Fanatics

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

Supported sports + markets (last 72h)

americanfootball_ncaaf (7 markets)

• spreads 2,626 rows
• moneyline 2,224 rows
• totals 1,285 rows
• player_to_score_2_or_more_touchdowns 590 rows
• player_first_touchdown_scorer 586 rows
• player_anytime_touchdown_scorer 584 rows
• player_to_score_3_or_more_touchdowns 451 rows

americanfootball_nfl (47 markets)

• 1H_h2h 41,056 rows
• Q1_total 41,056 rows
• Q1_h2h 41,056 rows
• 1H_total 41,056 rows
• 1H_spread 40,940 rows
• Q1_spread 40,204 rows
• player_anytime_touchdown_scorer 6,797 rows
• Q4_spread 5,132 rows
• 2H_h2h 5,132 rows
• Q2_h2h 5,132 rows
• 2H_total 5,132 rows
• Q2_total 5,132 rows
• Q4_h2h 5,132 rows
• Q4_total 5,132 rows
• Q3_spread 5,132 rows
• Q2_spread 5,132 rows
• Q3_total 5,132 rows
• 2H_spread 5,132 rows
• player_last_touchdown_scorer 4,812 rows
• player_first_touchdown_scorer 4,786 rows

baseball_mlb (6 markets)

• player_home_runs_alt 6,124 rows
• player_total_bases 3,848 rows
• player_rbis 3,797 rows
• player_hits 3,750 rows
• player_hits_runs_rbis 2,801 rows
• player_doubles 589 rows

How to query just this book

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

How freshness is graded

We poll Fanatics on the US marquee book freshness tier, which means we expect a new observation within 15s under healthy operation. Observations between 15s and 60s are flagged "degraded". Between 60s and 300s we mark "breach" and page an operator. Beyond 300s 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 Fanatics, 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=fanatics.

Related

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