{"uid":"cap_dp-VKpKCCzzeNXKhNRhCv","slug":"coco-address-parse-04719b9c","name":"CoCo Address Parse","description":"Zach Riehn's lab: an about-me and portfolio, a news desk, The Atelier for AI experiments, Launch Lab for XRP research, and Fracture for games.","url":"https://cocoeatsai.com/area4/agent/tools/address-parse?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input","output"],"properties":{"input":{"type":"object","required":["type","method","queryParams"],"properties":{"type":{"const":"http"},"method":{"enum":["GET"]},"queryParams":{"type":"object","properties":{}}},"additionalProperties":false},"output":{"type":"object","required":["type","example"],"properties":{"type":{"const":"json"},"example":{"type":"object","required":["input"],"properties":{"input":{"type":"string"}}}}}}},"responseSchema":{"type":"json","example":{"type":"Street Address","input":"123 Example St, Springfield, IL 62701","ambiguous":false,"components":{"ZipCode":"62701","PlaceName":"Springfield","StateName":"IL","StreetName":"Example","AddressNumber":"123","StreetNamePostType":"St"}},"exampleNote":"Computed offline with demonstration inputs; time/random values are illustrative."},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.001","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":"$0.001/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Nw5d3rL0zC8wUYAJb6nkw","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Parses a free-text US street address string into structured components (address number, street name, city, state, ZIP code).","exampleAgentPrompt":"Can you parse '742 Evergreen Terrace, Springfield, IL 62704' into its individual address components like street number, street name, city, state, and ZIP?","exampleUseCases":[{"title":"E-commerce checkout address validation","prompt":"I need to break apart this customer shipping address into its components before storing it in our database — can you parse '88 Pine Street, Albany, NY 12207' into street number, street name, city, state, and ZIP?"},{"title":"Data cleaning for mailing list","prompt":"I have a raw address field '4500 Oak Avenue, Dallas, TX 75201' from an old CSV export — can you split it into structured parts so I can populate separate columns for street, city, state, and zip code?"},{"title":"Geocoding preprocessing pipeline","prompt":"Before I send this address to a geocoder, can you parse '1600 Pennsylvania Ave NW, Washington, DC 20500' and tell me if it's ambiguous, along with all the individual components?"}],"resultDescription":"Returns a JSON object containing the classified address type, the original input string, an ambiguity boolean flag, and a components object with parsed fields: AddressNumber, StreetName, StreetNamePostType, PlaceName (city), StateName, and ZipCode.","failureModes":["Missing or malformed address string returns error or empty components","Non-US address formats may parse incorrectly or produce ambiguous results","Ambiguous addresses (e.g. missing city or state) return ambiguous: true","PO Box or non-standard address types may not parse into standard component fields","Network or payment failure returns HTTP 402 or connection error"],"whenToPreferThis":"Use this endpoint when you need to decompose a free-text US street address into structured fields for downstream processing such as database storage, geocoding, or mail validation. Prefer it over manual regex parsing or NLP-based extraction when you need consistent, schema-compliant output with an explicit ambiguity signal. Ideal for lightweight, per-call address parsing at low cost ($0.001 USDC) without standing up a full address-verification service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:44:14.539Z","isFirstParty":false,"canonicalSlug":"coco-address-parse-04719b9c"}