Returns a full decision journal entry — directional_bias, calibrated_confidence,
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. Typical agent tasks: log a BTC or ETH market call for later audit, get a calibrated confidence score instead of raw output, or verify signal agreement before acting. Chain with /api/kronos/audit to verify the outcome.
Answeringour last check, 2026-09-25
1 of 1checks answered this week
588 msmedian answer time
$0.15listed price per call
$0.15price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
GET https://kronos.forgemesh.io/api/kronos/decision
| Category | Code and developer |
|---|---|
| Provider host | kronos.forgemesh.io |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 0 from 0 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-25 | valid payment request | 402 | $0.15 | 588 ms |
Example input (from the provider)
{
"method": "GET",
"queryParams": {
"symbol": "BTC"
},
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"properties": {
"symbol": {
"type": "string"
}
},
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"agreement_score": {
"type": "number"
},
"anomaly_level": {
"type": "string"
},
"anomaly_review_label": {
"type": "string"
},
"anomaly_score": {
"type": "number"
},
"calibrated_confidence": {
"type": "number"
},
"confidence": {
"type": "number"
},
"decision_id": {
"type": "string"
},
"directional_bias": {
"type": "string"
},
"legacy_fields": {
"type": "object"
},
"market_intelligence_only": {
"type": "boolean"
},
"next_step": {
"type": "object"
},
"risk_disclosure": {
"type": "object"
},
"symbol": {
"type": "string"
},
"verified": {
"type": "boolean"
},
"why_not_high": {
"type": "array"
}
},
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}