APEX Runner: Apex Alpha Score 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 composite alpha score signal for crypto trading, aggregating multiple market factors into a single actionable score
APEX Runner: Apex Alpha Score Signal
A composite alpha score signal representing aggregated market alpha for a crypto asset or the market overall, likely including a numeric score, signal direction (bullish/bearish), and confidence or strength indicator useful for trading decisions.
GEThttps://apexrunner.ai/signals/apex-alpha-scoreChoose this endpoint when you need a single composite alpha score that aggregates multiple market factors into one actionable number, rather than individual signals like fear/greed or liquidation pressure. Best used before placing trades when you want a holistic market alpha assessment from APEX Runner's proprietary model.
| Field | Type | Description |
|---|---|---|
| properties | string |
{
"type": "json",
"example": {
"timestamp": "2026-06-14T12:00:00Z",
"components": {
"fear_greed": {
"score": 65,
"value": 42,
"weight": 0.15
},
"whale_bias": {
"bias": "BULLISH",
"score": 70,
"weight": 0.15
},
"grid_health": {
"score": 91,
"weight": 0.2
},
"funding_pressure": {
"score": 75,
"status": "NEUTRAL",
"weight": 0.1
},
"liquidation_risk": {
"level": "LOW",
"score": 82,
"weight": 0.1
},
"regime_confluence": {
"score": 85,
"weight": 0.25
},
"evolution_recommendation": {
"score": 85,
"action": "DEPLOY",
"weight": 0.05
}
},
"confidence": "HIGH",
"alpha_score": 73,
"recommendation": "DEPLOY"
},
"timestamp": "ISO8601 UTC",
"components": "object — 7 sub-signals each with score 0-100, weight, and key fields",
"confidence": "string — LOW / MEDIUM / HIGH based on data freshness and component agreement",
"alpha_score": "int 0-100 — composite deployment readiness score",
"data_sources": "array — sources used",
"interpretation": "string — plain-English summary of conditions",
"market_context": "string — live market narrative",
"recommendation": "string — DEPLOY (≥75) / WAIT (≥55) / REDUCE (≥35) / AVOID (<35)",
"valid_for_seconds": "int — cache lifetime (300s)"
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