{"uid":"cap__5vmR2l85YTMlvqSnGjcV","slug":"contact-information-extractor-email-phone-address-d8eafc6e","name":"Contact Information Extractor (Email, Phone, Address)","description":"51 REST endpoints for AI agents. Weather, news, crypto, stocks, products, courses, real estate, and 42 more. Pay per call in USDC/USDT via x402.","url":"https://engedi.digi-life17.workers.dev/api/extract-data","method":"GET","headers":{},"bodySchema":null,"responseSchema":{},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.003","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":"$0.003/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Zzb1ddm8T-mAJsDzlZDrS","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.003","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts emails, phone numbers, and physical addresses from a block of text","exampleAgentPrompt":"Can you pull out all the emails, phone numbers, and addresses from this text: 'For inquiries contact Jane at jane@example.com or call (555) 867-5309. Our office is at 42 Wallaby Way, Sydney NSW 2000.'","exampleUseCases":null,"resultDescription":"Returns a data object containing extracted entities (emails, phone numbers, addresses) found in the input text, along with metadata including a confidence score, cache status, data source label, and last_updated timestamp. The success field indicates whether extraction completed successfully.","failureModes":["Missing required 'text' query parameter returns an error","Empty or very short text may return empty data arrays with success:true","Malformed or non-text input may yield low confidence scores","Rate limiting or payment failure may block the request","Text with ambiguous patterns may produce false positives or misclassified entities"],"whenToPreferThis":"Use this endpoint when you have unstructured free-form text and need to programmatically identify and extract contact-type entities (emails, phone numbers, addresses) without running a full NLP pipeline yourself. It is well-suited for processing scraped web content, user-submitted text, or documents where contact data is embedded in prose.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T18:42:33.631Z","isFirstParty":false}