Live coverage of Fanatics via the ParlayAPI moneyline / spread / total / player-prop aggregator. Classification: US retail sportsbook. Source key: fanatics.
spreads 31,153 rowsmoneyline 30,547 rowstotals 15,580 rowsplayer_anytime_td 5,367 rowsplayer_anytime_td 22,316 rowsplayer_rush_yds 8,748 rowsspreads 8,197 rowsmoneyline 8,188 rowsplayer_rec_yds 8,038 rowsplayer_receptions 7,945 rowstotals 4,098 rowsQ1_spread 4,030 rowsQ1_h2h 4,030 rowsQ1_total 4,030 rows1H_total 4,030 rows1H_spread 4,030 rows1H_h2h 4,030 rowsplayer_pass_yds 3,541 rowsplayer_pass_tds 3,538 rowsQ4_h2h 2,170 rowsQ4_total 2,170 rowsQ3_spread 2,170 rowsQ2_spread 2,170 rowsQ3_total 2,170 rowsmoneyline 5,938 rowsspreads 5,936 rowstotals 2,715 rowsspreads 2,246 rowsmoneyline 2,244 rowstotals 1,122 rowscurl -s 'https://parlay-api.com/v1/sports/baseball_mlb/odds?regions=us&markets=h2h&bookmakers=fanatics' \
-H "X-API-Key: $PARLAY_API_KEY"
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.
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