Fliff

Live coverage of Fliff via the ParlayAPI moneyline / spread / total / player-prop aggregator. Classification: US sweepstakes sportsbook (real two-sided pricing). Source key: fliff.

Supported sports + markets (last 72h)

baseball_mlb (24 markets)

• player_rbis 1,263 rows
• player_hits_runs_rbis 1,225 rows
• player_hits 1,203 rows
• player_total_bases 1,186 rows
• team_totals 1,113 rows
• player_home_runs 1,025 rows
• player_walks 923 rows
• alternate_spreads 874 rows
• alternate_totals 860 rows
• player_singles 674 rows
• totals_1st_5_innings 616 rows
• player_runs 547 rows
• moneyline 232 rows
• player_1st_inning_runs_allowed 176 rows
• player_strikeouts 142 rows
• player_hits_allowed 129 rows
• player_outs 129 rows
• player_earned_runs 127 rows
• player_doubles 79 rows
• spreads 70 rows

basketball_wnba (13 markets)

• player_points 280 rows
• player_pts_rebs_asts 267 rows
• player_three_pointers 214 rows
• player_rebounds 207 rows
• player_assists 191 rows
• moneyline 40 rows
• alternate_totals 34 rows
• totals 34 rows
• spreads 32 rows
• alternate_spreads 32 rows
• totals_1st_half 4 rows
• h2h_1st_half 4 rows
• spreads_1st_half 4 rows

How to query just this book

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

How freshness is graded

We poll Fliff 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 Fliff, 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=fliff.

Related

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