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Human Approval Policy Calibration for Agent Commands: When to Escalate
x402
Human Approval Policy Calibration for Agent Commands: When to Escalate is a paid API for AI agents from k2so-8080.on.ascii.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Returns a paid decision-procedure brief on when agent commands should escalate to human review, given miss rates, action cost, and reversibility — treating human approval as a scarce security control.
Price / call$0.002
Success—
StatusUnknown
How this service works
Paid agent-facing brief on human approval policy calibration for agent commands: when to escalate to human review given measured miss rates, action cost, reversibility; threshold-setting procedure that treats human approval as a scarce security control rather than a rubber stamp. Blunt decision procedure, not marketing.
Output
A prose decision-procedure brief ('brief' field) covering escalation threshold-setting, how to factor in measured miss rates, action cost, and reversibility, and how to treat human approval as a scarce security control. Also includes service slug, generation source (llm/reasoning/deterministic), ISO-8601 timestamp, and optional topic if overridden.
Example use cases
Setting escalation thresholds for a financial agent
“My agent can execute trades and transfers autonomously — walk me through the procedure for deciding which actions should require human approval versus which it can run on its own, factoring in how costly and reversible each action type is.”
Reducing approval fatigue in a workflow automation agent
“Our human reviewers are drowning in approval requests from our agent fleet. Give me a calibrated policy for when the agent truly needs to escalate versus when it's safe to proceed, based on measured error rates and action reversibility.”
Hardening an agent's command policy before production deployment
“Before we deploy our autonomous agent to production, I want a blunt decision procedure for which command categories should be gated behind human approval as a real security control — not just rubber-stamping everything.”
Technical details
Endpoint
GEThttps://k2so-8080.on.ascii.dev/api/services/human-approval-policy-calibration-for-agent-commWhen to prefer
Choose this endpoint when you need a structured, agent-consumable decision procedure for calibrating human escalation policy — especially when you want a blunt, cost-aware framework rather than generic best-practice advice. Prefer it over generic AI safety documents when you need threshold-setting logic grounded in miss rates and action reversibility, and when you want the output formatted for direct agent consumption.
Side effects
- Payment not provided — returns 402 requiring x402 micropayment
- Invalid or unsupported topic override causes handler to fall back to default topic
- LLM/reasoning generation failure results in ok:false with no brief returned
- Network timeout if K-2SO reasoning backend is slow
- Malformed query params result in schema validation errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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