{"uid":"cap_HYxr3gzNq-m8j0Z0stjOE","slug":"one-engine-text-mention-extractor-t6-313cc89d","name":"ONE Engine Text Mention Extractor (t6)","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/mentions/t6?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":"0.004","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":"$0.004/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.004","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.004","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_KTE4VspDaQd6__WpvyY3j","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.004","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts mentions (entities, references, or named occurrences) from a block of text up to 50,000 characters.","exampleAgentPrompt":"Scan this 2,000-word article and pull out every mention — people, organizations, places, or any other notable references — so I can see what entities appear in the text.","exampleUseCases":[{"title":"Brand monitoring in press releases","prompt":"Here's a press release about a competitor product launch — extract every mention of company names, people, and product references so I can map out who's involved."},{"title":"Entity extraction from legal documents","prompt":"Go through this contract text and extract all mentions — parties, jurisdictions, dates, and any named references — so I can build a structured summary of who and what is covered."},{"title":"News article entity mapping","prompt":"I have this news article about the election — pull out all the mentions of politicians, locations, and organizations that appear in it so I can tag them for my database."}],"resultDescription":"A JSON object containing the extracted mentions found within the input text, likely including the mention strings and their context or positions within the document.","failureModes":["Text exceeds 50,000 character limit — request rejected or truncated","Empty or missing 'text' field — validation error","Payment failure via x402 — 402 response returned before processing","Malformed request body — 400 bad request","No mentions found in text — empty results object returned"],"whenToPreferThis":"Choose this endpoint when you need a low-cost, pay-per-call mention extraction from arbitrary text without committing to a subscription NLP service. Best suited for agent workflows on Base that already use x402 micropayments and need lightweight entity detection at $0.004 per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:44:09.732Z","isFirstParty":false,"canonicalSlug":"one-engine-text-mention-extractor-t6-313cc89d"}