{"uid":"cap_tN8MkZlaC_UndeomdrKRI","slug":"nexusapi-geo-address-formatter-a9b24671","name":"NexusAPI Geo Address Formatter","description":"Crypto, AI, Social Media, Finance, Weather, Tools & more. Pay per call in USDC on Base. No API keys.","url":"https://nexus-api-peach-nine.vercel.app/api/geo/address/format","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"query":{"type":"string","description":"Search query or input parameter"}}},"responseSchema":{"type":"object","description":"API response data"},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.091725","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":"$0.091725/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.091725","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.091725","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_VT37ng93qti2lqA6kZSj2","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.091725","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Formats and standardizes a geographic address string into a structured, normalized format","exampleAgentPrompt":"Can you format this address into a proper standardized form: '123 main st new york ny 10001'?","exampleUseCases":[{"title":"Clean up customer addresses for mailing","prompt":"I have a list of customer addresses that are all over the place in terms of formatting. Can you normalize them into a standard format so we can use them for our direct mail campaign?"},{"title":"Standardize addresses before database entry","prompt":"We're importing addresses from an old spreadsheet into our database and they're inconsistently formatted. Can you help me clean them all up and put them into a proper standardized structure?"},{"title":"Parse address fields for form submission","prompt":"Someone just filled out a contact form with their address written in a really informal way. Can you break it down into the standard components and format it properly so it matches our database schema?"}],"resultDescription":"A structured or normalized representation of the input address, likely including standardized street, city, state, postal code, and country components in a consistent format.","failureModes":["Invalid or unrecognizable address string returns an error or empty result","Ambiguous address with multiple interpretations may return incorrect formatting","Very short or incomplete address queries may fail to parse","Non-geographic query strings may return unexpected results","Payment failure (402) if USDC balance is insufficient"],"whenToPreferThis":"Use this endpoint when you need to normalize or standardize a raw or informal address string into a consistent structured format, particularly in workflows that require clean address data for mailing, geocoding, or database storage. Prefer this over geocoding endpoints when you only need formatting, not coordinates.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T00:44:36.870Z","isFirstParty":false}