Live coverage of BetRivers (CA) via the ParlayAPI moneyline / spread / total / player-prop aggregator. Classification: Canadian retail sportsbook. Source key: betrivers_ca.
spreads 3,783 rowsmoneyline 9 rowsspreads 1,165 rowsmoneyline 40 rowsmoneyline 482 rowsspreads 1,218 rowsspreads 137 rowsmoneyline 448 rowsmoneyline 895 rowsmoneyline 1,921 rowsmoneyline 845 rowsmoneyline 1,764 rowsmoneyline 933 rowsmoneyline 407 rowsmoneyline 1,928 rowsmoneyline 90 rowsmoneyline 810 rowsmoneyline 955 rowsmoneyline 744 rowsmoneyline 933 rowsmoneyline 901 rowsmoneyline 1,777 rowsmoneyline 749 rowsmoneyline 691 rowsmoneyline 1,800 rowsmoneyline 1,791 rowsmoneyline 1,661 rowsmoneyline 905 rowscurl -s 'https://parlay-api.com/v1/sports/baseball_mlb/odds?regions=us&markets=h2h&bookmakers=betrivers_ca' \
-H "X-API-Key: $PARLAY_API_KEY"
We poll BetRivers (CA) on the International / non-US freshness tier, which means we expect a new observation within 90s under healthy operation. Observations between 90s and 300s are flagged "degraded". Between 300s and 1800s we mark "breach" and page an operator. Beyond 1800s 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 BetRivers (CA), 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=betrivers_ca.
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