Build on the CrossOdds feed

# Arb opportunities only
curl "https://www.crossodds.app/api/v1/opportunities?type=arb" \
  -H "Authorization: Bearer xo_live_<your-key>"

# Whale trades only — large Polymarket trades in last 6 hours
curl "https://www.crossodds.app/api/v1/opportunities?type=whales&platform=polymarket&minSize=25000&hours=6" \
  -H "Authorization: Bearer xo_live_<your-key>"

# Weather edges — forecast vs. market mispricing
curl "https://www.crossodds.app/api/v1/opportunities?type=weather&minEdge=0.10" \
  -H "Authorization: Bearer xo_live_<your-key>"

# Arbs + whales (default) — high-confidence arbs + top-50 leaderboard whales
curl "https://www.crossodds.app/api/v1/opportunities?minQuality=80&leaderboardOnly=true" \
  -H "Authorization: Bearer xo_live_<your-key>"

import httpx

# Arb opportunities only, sorted by confidence
arb_data = httpx.get(
    "https://www.crossodds.app/api/v1/opportunities",
    headers={"Authorization": "Bearer xo_live_<your-key>"},
    params={"type": "arb", "sort": "quality", "minQuality": 75},
).json()
arbs = arb_data["arbs"]

# Whale trades only
whale_data = httpx.get(
    "https://www.crossodds.app/api/v1/opportunities",
    headers={"Authorization": "Bearer xo_live_<your-key>"},
    params={"type": "whales", "platform": "polymarket", "minSize": 10000, "hours": 6},
).json()
whales = whale_data["whales"]

# Weather edges — ensemble forecast vs. market odds
weather_data = httpx.get(
    "https://www.crossodds.app/api/v1/opportunities",
    headers={"Authorization": "Bearer xo_live_<your-key>"},
    params={"type": "weather", "minEdge": 0.10, "metric": "temperature_max"},
).json()
edges = weather_data["weather"]

// Arb only — highest spread first
const arbs = await fetch(
  "https://www.crossodds.app/api/v1/opportunities?type=arb&sort=spread",
  { headers: { Authorization: "Bearer xo_live_<your-key>" } }
).then(r => r.json()).then(d => d.arbs);

// Whale only — top-50 leaderboard trades
const whales = await fetch(
  "https://www.crossodds.app/api/v1/opportunities?type=whales&leaderboardOnly=true",
  { headers: { Authorization: "Bearer xo_live_<your-key>" } }
).then(r => r.json()).then(d => d.whales);

// Weather edges — forecast mispricing
const edges = await fetch(
  "https://www.crossodds.app/api/v1/opportunities?type=weather&minEdge=0.10",
  { headers: { Authorization: "Bearer xo_live_<your-key>" } }
).then(r => r.json()).then(d => d.weather);

{
  "arbs": [
    {
      "id": 1842,
      "question": "Will the Fed cut rates in June?",
      "polyQuestion": "Federal Reserve rate cut - June 2025?",
      "kalshiId": "FED-25JUN-RATECUT",
      "polyId": "0x9f2b...",
      "arbType": "yes/no",
      "spreadPct": 3.4,
      "netSpreadPct": 2.8,
      "qualityScore": 91.0,
      "kalshiOdds": { "yesBid": 0.61, "yesAsk": 0.63, "noBid": 0.37, "noAsk": 0.39 },
      "polyOdds":   { "yesBid": 0.35, "yesAsk": 0.37, "noBid": 0.63, "noAsk": 0.65 },
      "clobTokenIds": ["71321...", "29847..."],
      "detectedAt": "2025-06-01T14:22:31Z",
      "warnings": []
    }
  ],
  "whales": [
    {
      "id": 908,
      "platform": "polymarket",
      "marketId": "0xabc123...",
      "tradeId": "0xtxhash...",
      "size": 75000,
      "price": 0.38,
      "side": "yes",
      "takerSide": null,
      "marketQuestion": "Will the Fed cut rates in June?",
      "marketUrl": "https://polymarket.com/event/fed-rate-cut-june",
      "tradeTimestamp": "2025-06-01T13:55:00Z",
      "detectedAt": "2025-06-01T13:55:12Z"
    }
  ],
  "weather": [
    {
      "id": 312,
      "platform": "kalshi",
      "marketId": "KXHIGHNY-26APR10-T68",
      "question": "Will the high temperature in NYC exceed 68°F on April 10?",
      "locationName": "New York City, Central Park",
      "metric": "temperature_max",
      "threshold": ">68°F",
      "thresholdValue": 68,
      "thresholdValueUpper": null,
      "thresholdUnit": "F",
      "thresholdOp": "gt",
      "targetDate": "2026-04-10",
      "resolutionSource": "NOAA",
      "marketUrl": "https://kalshi.com/markets/KXHIGHNY",
      "marketYesPrice": 0.42,
      "marketNoPrice": 0.58,
      "forecastProbability": 0.634,
      "edge": 0.214,
      "edgePct": 21.4,
      "absEdge": 0.214,
      "absEdgePct": 21.4,
      "edgeDirection": "buy_yes",
      "ensembleModel": "gfs_seamless,ecmwf_ifs04",
      "ensembleMembers": 82,
      "forecastSource": "Open-Meteo Ensemble",
      "detectedAt": "2026-04-04T12:30:00Z",
      "forecastFetchedAt": "2026-04-04T12:29:45Z"
    }
  ]
}