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unusual-whales-api
Query the Unusual Whales API for unusual options flow, dark pool prints, market tide sentiment, gamma exposure, congressional trading, and stock greeks. Use when someone asks about "unusual options activity", "whale trades", "dark pool prints", "market sentiment", "gamma exposure", "GEX", "congre...
Full skill instructions
Query the Unusual Whales API for institutional-grade market data — unusual options flow, dark pool prints, market tide sentiment, gamma exposure, congressional trading, and stock greeks.
Use this skill when the user asks for financial data related to:
UNUSUAL_WHALES_API_TOKEN in your environmentBase URL: Always use https://api.unusualwhales.com
Authentication: All requests MUST include the header:
Authorization: Bearer <API_TOKEN>
Method: All endpoints are GET requests. Never use POST, PUT, or DELETE.
Strict Whitelist: You may ONLY use endpoints listed in the "Valid Endpoint Reference" section below. If a URL is not on that list, it does not exist.
These endpoints are fake but commonly hallucinated by AI models:
/api/options/flow — Use /api/option-trades/flow-alerts/api/flow or /api/flow/live/api/stock/{ticker}/flow — Use /api/stock/{ticker}/flow-recent/api/stock/{ticker}/options — Use /api/stock/{ticker}/option-contracts/api/unusual-activity/api/v1/ or /api/v2/apiKey= or api_key= — Use Authorization header onlyTranslate user intent to the correct endpoint:
/api/option-trades/flow-alerts/api/screener/option-contracts/api/market/market-tide/api/darkpool/recent or /api/darkpool/{ticker}/api/stock/{ticker}/greeks/api/stock/{ticker}/spot-exposures/strike/api/option-trades/flow-alerts
limit, is_call, is_put, is_otm, min_premium, ticker_symbol, size_greater_oi/api/screener/option-contracts
limit, min_premium, type, is_otm, issue_types[], min_volume_oi_ratio/api/stock/{ticker}/flow-recent/api/darkpool/{ticker}/api/darkpool/recent/api/market/market-tide/api/stock/{ticker}/net-prem-ticks/api/stock/{ticker}/option-contracts/api/stock/{ticker}/greeks/api/stock/{ticker}/greek-exposure/strike/api/stock/{ticker}/spot-exposures/strike/api/stock/{ticker}/interpolated-iv/api/stock/{ticker}/options-volume/api/insider/transactions/api/congress/recent-trades/api/news/headlinesUser prompt: "Show me the latest unusual option trades for TSLA."
# unusual_whales_flow.py — Fetch unusual options flow alerts for a ticker
import httpx
url = "https://api.unusualwhales.com/api/option-trades/flow-alerts"
headers = {"Authorization": "Bearer YOUR_TOKEN"}
params = {
"ticker_symbol": "TSLA",
"min_premium": 50_000, # Minimum $50K premium
"size_greater_oi": True, # Opening trades where size > open_interest
"limit": 10,
"is_otm": True # Out-of-the-money only
}
response = httpx.get(url, headers=headers, params=params)
trades = response.json().get("data", [])
for trade in trades:
print(f"{trade['ticker']} | {trade['type']} | ${trade['total_premium']:,.0f}")
User prompt: "Show me unusually bullish option activity for today."
# unusual_whales_screener.py — Screen for bullish options activity
import httpx
url = "https://api.unusualwhales.com/api/screener/option-contracts"
headers = {"Authorization": "Bearer YOUR_TOKEN"}
params = {
"limit": 150,
"is_otm": True,
"issue_types[]": ["Common Stock", "ADR"],
"max_dte": 183, # Max 6 months to expiry
"max_multileg_volume_ratio": 0.1, # Filter out spread trades
"min_ask_perc": 0.7, # Aggressive buyers (paying near ask)
"min_volume": 500,
"min_premium": 250_000, # $250K+ premium
"type": "Calls", # Bullish = calls
"vol_greater_oi": True, # Volume exceeds open interest
}
response = httpx.get(url, headers=headers, params=params)
data = response.json().get("data", [])
for contract in data:
print(f"{contract['ticker_symbol']} {contract['option_symbol']} | Vol: {contract.get('ask_side_volume')}")
User prompt: "Any big dark pool prints on NVDA?"
# unusual_whales_darkpool.py — Fetch dark pool trades for a ticker
import httpx
url = "https://api.unusualwhales.com/api/darkpool/NVDA"
headers = {"Authorization": "Bearer YOUR_TOKEN"}
response = httpx.get(url, headers=headers)
prints = response.json().get("data", [])
for p in prints:
notional = float(p['price']) * int(p['size'])
print(f"${notional:,.0f} | {p['size']} shares @ ${p['price']} | {p['executed_at']}")
User prompt: "What is the overall market sentiment right now?"
# unusual_whales_tide.py — Fetch market tide sentiment data
import httpx
url = "https://api.unusualwhales.com/api/market/market-tide"
headers = {"Authorization": "Bearer YOUR_TOKEN"}
params = {"interval_5m": False} # Full day view
response = httpx.get(url, headers=headers, params=params)
data = response.json().get("data", [])
latest = data[-1] if data else {}
net_call = float(latest.get('net_call_premium', 0))
net_put = float(latest.get('net_put_premium', 0))
sentiment = "BULLISH" if net_call > net_put else "BEARISH"
print(f"Market Tide: {sentiment} | Calls: ${net_call:,.0f} | Puts: ${net_put:,.0f}")
User prompt: "Show me the gamma exposure for RIVN by strike."
# unusual_whales_gex.py — Fetch spot gamma exposure by strike
import httpx
url = "https://api.unusualwhales.com/api/stock/RIVN/spot-exposures/strike"
headers = {"Authorization": "Bearer YOUR_TOKEN"}
response = httpx.get(url, headers=headers)
data = response.json().get("data", [])
for level in sorted(data, key=lambda x: abs(float(x.get('call_gamma_oi', 0))), reverse=True)[:10]:
print(f"Strike ${level['strike']} | Call GEX: {level.get('call_gamma_oi')} | Put GEX: {level.get('put_gamma_oi')}")
User prompt: "Show me recent congressional stock trades."
# unusual_whales_congress.py — Fetch politician trading disclosures
import httpx
url = "https://api.unusualwhales.com/api/congress/recent-trades"
headers = {"Authorization": "Bearer YOUR_TOKEN"}
response = httpx.get(url, headers=headers)
trades = response.json().get("data", [])
for trade in trades[:20]:
print(f"{trade.get('politician')} | {trade.get('ticker')} | {trade.get('type')} | {trade.get('amount')}")
size_greater_oi=True to filter for opening positions (new money entering)is_otm=True to filter for out-of-the-money options (higher leverage bets)min_premium is in dollars — use 50000 for $50K, 500000 for $500Kinterval_5m=False gives full-day aggregated viewX-RateLimit-Remainingstripe projects
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