{"uid":"cap_fIVm-cvP3iaJy2vQIZHlK","slug":"real-world-service-reservation-confirmation-and-no-show-risk-decision-813cc1fd","name":"Real-World Service Reservation Confirmation and No-Show Risk Decision Procedure","description":"Paid agent-facing brief on real-world service reservation confirmation and no-show risk decision procedure for agents paying via x402 · Build a decision procedure or schema for: real-world service reservation confirmation and no-show risk decision procedure for agents paying via x402. Include inputs, thresholds, failure modes. Falsifier: If free docs already solve the decision, paid product fails.. Blunt decision procedure, not marketing.","url":"https://k2so.wrong.systems/api/services/real-world-service-reservation-confirmation-and?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","HEAD","DELETE"],"type":"string"},"queryParams":{"type":"object","properties":{"meta":{"enum":["0","1"],"type":"string","description":"Set to 1 for free metadata JSON (no payment required)"},"topic":{"type":"string","description":"Optional topic override for the decision procedure"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","title":"real-world service reservation confirmation and no-show risk decision paid response","$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":"real-world-service-reservation-confirmation-and","procedure":"same as brief","generatedAt":"2026-01-01T00:00:00.000Z","generationSource":"deterministic"},"service":"real-world-service-reservation-confirmation-and","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_1MK2lCbS-MfINLkWXHk3M","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 paid AI-generated decision procedure brief on how an agent should handle real-world service reservation confirmations and evaluate no-show risk.","exampleAgentPrompt":"Give me the decision procedure for how an autonomous agent should handle real-world service reservation confirmations and assess no-show risk — I need the full agent-facing brief.","exampleUseCases":[{"title":"Restaurant booking no-show mitigation","prompt":"My agent needs to know how to evaluate no-show risk before confirming a restaurant reservation — can you get me the decision procedure brief for real-world service reservation confirmation and no-show risk?"},{"title":"Autonomous concierge agent reservation logic","prompt":"I'm building a concierge agent that confirms hotel and spa bookings on behalf of users. Get me the agent decision procedure for handling reservation confirmation and no-show risk so I can wire it into the agent's logic."},{"title":"Agentic travel assistant risk assessment","prompt":"For my travel assistant agent, I need a decision procedure covering how to confirm real-world service reservations and handle no-show scenarios — fetch the paid brief for that topic."}],"resultDescription":"A JSON object containing a plain-prose decision procedure (120+ words) tailored for AI agents on how to handle real-world service reservation confirmations and no-show risk, including the topic, generating model, generation source (llm/reasoning/deterministic), and ISO-8601 timestamp. Payment metadata (payer wallet, transaction ID) is also returned.","failureModes":["HTTP 402 returned on first call — agent must settle exact USDC amount and retry with PAYMENT-SIGNATURE header","Invalid or missing 'input' object causes schema validation failure","Unsupported HTTP method (not GET/HEAD/DELETE) results in rejection","LLM generation failure may fall back to deterministic source or return ok:false","Network timeout if Base USDC settlement is delayed"],"whenToPreferThis":"Choose this endpoint when an autonomous agent needs a ready-made, paid decision procedure brief on reservation confirmation and no-show risk — specifically when you want an LLM-generated, agent-readable prose guide rather than writing the logic yourself. Prefer this over generic LLM prompting when you want a structured, versioned, on-chain-settled artifact that can be audited and replayed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T07:04:53.699Z","isFirstParty":false,"canonicalSlug":"real-world-service-reservation-confirmation-and-no-show-risk-decision-813cc1fd"}