Forgemesh Kronos Decision Journal Entry is a paid API for AI agents from crypto.forgemesh.io, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-13).
Returns a full auditable decision journal entry for a crypto symbol, combining directional bias, calibrated confidence, anomaly score, and agreement score into one record with a unique decision_id.
Returns a full decision journal entry — directional_bias, calibrated_confidence, anomaly_score, and agreement_score — plus a decision_id, combining signal, anomaly, and calibration checks into one auditable record for agent decision pipelines.
Returns a JSON object containing: decision_id (unique auditable record identifier), directional_bias (bullish/bearish/neutral), calibrated_confidence (0-1 probability), anomaly_score (0-1), anomaly_level (label), agreement_score (0-1), anomaly_review_label, next_step guidance object, risk_disclosure object, why_not_high array explaining confidence suppression, verified boolean, and market_intelligence_only flag.
GEThttps://crypto.forgemesh.io/api/kronos/decisionUse this endpoint when you need a single comprehensive, auditable decision record that combines directional signal, anomaly detection, and calibration in one call — especially when you need a decision_id to later verify outcomes via the accountability endpoint. Prefer over individual signal or anomaly endpoints when building agent decision pipelines that require full traceability.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"symbol": "BTC/USD",
"verified": true,
"next_step": {
"cost": "$0.07",
"review_step": "Call /kronos/audit after 1h to verify"
},
"confidence": 0.514,
"decision_id": "uuid",
"why_not_high": [
"Directional confidence is intentionally capped by observed historical accuracy, not boosted by signal magnitude."
],
"anomaly_level": "normal",
"anomaly_score": 14,
"agreement_score": 93,
"risk_disclosure": {
"no_trade_instruction": true,
"not_financial_advice": true,
"market_intelligence_only": true
},
"directional_bias": "upward",
"anomaly_review_label": "ignore",
"calibrated_confidence": 51,
"market_intelligence_only": true
}
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