APEX Runner: Agent Conviction 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 real-time on-chain wallet conviction scores across crypto assets, aggregating position sizing and leverage data from analyzed wallets to surface the highest-conviction trades.
APEX Runner: Agent Conviction Score Signal
Returns a structured object containing conviction scores keyed by asset or trade, each with a direction (long/short), conviction score (integer), conviction label, average leverage, wallet count, average position percentage, and an interpretation string. Also includes a top-level market insight summary, the total number of wallets analyzed, the highest conviction trade, a timestamp, a signal hash for verification, and how many seconds the signal remains valid. Metadata includes source, version, instance, evolution runs, live trading status, and whether live capital is deployed.
GEThttps://apexrunner.ai/signals/agent-conviction-scoreChoose this endpoint when you need aggregated on-chain wallet conviction data across multiple assets in a single call, with directional signals, leverage context, and a composite conviction score. Prefer this over raw on-chain data queries when you want pre-processed, ranked signals with interpretation labels and a validity window. Use it over the Apex Alpha Score when you specifically want wallet-count-weighted conviction rather than institutional alpha signals.
| Field | Type | Description |
|---|---|---|
| properties | string |
{
"type": "json",
"example": {
"conviction_scores": {
"BTC": {
"conviction_label": "HIGH",
"conviction_score": 78
}
},
"highest_conviction_trade": "BTC_LONG"
},
"market_insight": "string — summary of strongest bet",
"conviction_scores": "object keyed by coin — direction, conviction_score (0-100), conviction_label (HIGH/MEDIUM/LOW), avg_position_pct, avg_leverage, signal, interpretation",
"highest_conviction_trade": "string — coin_direction pair with highest score"
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