APEX Runner: Apex Alpha Score Institutional Signal is a paid API for AI agents from apexrunner.ai, paid per call via x402, $24.5/call, status unknown (last checked 2026-09-15).
Returns a composite institutional-grade alpha signal for crypto trading, combining fear/greed, whale bias, funding pressure, liquidation risk, regime confluence, and grid health metrics.
APEX Runner: Apex Alpha Score Institutional Signal
Returns a JSON object with a top-level _apex metadata block (signal classification, version, instance, verify URL, signal hash, live trading flag, evolution runs count, live capital deployed flag, trades backing signal), a timestamp, and a components breakdown including: fear_greed (score, value, weight, classification), whale_bias (bias direction, score, weight, long percentage), grid_health (exchanges, best performing pair, cycle velocity per hour, PnL withheld flag), funding_pressure (label, score, status, weight, 8h rate), liquidation_risk (level, score, weight, cascade alert boolean, cascade risk score, highest pressure coin), and regime_confluence (score, weight, confluence type, dominant regime, recommended action).
GEThttps://apexrunner.ai/signals/apex-alpha-score-institutionalChoose this endpoint over the standard Apex Alpha Score when you need the full institutional-grade signal with extended metadata including live capital deployed status, trades backing the signal count, and the complete multi-factor breakdown. Prefer over individual component signals when you need a single aggregated view across fear/greed, whale bias, funding pressure, liquidation risk, regime confluence, and grid health simultaneously for institutional decision-making.
| Field | Type | Description |
|---|---|---|
| properties | string |
{
"type": "json",
"example": {
"alpha_score": 73,
"institutional": {
"signal_strength": "STRONG",
"confidence_interval": {
"low": 0.672,
"high": 0.788
}
}
},
"alpha_score": "int 0-100 — composite deployment readiness score",
"institutional": "object — confidence_interval, historical_accuracy, signal_strength, position_sizing, data_provenance"
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