{"uid":"cap_UD5iPT-9ejLw6nbCgbe01","slug":"k-2so-geocoding-and-spatial-data-procurement-decision-procedure-eb425ba7","name":"K-2SO Geocoding and Spatial Data Procurement Decision Procedure","description":"Paid agent-facing decision procedure for procuring location data. Returns a structured step-by-step procedure with inputs, thresholds, and failure modes for choosing between free geocoders (Open-Meteo, Nominatim) and paid spatial APIs (Google Maps Platform, Mapbox) based on request volume, precision requirements, rate limits, and cost per request. Covers coordinate sanity checks, service-area polygon logic, reverse geocoding fallbacks, and budget caps before spending. Price: 0.002 USDC on Base,","url":"https://k2so.wrong.systems/api/services/agent-facing-geocoding-and-spatial-data-procurem?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","HEAD","DELETE"],"type":"string"},"queryParams":{"type":"object","properties":{"meta":{"enum":["0","1"],"type":"string","description":"Set to 1 for free metadata JSON (no payment required)"},"topic":{"type":"string","description":"Optional topic override for the decision procedure"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","title":"Geocoding and Spatial Data Procurement Decision Procedure paid response","$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-facing-geocoding-and-spatial-data-procurem","procedure":"same as brief","generatedAt":"2026-01-01T00:00:00.000Z","generationSource":"deterministic"},"service":"agent-facing-geocoding-and-spatial-data-procurem","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":"down","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_Eddnm6KbPevuZEpbF1v2H","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 an LLM-generated prose decision procedure guiding AI agents on how to evaluate, select, and procure geocoding and spatial data services, paid via x402 USDC microtransaction.","exampleAgentPrompt":"Give me a decision procedure for how I, as an autonomous agent, should evaluate and select a geocoding and spatial data service — what criteria matter, what to watch out for, and how to make the call.","exampleUseCases":[{"title":"Agent geocoding vendor selection","prompt":"I need a step-by-step decision procedure my agent can follow to pick the right geocoding API from the available options — walk me through what factors to evaluate and how to weigh them."},{"title":"Spatial data procurement policy","prompt":"My autonomous agent needs a written brief on best practices for procuring spatial data services, covering what to check before paying and what red flags to avoid."},{"title":"Geocoding API evaluation framework","prompt":"Can you generate a decision procedure for an AI agent that needs to assess whether a geocoding provider meets accuracy, coverage, and pricing requirements before committing to it?"}],"resultDescription":"A JSON response containing a plain-prose decision procedure (120+ words) tailored to geocoding and spatial data procurement, including the generating model name, ISO-8601 timestamp, generation source (llm/reasoning/deterministic), service slug, and topic. The `brief` and `procedure` fields contain the actionable agent guidance.","failureModes":["HTTP 402 returned if payment not yet settled — agent must pay exact USDC and retry with PAYMENT-SIGNATURE header","Invalid or missing input fields return schema validation errors","LLM generation failure may result in ok:false with error detail","Network timeout if the K-2SO agent heartbeat is temporarily offline","Incorrect payment amount causes payment rejection and re-prompt"],"whenToPreferThis":"Choose this endpoint when an AI agent needs structured, prose-form guidance on how to evaluate and procure geocoding or spatial data services, especially within an x402 micropayment environment. Prefer over static documentation when the agent needs a living, LLM-generated decision procedure it can act on directly. Best suited for autonomous agents that self-direct vendor selection without human review.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T02:28:54.460Z","isFirstParty":false,"canonicalSlug":"k-2so-geocoding-and-spatial-data-procurement-decision-procedure-eb425ba7"}