Use when repeated large fills suggest directional participation or informed flow.
Coding
Live Fill Rate
Try itLive grid fill rate across all pairs — measures execution efficiency
What it does
Live grid fill rate across all pairs — measures execution efficiency
The skill document
live-fill-rate
What It Does
Live grid fill rate across all pairs — measures execution efficiency. This signal is computed in real time from APEX Runner's live autonomous trading system operating across Kraken, Coinbase Advanced Trade, and Hyperliquid — not from backtests or third-party aggregators.
When to Use
- To monitor grid execution efficiency
- To detect liquidity degradation
- When diagnosing underperforming grids
How to Use
The agent makes an x402-authenticated GET request to:
https://apexrunner.ai/signals/live-fill-rate
The x402 client handles payment authorisation automatically. No API key, no account, no subscription required — just an EVM wallet with USDC on Base mainnet.
# Example using the x402-python client
from x402.client import x402_get
response = x402_get(
url="https://apexrunner.ai/signals/live-fill-rate",
private_key=os.environ["EVM_PRIVATE_KEY"]
)
print(response.json())
Example Response
{
"fill_rate_pct": 84,
"period_hours": 24,
"pairs": {"BTC": 91, "ETH": 79, "SOL": 82, "AVAX": 84}
}
Pricing
$1.50/call — standard price
Early adopters automatically receive 30% off ($1.05/call) until 2026-09-21. Discount tiers apply automatically based on wallet call history:
- Early Adopter (0–9 calls): 30% off
- Engaged (10–49 calls): 15% off
- Loyal (50–199 calls): 15% permanent
- VIP (200+ calls): 20% permanent
Check your tier: https://apexrunner.ai/signals/my-pricing
Related Signals
APEX Runner — autonomous AI crypto trading signals. apexrunner.ai
Related skills
Active grid levels, spacing, and next buy/sell prices per pair
Live ATR-based position sizing recommendation for current volatility
Comprehensive grid health score with recommendations for optimisation
Funding rate analysis across perps with arb opportunity scoring
Identifies optimal execution windows based on volatility and liquidity