually executable.

Compare exchange and sportsbook prices

Keep Polymarket and Kalshi contracts beside available multi-book moneylines, spreads, totals, and historical closing lines.

Reconstruct pregame information

Use recorded line movement and supported injury changes as they existed before kickoff or tip-off instead of leaking later information into a backtest.

Close the research loop

Resolve every supported market to settlement and a real result so grading, error analysis, and model evaluation use the same entity mapping.

Integration surface

GET /v1/games/{slug}

Start with a bounded real request. Confirm authentication, response shape, source coverage, pagination, rate limits, and missing-data behavior before planning a migration.

curl "https://api.scoretape.com/v1/games/nba-bos-ny-2026-02-07" \
  -H "Authorization: Bearer $SCORETAPE_API_KEY"

Select

Choose the league, game, market type, venue, and historical cutoff.

Compare

Read the prediction book beside the sportsbook line and current game context.

Simulate

Walk available levels with your stake size, fees, and timing assumptions.

Grade

Use the joined settlement and final result, while retaining any coverage exception.

Buyer evaluation

Verify the feed before you commit.

Criterion	ScoreTape approach	Acceptance test
Odds scope	Sportsbook and prediction-market prices	Check books and market types for target leagues
Liquidity	Price and size across the order book	Compare modeled fills with top-of-book shortcuts
Historical honesty	Forward-captured depth with explicit archive limits	Confirm earliest date per required stream
Grading	Market settlement mapped to real result	Test cancellations, pushes, and unmatched records
Commercial fit	Free discovery plus capacity-based paid plans	Estimate request, history, and live-book needs

Product boundaries to retain in the decision

Prediction-market depth is forward-captured and cannot be reconstructed after a market closes.
Sportsbook history differs by league: NFL closing lines reach 1999 and the five major European domestic soccer leagues reach 2000/01; other competitions have shorter or forward-growing coverage.
Live WebSocket capacity and retained history depend on plan. REST discovery is available on every tier, but buyers should verify current limits before production sizing.
ScoreTape is independent and is not an exchange, sportsbook, league, or source of betting recommendations.

Questions buyers ask

Clear answers before checkout.

Does ScoreTape place bets?

No. ScoreTape is a data and research API. It does not custody funds, execute wagers, recommend bets, or guarantee profitability.

Which betting markets are represented?

Coverage includes prediction-market moneylines, spreads, totals, props, outrights, and sport-specific contract types as they exist on Polymarket and Kalshi. The sportsbook comparison layer varies by league.

Can I backtest against order-book depth?

Yes, for periods captured by the tape. Depth is not reconstructed from last trades, and it cannot be backfilled after a market has closed.

How should I compare sports betting API pricing?

Compare retained history, request rate, live connections, covered books, update cadence, redistribution rights, and the engineering cost of joining events—not only the monthly sticker price.

Pricing

Choose capacity, not venues

One account and one API for the complete ScoreTape lineup. Polymarket and Kalshi sports coverage ships together; tiers change history, throughput, and live-book concurrency.

Explorer

$0free, no card

A limited sample of the complete ScoreTape API.

Start free

7-day unified history
Sports REST: Polymarket + Kalshi
Read-only API, 1 req/sec
Sub-second event-driven snapshots
BTC markets (latest, capped)
Live WebSocket stream: 1 BTC subscription
Backtest Lab + 1 paper-trading strategy

Quant

Desk Lite

$79per month

3× the history, 2× the throughput of Quant.

Get Desk Lite

90-day unified history (3× Quant)
API 50 req/sec, 3,000 req/min
Everything in Quant
Every supported venue — no add-ons
Sports REST + 2 live sports books
Live WebSocket: 25 subscriptions, 2 connections
15 paper-trading strategies

Desk

Full archive

$200per month

Dedicated capacity for systematic desks.

Get Desk

Full historical archive — our deepest window
Sports full archive across every supported league
Dedicated capacity, 100 req/sec
6,000 req/min sustained
Everything in Desk Lite
Priority backfill requests
Live WebSocket: 100 subscriptions, 5 connections, wildcards + 3 sports books
7-day production-latency evaluation available on request
40 paper-trading strategies

Continue evaluating

Test your real league and workflow.

Create a free key, inspect current coverage, and run representative requests before choosing capacity.