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 (4 markets)

• spreads 24,648 rows
• alternate_spreads 14,616 rows
• totals 12,353 rows
• alternate_totals 7,338 rows

americanfootball_nfl (4 markets)

• spreads 21,674 rows
• totals 10,833 rows
• alternate_spreads 6,629 rows
• futures_futures 5,868 rows

basketball_europe_eurocup (1 markets)

• spreads 5,833 rows

basketball_europe_euroleague (1 markets)

• spreads 6,383 rows

basketball_lithuania_national_basketball_league (2 markets)

• spreads 8,766 rows
• alternate_spreads 6,833 rows

basketball_nba (2 markets)

• spreads 9,129 rows
• futures_futures 6,106 rows

icehockey_nhl (6 markets)

• player_game_props 62,870 rows
• spreads 8,943 rows
• player_goals 8,357 rows
• totals 6,622 rows
• futures_futures 6,032 rows
• player_assists 5,821 rows

soccer_argentina_liga_pro (1 markets)

• spreads 5,228 rows

soccer_epl (3 markets)

• spreads 25,450 rows
• totals 12,711 rows
• correct_score 8,079 rows

soccer_france_ligue_one (2 markets)

• spreads 25,939 rows
• totals 12,887 rows

soccer_germany_bundesliga (4 markets)

• spreads 26,343 rows
• totals 13,239 rows
• correct_score 6,348 rows
• team_totals 5,341 rows

soccer_germany_cup (1 markets)

• spreads 5,701 rows

soccer_italy_serie_a (8 markets)

• spreads 39,575 rows
• correct_score 21,437 rows
• totals 20,960 rows
• correct_score_1h 9,969 rows
• alternate_spreads 6,866 rows
• moneyline 6,860 rows
• winning_margin 6,494 rows
• team_totals 5,652 rows

soccer_italy_serie_b (1 markets)

• spreads 6,090 rows

soccer_spain_la_liga (3 markets)

• spreads 28,616 rows
• totals 14,349 rows
• correct_score 9,380 rows

soccer_uefa_champs_league (2 markets)

• spreads 18,415 rows
• totals 9,197 rows

soccer_uefa_europa_league (2 markets)

• spreads 15,691 rows
• totals 6,471 rows

soccer_usa_mls (11 markets)

• spreads 21,410 rows
• alternate_spreads 19,306 rows
• correct_score 19,158 rows
• correct_score_1h 10,204 rows
• totals 9,406 rows
• alternate_totals 8,489 rows
• winning_margin 7,975 rows
• exact_total_goals 6,001 rows
• moneyline_and_total_goals 5,450 rows
• both_teams_to_score_and_moneyline 5,251 rows
• winning_margin_1h 5,187 rows

soccer_usa_usl_championship (2 markets)

• spreads 7,535 rows
• alternate_spreads 5,616 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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