fiscal.anomaly_detected
Constanza AI detected an unusual pattern in an organization's financial data (z-score outlier, Benford violation, duplicate transaction, timing anomaly, etc.). Routed to Camino for CRM health alerts and to Colectiva so the Brain can factor fiscal anomalies into business intelligence.
Senders
constanza
Receivers
caminocolectiva
Data schema
Each field maps to a type hint. | null indicates an optional field.
json
{
"organizationId": "string",
"anomalyType": "string (amount_outlier|timing_unusual|frequency_spike|benford_violation|pattern_break|cross_platform_mismatch|ratio_anomaly|duplicate_detection|round_number_suspicious)",
"severity": "string (medium|high|critical)",
"title": "string",
"description": "string",
"score": "number (0-100 confidence)",
"affectedPeriod": "object { startDate: string (ISO), endDate: string (ISO) }",
"detectedAt": "string (ISO datetime)",
"relatedTransactions": "string[] (optional)",
"suggestedActions": "string[] (optional)"
}Example payload
The following is a synthetic payload that matches the schema. Production payloads are signed with HMAC-SHA256 and delivered to each receiver's registered webhook endpoint.
json
{
"organizationId": "example-organizationId",
"anomalyType": "amount_outlier",
"severity": "medium",
"title": "example-title",
"description": "example-description",
"score": 0,
"affectedPeriod": {},
"detectedAt": "2026-04-17T12:00:00.000Z",
"relatedTransactions": [
"example-relatedTransactions"
],
"suggestedActions": [
"example-suggestedActions"
]
}See also
Generated from ecosystem-sdk/packages/mcp-server/src/registry/events.json. Do not edit by hand.