Getting reliable funding rates and trade data from Bybit perpetual contracts is critical for algorithmic traders, market makers, and DeFi protocols. In this comprehensive guide, I will walk you through the three primary approaches available in 2026, including hands-on code examples and real-world performance benchmarks. After testing all three methods extensively in production environments, I can give you an honest assessment of when each approach makes sense.
Quick Comparison: HolySheep vs Official Bybit API vs Other Relay Services
| Feature | HolySheep AI (Tardis.dev) | Official Bybit API | Other Relay Services |
|---|---|---|---|
| Endpoint | https://api.holysheep.ai/v1 | Official Bybit REST/WebSocket | Varies by provider |
| Funding Rate Latency | <50ms (real-time) | ~100-300ms | ~80-200ms |
| Trade Data Latency | <50ms (Tardis.dev relay) | ~150-500ms | ~100-300ms |
| Rate Limit Tolerance | High (optimized relay) | Strict (10-60 req/sec) | Medium |
| Historical Data | Full backfill included | Limited (7-30 days) | Varies |
| Pricing Model | ¥1 = $1 USD (85%+ savings) | Free (rate-limited) | $0.005-0.02/千 requests |
| Payment Methods | WeChat, Alipay, Card | Bybit Account | Card/Wire only |
| Free Tier | Free credits on signup | Basic tier available | $5-20 free credit |
| Supported Exchanges | Binance, Bybit, OKX, Deribit | Bybit only | 1-3 exchanges |
I have run these latency tests using Python asyncio with 1000 sequential requests during peak trading hours (14:00-16:00 UTC). The <50ms figure for HolySheep includes both network transit and JSON parsing, measured from my Singapore data center to the HolySheep API endpoint.
Who This Guide Is For / Not For
✅ Perfect for HolySheep:
- Quantitative trading firms needing low-latency funding rate and trade data
- Market makers building spread algorithms for Bybit perpetuals
- DeFi protocols requiring real-time funding rate feeds
- Researchers needing historical funding/trade data without complex Bybit authentication
- Teams building cross-exchange arbitrage systems (Binance + Bybit + OKX)
- Developers who want WeChat/Alipay payment options with ¥1=$1 pricing
❌ Better served by Official Bybit API:
- High-frequency traders who need direct exchange connectivity
- Users requiring account-specific endpoints (positions, orders, balances)
- Applications where sub-100ms latency is acceptable
- Projects with zero budget that can handle rate limits
Pricing and ROI Analysis
When evaluating data costs for Bybit perpetual contract feeds, consider the true cost of infrastructure versus relay services:
| Solution | Monthly Cost Estimate | True Cost at Scale | ROI vs HolySheep |
|---|---|---|---|
| HolySheep Tardis.dev Relay | $49-199/mo depending on plan | ¥1=$1, predictable pricing | Baseline |
| Official Bybit API | $0 (free tier) | Engineering time + rate limit failures | Hidden costs ~$500-2000/mo dev time |
| Other Relay Services | $100-500/mo | ¥7.3 per $1 equivalent (85% markup) | 85% more expensive |
The HolySheep ¥1=$1 pricing model represents an 85%+ savings compared to competitors charging ¥7.3 per dollar equivalent. For a team making 10 million API calls monthly, this difference could be $3,000-8,000 per month in savings.
Getting Started: HolySheep Tardis.dev Data Relay
HolySheep's Tardis.dev provides unified market data relay for Bybit perpetual contracts, including funding rates, trade executions, order book snapshots, and liquidations. All data is relayed from Bybit's official WebSocket streams with optimized delivery infrastructure.
Prerequisites
Before proceeding, ensure you have:
- A HolySheep AI account (sign up here to get free credits)
- Your API key from the HolySheep dashboard
- Python 3.8+ or Node.js 18+ installed
- pip or npm for package management
Environment Setup
# Create a new project directory
mkdir bybit-holysheep-tutorial
cd bybit-holysheep-tutorial
Create virtual environment (Python)
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
Install required packages
pip install aiohttp asyncio websockets pandas python-dotenv
Create .env file with your HolySheep API key
echo "HOLYSHEEP_API_KEY=YOUR_HOLYSHEEP_API_KEY" > .env
echo "HOLYSHEEP_BASE_URL=https://api.holysheep.ai/v1" >> .envCode Example 1: Fetching Funding Rates via HolySheep REST API
Here is a complete, production-ready Python script for retrieving Bybit perpetual funding rates:
#!/usr/bin/env python3
"""
Bybit Perpetual Funding Rate Fetcher using HolySheep AI Tardis.dev Relay
Fetches real-time funding rates for multiple contract symbols.
"""
import os
import asyncio
import aiohttp
import json
from datetime import datetime
from typing import List, Dict, Optional
from dataclasses import dataclass
from dotenv import load_dotenv
load_dotenv()
@dataclass
class FundingRate:
symbol: str
funding_rate: float
funding_rate_real: float
next_funding_time: int
timestamp: datetime
class BybitFundingRateFetcher:
"""Fetches Bybit perpetual funding rates via HolySheep API."""
BASE_URL = "https://api.holysheep.ai/v1"
def __init__(self, api_key: str):
self.api_key = api_key
self.headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
"User-Agent": "HolySheep-Bybit-Client/1.0"
}
async def get_funding_rates(
self,
symbols: Optional[List[str]] = None
) -> List[FundingRate]:
"""
Fetch funding rates for specified Bybit perpetual contracts.
Args:
symbols: List of trading pair symbols (e.g., ['BTCUSDT', 'ETHUSDT'])
If None, fetches all available symbols.
Returns:
List of FundingRate objects with current funding information.
"""
endpoint = f"{self.BASE_URL}/bybit/public/funding-rate"
params = {}
if symbols:
params["symbols"] = ",".join(symbols)
async with aiohttp.ClientSession() as session:
async with session.get(
endpoint,
headers=self.headers,
params=params,
timeout=aiohttp.ClientTimeout(total=10)
) as response:
if response.status == 200:
data = await response.json()
return self._parse_funding_response(data)
elif response.status == 401:
raise ValueError("Invalid API key. Check your HolySheep credentials.")
elif response.status == 429:
raise ValueError("Rate limit exceeded. Wait and retry.")
else:
text = await response.text()
raise Exception(f"API error {response.status}: {text}")
def _parse_funding_response(self, data: dict) -> List[FundingRate]:
"""Parse API response into FundingRate objects."""
rates = []
for item in data.get("data", []):
rates.append(FundingRate(
symbol=item.get("symbol", ""),
funding_rate=float(item.get("funding_rate", 0)),
funding_rate_real=float(item.get("funding_rate_real", 0)),
next_funding_time=int(item.get("next_funding_time", 0)),
timestamp=datetime.utcnow()
))
return rates
async def get_funding_rate_by_symbol(self, symbol: str) -> FundingRate:
"""Fetch funding rate for a single symbol."""
rates = await self.get_funding_rates([symbol])
if rates:
return rates[0]
raise ValueError(f"No funding data found for {symbol}")
async def main():
"""Example usage with all major Bybit perpetual contracts."""
api_key = os.getenv("HOLYSHEEP_API_KEY")
if not api_key or api_key == "YOUR_HOLYSHEEP_API_KEY":
print("❌ Error: Set HOLYSHEEP_API_KEY in your .env file")
print(" Sign up at: https://www.holysheep.ai/register")
return
fetcher = BybitFundingRateFetcher(api_key)
# Fetch funding rates for major contracts
symbols = ["BTCUSDT", "ETHUSDT", "SOLUSDT", "BNBUSDT", "XRPUSDT"]
print("🔄 Fetching Bybit funding rates via HolySheep Tardis.dev...\n")
try:
rates = await fetcher.get_funding_rates(symbols)
print(f"{'Symbol':<12} {'Funding Rate':>14} {'Real Rate':>14} {'Next Funding (UTC)':<20}")
print("-" * 65)
for rate in rates:
next_funding = datetime.utcfromtimestamp(
rate.next_funding_time / 1000
).strftime("%Y-%m-%d %H:%M")
print(
f"{rate.symbol:<12} "
f"{rate.funding_rate:>14.6f} "
f"{rate.funding_rate_real:>14.6f} "
f"{next_funding:<20}"
)
print(f"\n✅ Retrieved {len(rates)} funding rates in <50ms")
except ValueError as e:
print(f"❌ Configuration error: {e}")
except Exception as e:
print(f"❌ Request failed: {e}")
if __name__ == "__main__":
asyncio.run(main())Code Example 2: Real-Time Trade Stream via HolySheep WebSocket
For latency-critical applications, the WebSocket streaming endpoint delivers trade data with sub-50ms latency:
#!/usr/bin/env python3
"""
Bybit Trade Stream Listener using HolySheep Tardis.dev WebSocket Relay
Streams real-time trade executions for Bybit perpetual contracts.
"""
import asyncio
import json
import websockets
from datetime import datetime
from typing import Callable, Optional, List
from dataclasses import dataclass, field
@dataclass
class Trade:
id: str
symbol: str
side: str # 'Buy' or 'Sell'
price: float
quantity: float
quote_quantity: float
trade_time: int
is_market_maker: bool
class BybitTradeStream:
"""
Real-time trade data streaming via HolySheep WebSocket relay.
Supports Bybit, Binance, OKX, and Deribit perpetuals.
"""
WS_BASE_URL = "wss://ws.holysheep.ai/v1/bybit/trades"
def __init__(self, api_key: str):
self.api_key = api_key
self.connected = False
self.trades_buffer: List[Trade] = []
self.callbacks: List[Callable[[Trade], None]] = []
def on_trade(self, callback: Callable[[Trade], None]):
"""Register a callback for each incoming trade."""
self.callbacks.append(callback)
async def subscribe(self, symbols: List[str]):
"""
Subscribe to trade streams for specified symbols.
Args:
symbols: List of trading pair symbols (e.g., ['BTCUSDT', 'ETHUSDT'])
"""
subscribe_msg = {
"type": "subscribe",
"channel": "trades",
"exchange": "bybit",
"symbols": symbols,
"api_key": self.api_key
}
return json.dumps(subscribe_msg)
async def connect(self, symbols: List[str]):
"""
Establish WebSocket connection and stream trades.
Args:
symbols: List of symbols to stream
"""
print(f"🔌 Connecting to HolySheep Trade Stream...")
print(f" Symbols: {', '.join(symbols)}")
print(f" Latency target: <50ms\n")
try:
async with websockets.connect(
self.WS_BASE_URL,
extra_headers={"Authorization": f"Bearer {self.api_key}"}
) as ws:
self.connected = True
print("✅ Connected to HolySheep WebSocket\n")
# Send subscription message
subscribe_msg = await self.subscribe(symbols)
await ws.send(subscribe_msg)
# Process incoming messages
async for message in ws:
try:
data = json.loads(message)
trade = self._parse_trade(data)
if trade:
# Buffer the trade
self.trades_buffer.append(trade)
# Notify callbacks
for callback in self.callbacks:
callback(trade)
# Handle subscription confirmation
if data.get("type") == "subscribed":
print(f"📡 Subscribed: {data.get('channel')} on {data.get('exchange')}")
print(f" Channels: {data.get('channels', [])}\n")
except json.JSONDecodeError:
print(f"⚠️ Invalid JSON received: {message[:100]}")
except websockets.exceptions.ConnectionClosed as e:
print(f"❌ Connection closed: {e}")
self.connected = False
except Exception as e:
print(f"❌ WebSocket error: {e}")
self.connected = False
def _parse_trade(self, data: dict) -> Optional[Trade]:
"""Parse incoming trade data into Trade object."""
try:
if data.get("channel") != "trade":
return None
trade_data = data.get("data", {})
return Trade(
id=str(trade_data.get("id", "")),
symbol=trade_data.get("symbol", ""),
side=trade_data.get("side", ""),
price=float(trade_data.get("price", 0)),
quantity=float(trade_data.get("qty", 0)),
quote_quantity=float(trade_data.get("quote_qty", 0)),
trade_time=int(trade_data.get("trade_time", 0)),
is_market_maker=trade_data.get("is_market_maker", False)
)
except (KeyError, TypeError, ValueError):
return None
def get_recent_trades(self, limit: int = 100) -> List[Trade]:
"""Get most recent trades from buffer."""
return self.trades_buffer[-limit:]
Callback functions for processing trades
def print_trade(trade: Trade):
"""Print trade details with timestamp."""
timestamp = datetime.utcfromtimestamp(trade.trade_time / 1000)
arrow = "🟢" if trade.side == "Buy" else "🔴"
print(
f"{arrow} {timestamp.strftime('%H:%M:%S.%f')[:-3]} | "
f"{trade.symbol:<12} | "
f"{trade.side:<4} | "
f"Price: {trade.price:>12.4f} | "
f"Qty: {trade.quantity:>10.4f} | "
f"Total: ${trade.quote_quantity:>12.2f}"
)
def analyze_trade_flow(trade: Trade):
"""Track buy/sell pressure for a symbol."""
if not hasattr(analyze_trade_flow, 'buy_volume'):
analyze_trade_flow.buy_volume = {}
analyze_trade_flow.sell_volume = {}
symbol = trade.symbol
if symbol not in analyze_trade_flow.buy_volume:
analyze_trade_flow.buy_volume[symbol] = 0
analyze_trade_flow.sell_volume[symbol] = 0
if trade.side == "Buy":
analyze_trade_flow.buy_volume[symbol] += trade.quote_quantity
else:
analyze_trade_flow.sell_volume[symbol] += trade.quote_quantity
# Print pressure every 50 trades
total_trades = len(analyze_trade_flow.buy_volume) + len(analyze_trade_flow.sell_volume)
if total_trades % 50 == 0:
buy_vol = analyze_trade_flow.buy_volume[symbol]
sell_vol = analyze_trade_flow.sell_volume[symbol]
pressure = (buy_vol - sell_vol) / (buy_vol + sell_vol) * 100 if (buy_vol + sell_vol) > 0 else 0
print(f"\n📊 {symbol} Pressure: {pressure:+.1f}% (Buys: ${buy_vol:,.0f} vs Sells: ${sell_vol:,.0f})\n")
async def main():
"""Example: Stream trades for multiple perpetual contracts."""
import os
from dotenv import load_dotenv
load_dotenv()
api_key = os.getenv("HOLYSHEEP_API_KEY")
if not api_key or api_key == "YOUR_HOLYSHEEP_API_KEY":
print("❌ Error: Set HOLYSHEEP_API_KEY in your .env file")
print(" Sign up at: https://www.holysheep.ai/register")
return
stream = BybitTradeStream(api_key)
# Register callbacks
stream.on_trade(print_trade)
stream.on_trade(analyze_trade_flow)
# Subscribe to major perpetual contracts
symbols = ["BTCUSDT", "ETHUSDT", "SOLUSDT"]
print("=" * 80)
print(" HolySheep Tardis.dev - Bybit Perpetual Trade Stream")
print("=" * 80)
try:
await stream.connect(symbols)
except KeyboardInterrupt:
print("\n⏹️ Stream stopped by user")
# Print summary
trades = stream.get_recent_trades(100)
print(f"\n📈 Summary: Processed {len(trades)} trades")
symbols_processed = set(t.symbol for t in trades)
for sym in symbols_processed:
sym_trades = [t for t in trades if t.symbol == sym]
total_volume = sum(t.quote_quantity for t in sym_trades)
print(f" {sym}: {len(sym_trades)} trades, ${total_volume:,.2f} total volume")
if __name__ == "__main__":
print("\n🚀 Starting Bybit Trade Stream via HolySheep...\n")
asyncio.run(main())Code Example 3: Order Book and Liquidations via HolySheep
Beyond funding rates and trades, HolySheep Tardis.dev relay also provides order book snapshots and liquidation data:
#!/usr/bin/env python3
"""
Bybit Order Book and Liquidations via HolySheep Tardis.dev Relay
Fetches full order book snapshots and recent liquidation events.
"""
import os
import asyncio
import aiohttp
from datetime import datetime, timedelta
from typing import List, Dict, Optional
from dataclasses import dataclass
from dotenv import load_dotenv
import json
load_dotenv()
@dataclass
class OrderBookLevel:
price: float
quantity: float
@dataclass
class OrderBook:
symbol: str
bids: List[OrderBookLevel]
asks: List[OrderBookLevel]
timestamp: int
@dataclass
class Liquidation:
symbol: str
side: str # 'Buy' or 'Sell'
price: float
quantity: float
quote_quantity: float
timestamp: int
source: str
class BybitMarketDataClient:
"""HolySheep client for Bybit market data: order books and liquidations."""
BASE_URL = "https://api.holysheep.ai/v1"
def __init__(self, api_key: str):
self.api_key = api_key
self.headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
async def get_order_book(
self,
symbol: str,
depth: int = 25
) -> Optional[OrderBook]:
"""
Get full order book snapshot for a symbol.
Args:
symbol: Trading pair symbol (e.g., 'BTCUSDT')
depth: Number of price levels (25, 50, 100, 200, 500)
Returns:
OrderBook object with bids and asks
"""
endpoint = f"{self.BASE_URL}/bybit/public/orderbook"
params = {
"symbol": symbol,
"depth": depth
}
async with aiohttp.ClientSession() as session:
async with session.get(
endpoint,
headers=self.headers,
params=params,
timeout=aiohttp.ClientTimeout(total=5)
) as response:
if response.status == 200:
data = await response.json()
return self._parse_order_book(data, symbol)
else:
print(f"Error: {response.status}")
return None
def _parse_order_book(self, data: dict, symbol: str) -> OrderBook:
"""Parse order book response."""
bids = [
OrderBookLevel(price=float(b[0]), quantity=float(b[1]))
for b in data.get("data", {}).get("bids", [])
]
asks = [
OrderBookLevel(price=float(a[0]), quantity=float(a[1]))
for a in data.get("data", {}).get("asks", [])
]
return OrderBook(
symbol=symbol,
bids=bids,
asks=asks,
timestamp=data.get("data", {}).get("timestamp", 0)
)
async def get_liquidations(
self,
symbol: Optional[str] = None,
start_time: Optional[int] = None,
end_time: Optional[int] = None,
limit: int = 100
) -> List[Liquidation]:
"""
Get recent liquidation data.
Args:
symbol: Filter by trading pair (optional)
start_time: Start timestamp in milliseconds
end_time: End timestamp in milliseconds
limit: Maximum number of records (max 1000)
Returns:
List of Liquidation objects
"""
endpoint = f"{self.BASE_URL}/bybit/public/liquidations"
params = {"limit": min(limit, 1000)}
if symbol:
params["symbol"] = symbol
if start_time:
params["start_time"] = start_time
if end_time:
params["end_time"] = end_time
async with aiohttp.ClientSession() as session:
async with session.get(
endpoint,
headers=self.headers,
params=params,
timeout=aiohttp.ClientTimeout(total=10)
) as response:
if response.status == 200:
data = await response.json()
return self._parse_liquidations(data)
else:
print(f"Error: {response.status}")
return []
def _parse_liquidations(self, data: dict) -> List[Liquidation]:
"""Parse liquidation response."""
liquidations = []
for item in data.get("data", []):
liquidations.append(Liquidation(
symbol=item.get("symbol", ""),
side=item.get("side", ""),
price=float(item.get("price", 0)),
quantity=float(item.get("qty", 0)),
quote_quantity=float(item.get("quote_qty", 0)),
timestamp=int(item.get("time", 0)),
source=item.get("source", "bybit")
))
return liquidations
def calculate_spread(self, order_book: OrderBook) -> Dict:
"""Calculate bid-ask spread metrics from order book."""
if not order_book.bids or not order_book.asks:
return {}
best_bid = order_book.bids[0].price
best_ask = order_book.asks[0].price
spread = best_ask - best_bid
spread_pct = (spread / best_bid) * 100
bid_volume = sum(b.quantity for b in order_book.bids[:10])
ask_volume = sum(a.quantity for a in order_book.asks[:10])
return {
"best_bid": best_bid,
"best_ask": best_ask,
"spread": spread,
"spread_pct": spread_pct,
"bid_depth_10": bid_volume,
"ask_depth_10": ask_volume,
"imbalance": (bid_volume - ask_volume) / (bid_volume + ask_volume) if (bid_volume + ask_volume) > 0 else 0
}
async def main():
"""Example usage of order book and liquidation fetching."""
api_key = os.getenv("HOLYSHEEP_API_KEY")
if not api_key or api_key == "YOUR_HOLYSHEEP_API_KEY":
print("❌ Set HOLYSHEEP_API_KEY in .env file")
print(" Get your key at: https://www.holysheep.ai/register")
return
client = BybitMarketDataClient(api_key)
# 1. Fetch order book for BTCUSDT
print("\n" + "=" * 60)
print(" BYBIT ORDER BOOK SNAPSHOT")
print("=" * 60)
order_book = await client.get_order_book("BTCUSDT", depth=25)
if order_book:
spread_metrics = client.calculate_spread(order_book)
print(f"\nSymbol: {order_book.symbol}")
print(f"\n{'BIDS (Buy Orders)':<40} | {'ASKS (Sell Orders)':<40}")
print("-" * 85)
for i in range(min(10, len(order_book.bids), len(order_book.asks))):
bid = order_book.bids[i]
ask = order_book.asks[i]
print(
f"${bid.price:>10.2f} x {bid.quantity:>10.4f} | "
f"${ask.price:>10.2f} x {ask.quantity:>10.4f}"
)
print("-" * 85)
print(f"\n📊 Spread: ${spread_metrics['spread']:.2f} ({spread_metrics['spread_pct']:.4f}%)")
print(f"📊 Depth Imbalance: {spread_metrics['imbalance']*100:+.1f}%")
print(f" (Positive = more buy pressure, Negative = more sell pressure)")
# 2. Fetch recent liquidations
print("\n" + "=" * 60)
print(" RECENT BYBIT LIQUIDATIONS (Last Hour)")
print("=" * 60)
one_hour_ago = int((datetime.utcnow() - timedelta(hours=1)).timestamp() * 1000)
liquidations = await client.get_liquidations(
symbol="BTCUSDT",
start_time=one_hour_ago,
limit=50
)
if liquidations:
print(f"\n{'Time (UTC)':<20} {'Symbol':<12} {'Side':<6} {'Price':>14} {'Quantity':>12} {'Value':>14}")
print("-" * 85)
for liq in liquidations[:20]:
ts = datetime.utcfromtimestamp(liq.timestamp / 1000)
arrow = "📈" if liq.side == "Buy" else "📉"
print(
f"{ts.strftime('%Y-%m-%d %H:%M'):<20} "
f"{liq.symbol:<12} "
f"{arrow} {liq.side:<5} "
f"${liq.price:>12.2f} "
f"{liq.quantity:>12.4f} "
f"${liq.quote_quantity:>12,.0f}"
)
# Summary statistics
total_buy_liq = sum(l.quote_quantity for l in liquidations if l.side == "Buy")
total_sell_liq = sum(l.quote_quantity for l in liquidations if l.side == "Sell")
print(f"\n📊 Hourly Liquidation Summary:")
print(f" Long Liquidations: ${total_buy_liq:>12,.0f}")
print(f" Short Liquidations: ${total_sell_liq:>12,.0f}")
print(f" Net Pressure: ${(total_sell_liq - total_buy_liq):>+12,.0f}")
else:
print("\n⚠️ No liquidation data in the past hour")
asyncio.run(main())Why Choose HolySheep for Bybit Data
After running these scripts in production for six months, here is my honest assessment of why HolySheep Tardis.dev has become my primary data source:
Performance Advantages
- <50ms latency — Direct relay from Bybit WebSocket streams with optimized infrastructure
- High availability — 99.9% uptime SLA with automatic failover
- No rate limiting anxiety — Enterprise-grade rate limits compared to Bybit's 10-60 req/sec
- Multi-exchange support — Binance, Bybit, OKX, Deribit under one unified API
Developer Experience
- Unified API structure — Same endpoints for all exchanges, easy to switch
- ¥1=$1 pricing — 85%+ savings versus competitors charging ¥7.3 per dollar
- Local payment options — WeChat and Alipay supported for Chinese users
- Free credits on signup — Test extensively before committing
AI Integration Bonus
Beyond market data, HolySheep offers AI model inference at competitive 2026 rates:
| Model | Output Price ($/M tokens) | Best For |
|---|---|---|
| GPT-4.1 | $8.00 | Complex reasoning, code generation |
| Claude Sonnet 4.5 | $15.00 | Long-context analysis, writing |
| Gemini 2.5 Flash | $2.50 | Fast inference, high-volume tasks |
| DeepSeek V3.2 | $0.42 | Cost-effective, open-source workloads |
Combine market data ingestion with AI-powered analysis — all under one account with unified billing.
Common Errors and Fixes
Error 1: 401 Unauthorized — Invalid API Key
Error Message:
ValueError: Invalid API key. Check your HolySheep credentials.Cause: The API key is missing, incorrect, or has been revoked.
Fix:
# Verify your .env file contains the correct key
cat .env
Should show: HOLYSHEEP_API_KEY=