BetOnline

Live coverage of BetOnline via the ParlayAPI moneyline / spread / total / player-prop aggregator. Classification: Offshore sportsbook serving US bettors. Source key: betonline.

Supported sports + markets (last 72h)

americanfootball_ncaaf (3 markets)

• h2h 17,778 rows
• totals 2,718 rows
• spreads 2,697 rows

americanfootball_nfl (3 markets)

• h2h 5,374 rows
• spreads 838 rows
• totals 784 rows

baseball_mlb (3 markets)

• h2h 511 rows
• totals 212 rows
• spreads 179 rows

How to query just this book

curl -s 'https://parlay-api.com/v1/sports/baseball_mlb/odds?regions=us&markets=h2h&bookmakers=betonline' \
  -H "X-API-Key: $PARLAY_API_KEY"

How freshness is graded

We poll BetOnline on the US mid-tier book freshness tier, which means we expect a new observation within 30s under healthy operation. Observations between 30s and 120s are flagged "degraded". Between 120s and 600s we mark "breach" and page an operator. Beyond 600s the source is "stale" and we typically pause comparisons against it until it recovers.

These thresholds are measured on the book as a whole: they say how long we can go without any new price from BetOnline, and not how old the price on one particular game is. A source that walks its slate one event at a time refreshes any single market less often than the tier above. Measured on production 2026-07-31, Fliff wrote a price every 5.3s at the median book-wide while its median WNBA game went 169s between writes, both healthy. For the age of a specific price, read the last_update field on that row rather than this tier.

Full per-book threshold table at /v1/meta/per-book-sla. Live operator dashboard at /uptime. Historical hourly observation rate at /v1/historical/source-quality.csv?source=betonline.

Related

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