Pinnacle

Live coverage of Pinnacle via the ParlayAPI moneyline / spread / total / player-prop aggregator. Classification: Sharp book. Source key: pinnacle.

Supported sports + markets (last 72h)

americanfootball_ncaaf (6 markets)

• player_receiving_yards 16,898 rows
• 1H_spread 16,704 rows
• spreads 13,195 rows
• player_rushing_yards 10,798 rows
• alternate_spreads 7,716 rows
• totals 6,665 rows

americanfootball_nfl (9 markets)

• player_game_props 65,307 rows
• spreads 31,583 rows
• totals 15,344 rows
• player_receiving_yards 9,496 rows
• player_receptions 9,354 rows
• 1H_spread 9,324 rows
• 1H_total 9,324 rows
• futures_futures 7,308 rows
• player_touchdowns 6,695 rows

basketball_germany_pro_b (1 markets)

• spreads 6,847 rows

basketball_italy_serie_b (1 markets)

• spreads 6,831 rows

basketball_lithuania_national_basketball_league (1 markets)

• spreads 7,357 rows

basketball_nba (2 markets)

• spreads 11,543 rows
• futures_futures 8,205 rows

basketball_poland_1_liga (1 markets)

• spreads 7,584 rows

basketball_romania_division_a (1 markets)

• spreads 6,384 rows

icehockey_nhl (5 markets)

• player_game_props 97,853 rows
• player_goals 9,680 rows
• futures_futures 9,408 rows
• player_assists 7,943 rows
• spreads 7,750 rows

soccer_epl (5 markets)

• spreads 42,365 rows
• totals 22,782 rows
• correct_score 11,192 rows
• moneyline 7,298 rows
• team_totals 6,309 rows

soccer_france_ligue_one (2 markets)

• spreads 29,425 rows
• totals 15,683 rows

soccer_germany_bundesliga (5 markets)

• spreads 34,458 rows
• totals 18,564 rows
• correct_score 8,461 rows
• 1H_spread 6,540 rows
• 1H_total 6,540 rows

soccer_italy_serie_a (4 markets)

• spreads 25,707 rows
• totals 14,345 rows
• correct_score 12,923 rows
• correct_score_1h 6,393 rows

soccer_spain_la_liga (4 markets)

• spreads 34,752 rows
• totals 17,969 rows
• correct_score 7,590 rows
• 1H_spread 6,344 rows

soccer_uefa_champs_league (4 markets)

• spreads 24,408 rows
• correct_score 19,847 rows
• totals 12,273 rows
• correct_score_1h 8,442 rows

soccer_uefa_europa_league (2 markets)

• spreads 24,368 rows
• totals 10,166 rows

soccer_usa_mls (7 markets)

• spreads 17,935 rows
• correct_score 15,590 rows
• alternate_spreads 14,118 rows
• totals 9,214 rows
• correct_score_1h 8,155 rows
• alternate_totals 7,256 rows
• winning_margin 6,526 rows

How to query just this book

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

How freshness is graded

We poll Pinnacle on the Sharp anchor (hot-loop) freshness tier, which means we expect a new observation within 5s under healthy operation. Observations between 5s and 15s are flagged "degraded". Between 15s and 60s we mark "breach" and page an operator. Beyond 60s 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 Pinnacle, 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=pinnacle.

Related

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