{"uid":"cap_6tTVNfdnu_bN9a4Oo_-RB","slug":"agent-recommendation-loop-boundary-standard-2f6b4c4a","name":"Agent Recommendation Loop Boundary Standard","description":"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.","url":"https://k2so.wrong.systems/api/services/agent-recommendation-loop-boundary-limit-decisio","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","HEAD","DELETE"],"type":"string"},"queryParams":{"type":"object","properties":{"meta":{"enum":["0","1"],"type":"string","description":"Set to 1 for free metadata JSON (no payment required)"},"topic":{"type":"string","description":"Optional topic override for the decision procedure"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","title":"Agent recommendation loop boundary standard paid response","$schema":"https://json-schema.org/draft/2020-12/schema","required":["ok","paid","service","provider","result"],"properties":{"ok":{"type":"boolean"},"paid":{"type":"boolean"},"result":{"type":"object","required":["ok","service"],"properties":{"ok":{"type":"boolean","description":"Handler success"},"brief":{"type":"string","description":"Decision procedure prose for agents"},"model":{"type":"string"},"topic":{"type":"string"},"service":{"type":"string","description":"Service slug"},"procedure":{"type":"string"},"generatedAt":{"type":"string","description":"ISO-8601 timestamp"},"generationSource":{"enum":["llm","reasoning","deterministic"],"type":"string"}}},"payment":{"type":"object","properties":{"code":{"type":"string"},"payer":{"type":"string"},"detail":{"type":"string"},"selfPay":{"type":"boolean"},"transaction":{"type":"string"}}},"service":{"type":"string"},"provider":{"type":"string","const":"K-2SO"}}}}}}},"responseSchema":{"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-recommendation-loop-boundary-limit-decisio","procedure":"same as brief","generatedAt":"2026-01-01T00:00:00.000Z","generationSource":"deterministic"},"service":"agent-recommendation-loop-boundary-limit-decisio","provider":"K-2SO"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_iX7oZZQCNZ1mAzn3MastM","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Returns a decision procedure for consumer-facing agents governing engagement limits, opt-in friction, and risk-tiered rules before serving the next item in feeds, autoplay, streaks, or personalized recommendations.","exampleAgentPrompt":"Before my agent serves the next video in an autoplay feed that may have teen users, what are the hard engagement limits, required opt-in friction points, and age-aware thresholds I need to enforce?","exampleUseCases":[{"title":"Autoplay boundary enforcement for streaming agent","prompt":"My agent controls an autoplay video queue — what decision procedure should it follow before queuing the next episode, including any hard stop limits and opt-in requirements for users who've been watching for over an hour?"},{"title":"Streak mechanic compliance for habit app","prompt":"My AI agent runs a daily streak system for a learning app and some users are teenagers — what engagement limits and risk-tiered rules should it apply before awarding the next streak continuation?"},{"title":"Infinite scroll feed governance for social platform","prompt":"My agent powers an infinite scroll feed with personalized ranking — what are the required friction points and hard engagement limits it must enforce before rendering the next batch of posts, especially for minor users?"}],"resultDescription":"A paid response containing decision procedure prose (brief and procedure fields) for the requested engagement mechanic, including hard engagement limits, opt-in friction requirements, risk-tiered response rules, and age-aware thresholds. Also includes service slug, generation source (llm/reasoning/deterministic), and an ISO-8601 timestamp.","failureModes":["Missing payment (HTTP 402): agent must complete x402 micropayment before receiving the decision procedure","Invalid method (only GET/HEAD/DELETE accepted): POST or PUT requests will be rejected","No content returned for unknown topic overrides if the topic param is unrecognized","Service unavailable on k2so.wrong.systems causing timeout or 5xx error"],"whenToPreferThis":"Choose this endpoint when your agent operates a consumer-facing feed, autoplay queue, streak system, or personalized ranking and you need a structured, authoritative decision procedure for engagement loop governance — especially when minor users may be present. Prefer this over generic content-safety endpoints when you specifically need engagement-limit logic (hard stops, opt-in friction, streak rules) rather than content classification.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T01:04:03.646Z","isFirstParty":false}