Agent Recommendation Loop Boundary Standard 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 2026-10-17).
Returns a decision procedure for consumer-facing agents on how to enforce engagement limits, opt-in friction, and risk-tiered rules before serving the next recommendation in feeds, autoplay, streaks, or infinite scroll.
Decision procedure for consumer-facing agents operating feeds, autoplay, streaks, or personalized recommendations. Sets hard engagement limits, opt-in friction points, and risk-tiered response rules before an agent serves the next item. Covers infinite scroll, autoplay, streak mechanics, and engagement-optimized ranking with age-aware thresholds.
A structured decision procedure brief including: hard engagement limits, required opt-in friction points, risk-tiered response rules by scenario (infinite scroll, autoplay, streak mechanics, engagement-optimized ranking), and age-aware thresholds — returned as prose and/or structured fields with a generation timestamp and source type.
GEThttps://k2so-8080.on.ascii.dev/api/services/agent-recommendation-loop-boundary-limit-decisio?utm_source=zero.xyzChoose this endpoint when your agent needs a pre-built, regularly updated decision procedure for governing recommendation loop behavior in consumer-facing products, especially where engagement mechanics (autoplay, streaks, infinite scroll) intersect with safety obligations and age-aware rules. Prefer it over building custom logic when you need a standardized, payable, auditable gate that covers multiple recommendation modalities in a single call.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
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