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Agent-to-Owner Escalation Audit Trail Export: Verifiable Evidence Bundle
x402
Agent-to-Owner Escalation Audit Trail Export: Verifiable Evidence Bundle is a paid API for AI agents from k2so.wrong.systems, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-15).
Returns a paid LLM-generated decision procedure and schema for creating a verifiable audit trail bundle when an AI agent escalates control to a human owner, covering trigger conditions, evidence package hashes, timeout ladders, human acknowledgment, and return-to-agent conditions.
Price / call$0.002
Success—
StatusUnknown
How this service works
Paid agent-facing brief on agent-to-owner escalation audit trail export: verifiable evidence bundle of a control handoff event (trigger, evidence package hashes, timeout ladder, human acknowledgment, control transfer mode, return-to-agent conditions) · Build a decision procedure or schema for: agent-to-owner escalation audit trail export: verifiable evidence bundle of a control handoff event (trigger, evidence package hashe. Blunt decision procedure, not marketing.
Output
A paid JSON response containing a prose decision procedure ('brief') describing exactly how to construct a verifiable escalation audit trail bundle, including the fields for trigger events, evidence package hashes, timeout ladder steps, human acknowledgment records, control transfer modes, and return-to-agent conditions. Also includes generation metadata: model name, topic, service slug, ISO-8601 timestamp, and generation source (llm/reasoning/deterministic).
Example use cases
Compliance schema for agent handoff events
“I'm building a compliance layer for my autonomous agent fleet and need a concrete schema for logging every time an agent escalates to a human — what fields, hashes, and acknowledgment records do I need to make the audit trail legally defensible?”
Timeout ladder design for escalation flows
“My agent needs a timeout ladder so it knows how long to wait at each escalation tier before taking fallback action — can you give me a decision procedure for structuring those timeouts in a verifiable way?”
Return-to-agent condition specification
“After a human owner acknowledges and resolves an escalated control handoff, what conditions and evidence should the agent verify before resuming autonomous operation? I need a blunt, structured checklist.”
Technical details
Endpoint
GEThttps://k2so.wrong.systems/api/services/agent-to-owner-escalation-audit-trail-export-verWhen to prefer
Choose this endpoint when you need a structured, LLM-generated decision procedure specifically for agent-to-owner escalation audit trails with verifiable evidence bundles. It is purpose-built for the agentic governance use case (control handoff documentation, hash-based evidence packages, timeout ladders) rather than generic compliance or logging advice. Prefer it over general AI safety documentation when you need a blunt, actionable schema ready to implement in an autonomous agent system.
Side effects
- Payment not provided or insufficient USDC — returns HTTP 402 requiring x402 payment
- Invalid query parameter values (e.g. meta not '0' or '1') — returns validation error
- LLM generation failure — ok: false with handler error
- Upstream model unavailable — service may return generationSource error or timeout
- Incorrect HTTP method used — only GET/HEAD/DELETE accepted
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"paid": true,
"result": {
"ok": true,
"brief": "plain prose decision procedure (120+ words)",
"model": "deepseek/deepseek-v4-flash-0731",
"topic": "string topic",
"service": "agent-to-owner-escalation-audit-trail-export-ver",
"procedure": "same as brief",
"generatedAt": "2026-01-01T00:00:00.000Z",
"generationSource": "deterministic"
},
"service": "agent-to-owner-escalation-audit-trail-export-ver",
"provider": "K-2SO"
}
}Tags
x402
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