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 32,248 rows
• moneyline 31,209 rows
• totals 15,647 rows

americanfootball_nfl (7 markets)

• player_rec_yds 8,621 rows
• moneyline 8,172 rows
• player_rush_yds 7,923 rows
• totals 4,086 rows
• player_pass_tds 3,662 rows
• player_pass_yds 3,104 rows
• spreads 224 rows

basketball_nba (3 markets)

• spreads 7,274 rows
• moneyline 6,029 rows
• totals 3,066 rows

basketball_wnba (3 markets)

• spreads 624 rows
• moneyline 624 rows
• totals 312 rows

icehockey_nhl (3 markets)

• spreads 2,818 rows
• moneyline 2,759 rows
• totals 1,385 rows

soccer_epl (2 markets)

• moneyline 15 rows
• h2h 5 rows

soccer_france_ligue_one (2 markets)

• moneyline 18 rows
• h2h 7 rows

soccer_germany_bundesliga (2 markets)

• moneyline 24 rows
• h2h 5 rows

soccer_italy_serie_a (2 markets)

• moneyline 20 rows
• h2h 8 rows

soccer_spain_la_liga (2 markets)

• moneyline 38 rows
• h2h 9 rows

soccer_usa_mls (2 markets)

• moneyline 52 rows
• h2h 22 rows

tennis_atp (3 markets)

• spreads 2,438 rows
• moneyline 2,438 rows
• totals 1,219 rows

tennis_wta (3 markets)

• moneyline 2,288 rows
• spreads 1,720 rows
• totals 1,001 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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