The Daily Fantasy API for DraftKings and FanDuel.

API=https://api.stat-api.com/api/v1/dfs
AUTH="Authorization: Bearer YOUR_API_KEY"

# 1. Fetch the slate
curl "$API/slates?operator_id=1&date=2026-09-20" -H "$AUTH"

# 2. Fetch priced player pool with roster eligibility
curl "$API/slate_players?slate_id=290871&limit=500" -H "$AUTH"

# 3. Fetch deep projections with 9-quantiles and opportunity
curl "$API/slates/290871/projections" -H "$AUTH"

# 4. Download a contest's lineups as CSV, with player pool, ownership & rosters
curl "$API/contests/7644474/download?format=csv" -H "$AUTH"

# 5. Download the same contest as JSON
curl "$API/contests/7644474/download?format=json" -H "$AUTH"

import requests
import pandas as pd

H = {"Authorization": "Bearer YOUR_API_KEY"}
BASE = "https://api.stat-api.com/api/v1/dfs"

# 1. Ingest priced pool
pool = requests.get(
    f"{BASE}/slate_players",
    params={"slate_id": 290871, "limit": 500},
    headers=H,
).json()["slate_players"]
df_pool = pd.DataFrame(pool)

# 2. Ingest projections (quantiles & opportunity)
proj = requests.get(f"{BASE}/slates/290871/projections", headers=H).json()["projections"]
df_proj = pd.DataFrame([{
    "slate_player_id": p["player"]["slate_player_id"],
    "fpts": float(p["projection"]["fantasy_pts"]),
    "p90": float(p["projection"]["quantiles"]["p90"]),
    "fragility": float(p["ownership"]["chalk_fragility"]),
} for p in proj])

# 3. Merge for an LP/MIP optimizer, such as PuLP or scipy.optimize
slate_df = df_pool.merge(df_proj, left_on="id", right_on="slate_player_id")

# Fetch slate and contests in one request
# POST https://api.stat-api.com/api/v1/graphql
# Note: Entrant lineups and roster entries are retrieved via
# the Contest Download endpoint: GET /api/v1/dfs/contests/{contest_id}/download
query SlateContestTree($slateId: Int!) {
  dfs {
    contests(slate_id: $slateId) {
      id
      name
      entry_fee
      prize_pool
      entry_count
    }
  }
}