{"uid":"cap_AnCqfQLMM8VPFsWVQy3Tt","slug":"one-engine-domain-text-extractor-t8-4e1e2bbf","name":"ONE Engine Domain Text Extractor (t8)","description":"Low-cost pay-per-call utility APIs for autonomous agents using x402 on Base.","url":"https://one-search.one-engine.workers.dev/v3/text-extract/domains/t8?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text up to 50000 characters"}}},"responseSchema":{"type":"object","additionalProperties":true},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_p_e4yeDchpJ-zLo3jBb9H","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts and parses text content from domains, returning structured data from up to 50,000 characters of input text.","exampleAgentPrompt":"Extract and parse all domain-related information from this text: 'We partner with google.com, openai.com, and anthropic.com for AI services, and also use cloudflare.com for infrastructure — can you pull out all those domain references and structure them for me?'","exampleUseCases":[{"title":"Extract domains from marketing copy","prompt":"Here's a block of marketing text from a competitor's page — can you extract all the domain names and partner references mentioned in it? The text is: 'Our integrations include salesforce.com, hubspot.com, and slack.com, all managed through our platform at acme.io.'"},{"title":"Parse domain references from legal document","prompt":"I have this excerpt from a terms-of-service document and I need to pull out every domain or URL reference it mentions — here's the text: 'By using our service at example.com you agree to data processing by our subsidiaries at dataproc.io and analytics.example.net.'"},{"title":"Identify domains in scraped web content","prompt":"I scraped this raw text from a webpage and need to identify and extract all the domain names embedded in it so I can audit external links — here's the content: 'Visit our blog at blog.mysite.com, our docs at docs.mysite.com, or our community at community.mysite.io for more details.'"}],"resultDescription":"Returns a JSON object containing extracted and structured information derived from the input text, specifically focusing on domain-related entities and text parsing results. The exact response shape is open (additionalProperties: true), so the agent should expect a flexible object with extracted domain data, potentially including lists of domains, metadata, or parsed content fields.","failureModes":["Text exceeding 50,000 characters will be rejected or truncated","Empty or missing 'text' field returns a validation error","Malformed JSON input returns a 400-level error","Payment failure via x402 on Base blocks the request entirely","Ambiguous or non-domain text may return sparse or empty extraction results"],"whenToPreferThis":"Choose this endpoint when you need to extract domain-related text entities from raw text content at very low cost ($0.01 USDC per call) using the x402 micropayment protocol on Base. It is well-suited for agents that process batches of text passages and need to identify or structure domain references without committing to expensive NLP pipelines. Prefer this over general-purpose LLM extraction when cost per call and autonomy-native payment (x402) are priorities.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:43:26.406Z","isFirstParty":false,"canonicalSlug":"one-engine-domain-text-extractor-t8-4e1e2bbf"}