BetRivers

Live coverage of BetRivers via the ParlayAPI moneyline / spread / total / player-prop aggregator. Classification: US retail sportsbook. Source key: betrivers.

Supported sports + markets (last 72h)

americanfootball_ncaaf (3 markets)

• spreads 1,140 rows
• moneyline 673 rows
• totals 571 rows

americanfootball_nfl (3 markets)

• moneyline 32 rows
• spreads 32 rows
• totals 16 rows

baseball_mlb (4 markets)

• spreads 195 rows
• moneyline 195 rows
• player_strikeouts 107 rows
• totals 103 rows

basketball_wnba (4 markets)

• player_first_fg_scorer 146 rows
• spreads 51 rows
• moneyline 48 rows
• totals 25 rows

soccer_epl (2 markets)

• h2h 59 rows
• moneyline 13 rows

soccer_france_ligue_one (2 markets)

• h2h 58 rows
• moneyline 10 rows

soccer_germany_bundesliga (2 markets)

• h2h 77 rows
• moneyline 14 rows

soccer_italy_serie_a (2 markets)

• h2h 224 rows
• moneyline 40 rows

soccer_spain_la_liga (2 markets)

• h2h 170 rows
• moneyline 27 rows

soccer_usa_mls (2 markets)

• h2h 1,078 rows
• moneyline 193 rows

tennis_atp (3 markets)

• moneyline 151 rows
• spreads 150 rows
• totals 94 rows

tennis_atp_us_open (3 markets)

• moneyline 213 rows
• spreads 143 rows
• totals 106 rows

tennis_wta (3 markets)

• moneyline 82 rows
• spreads 82 rows
• totals 45 rows

tennis_wta_us_open (3 markets)

• moneyline 261 rows
• spreads 170 rows
• totals 93 rows

How to query just this book

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

How freshness is graded

We poll BetRivers 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 BetRivers, 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.

Related

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