Live coverage of BetRivers (CA) via the ParlayAPI moneyline / spread / total / player-prop aggregator. Classification: Canadian retail sportsbook. Source key: betrivers_ca.
spreads 20 rowsmoneyline 4 rowsspreads 32 rowsspreads 8 rowsspreads 90 rowsspreads 25 rowsmoneyline 1,008 rowsh2h 308 rowsmoneyline 27 rowsmoneyline 60 rowsmoneyline 144 rowsh2h 25 rowsmoneyline 48 rowsmoneyline 45 rowsmoneyline 57 rowsh2h 4 rowsmoneyline 24 rowsmoneyline 12 rowsmoneyline 9 rowsmoneyline 24 rowsmoneyline 24 rowsmoneyline 3 rowsmoneyline 21 rowsmoneyline 32 rowsmoneyline 3 rowsmoneyline 222 rowsh2h 51 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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