APEX Runner Execution Window Optimizer Signal is a paid API for AI agents from apexrunner.ai, paid per call via x402, $0.007/call, status unknown (last checked 2026-09-14).
Returns a real-time signal indicating whether current market conditions represent an optimal execution window for trading a given crypto asset, including component scores and recommended order type.
APEX Runner: Execution Window Optimizer Signal
Returns a JSON object containing: a window_score integer (0-100) rating execution conditions, a verdict string (e.g. 'EXECUTE' or 'WAIT'), a rationale explaining the signal, component sub-scores for market regime, fear/greed index, volatility (ATR%), time-of-day session, and fill velocity, a recommended_order_type, the next_optimal_window timestamp, and valid_for_seconds indicating signal freshness. Also includes APEX metadata like signal hash, evolution runs, and whether live capital is deployed.
GEThttps://apexrunner.ai/signals/execution-window-optimizerUse this endpoint when you need a real-time, multi-factor composite score for whether NOW is the right moment to execute a trade for a specific crypto asset. It is especially valuable when you need not just a market direction signal but an execution-timing signal — combining regime, sentiment, volatility, session, and fill velocity into a single actionable verdict with an explicit recommended order type.
| Field | Type | Description |
|---|---|---|
| input | object | |
| output | object |
{
"type": "json",
"reason": "string — plain-English explanation of window quality",
"example": {
"execute_now": true,
"window_label": "GOOD",
"volatility_regime": "LOW",
"current_window_score": 78
},
"execute_now": "boolean — true when score >= 60",
"window_label": "string — EXCELLENT / GOOD / FAIR / POOR based on score",
"volatility_regime": "string — LOW / NORMAL / HIGH / EXTREME based on current ATR",
"liquidity_condition": "string — DEEP / MODERATE / THIN based on order book depth",
"next_optimal_window": "string — ISO8601 UTC timestamp or 'now' if current window is optimal",
"current_window_score": "integer — execution quality score 0-100 (higher = better conditions)"
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