Live coverage of Pick6 (DraftKings) via the ParlayAPI moneyline / spread / total / player-prop aggregator. Classification: DFS pick-em (single price, no two-sided market). Source key: pick6.
player_receiving_yds 167,952 rowsplayer_rush__rec_tds 135,935 rowsplayer_pass_yds 116,858 rowsplayer_rush_yds 60,343 rowsplayer_receptions 22,645 rowsplayer_passing_touchdowns 13,978 rowsplayer_passing_tds 4,997 rowsplayer_hits__runs__rbis 233,884 rowsplayer_strikeouts_thrown 84,775 rowsplayer_total_bases_(from_hits) 40,608 rowsplayer_home_runs 13,818 rowsplayer_hits 13,082 rowsplayer_hits__walks__stolen_bases 2,581 rowscurl -s 'https://parlay-api.com/v1/sports/baseball_mlb/odds?regions=us&markets=h2h&bookmakers=pick6' \
-H "X-API-Key: $PARLAY_API_KEY"
We poll Pick6 (DraftKings) on the Daily fantasy / pick-em and sweepstakes freshness tier, which means we expect a new observation within 60s under healthy operation. Observations between 60s and 300s are flagged "degraded". Between 300s and 1800s we mark "breach" and page an operator. Beyond 1800s 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 Pick6 (DraftKings), 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=pick6.
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