{"uid":"cap_oelGPJqveeo9f0lm56-0x","slug":"geocoding-and-spatial-data-procurement-decision-procedure-2dd039fa","name":"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-8080.on.ascii.dev/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":null,"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_iXDFSLyvEJU4hVvJ96hyK","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 structured step-by-step decision procedure for choosing between free and paid geocoding/spatial APIs based on volume, precision, rate limits, and cost constraints","exampleAgentPrompt":"My agent needs to geocode about 50,000 addresses per day with high precision — can you walk me through the decision procedure for choosing between free geocoders like Nominatim and paid ones like Google Maps or Mapbox, including the rate limit thresholds and when budget caps should kick in?","exampleUseCases":[{"title":"High-volume geocoding service selection","prompt":"I'm building an agent that needs to geocode 100,000 addresses a day — can you give me a step-by-step procedure for deciding whether to use a free geocoder or pay for Google Maps Platform, including what volume thresholds and precision requirements should tip me toward the paid option?"},{"title":"Budget-constrained location startup","prompt":"My startup has a $50/month budget for location data. Walk me through the decision procedure for picking the right geocoding API — I need to know the cost-per-request thresholds, which free options like Nominatim are viable, and what failure modes to watch for before I start spending."},{"title":"Reverse geocoding fallback strategy","prompt":"My agent does reverse geocoding and sometimes the primary service fails — can you give me the decision procedure for setting up fallback logic between free and paid spatial APIs, including coordinate sanity checks and service-area polygon rules?"}],"resultDescription":"A structured, step-by-step decision procedure in prose and/or structured format covering: inputs and thresholds for choosing free vs paid geocoders, coordinate sanity checks, service-area polygon logic, reverse geocoding fallback strategies, rate limit guidance, cost-per-request comparisons, and budget cap rules. Includes metadata fields such as topic, service slug, generation source, and ISO-8601 timestamp.","failureModes":["Payment not completed — endpoint requires 0.002 USDC via x402 before returning paid content","LLM or reasoning backend unavailable — generationSource may fail, returning an error","Invalid or unsupported topic override — topic parameter ignored or defaults used","Rate limiting on the host service — repeated calls may be throttled","Malformed request — missing required 'input' object returns schema validation error"],"whenToPreferThis":"Use this endpoint when an AI agent needs authoritative, structured guidance on selecting a geocoding or spatial data API rather than performing geocoding itself. Ideal when the agent must make a cost-aware procurement decision before calling any geocoding service, especially when request volumes, precision needs, or budget caps are variable. Prefer this over raw geocoding endpoints when the decision logic itself is the deliverable.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T18:49:23.510Z","isFirstParty":false,"canonicalSlug":"geocoding-and-spatial-data-procurement-decision-procedure-2dd039fa"}