Kronos by ForgeMesh — Crypto Market Intelligence Decision is a paid API for AI agents from kronos.forgemesh.io, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-14).
Returns calibrated directional bias, anomaly scores, confidence levels, and risk context for a crypto trading pair via x402 micropayment
Paid crypto market-intelligence API for autonomous agents. Calibrated ranges, signal context, risk state, decision journals, and outcome audits via x402 micropayments on Base.
Returns a JSON object containing the trading pair symbol, directional bias (e.g. upward/downward), raw confidence score (0–1), calibrated confidence percentage, anomaly score, anomaly level label, agreement score across signals, a unique decision ID for audit tracking, a next-step recommendation with cost and timing, a risk disclosure block, and flags indicating this is market intelligence only and not financial advice.
GEThttps://kronos.forgemesh.io/api/kronos/decisionChoose this endpoint when an autonomous agent needs calibrated, historically-anchored crypto market signals with anomaly detection and auditability — especially when the agent must justify or log its decisions via a decision ID and later call /kronos/audit to verify outcomes. Prefer this over raw price feeds when confidence calibration and risk disclosure are required for compliance or accountability in automated workflows.
| 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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