{"uid":"cap_HaqIp7wStcjrIdYYiUOcz","slug":"one-engine-text-mentions-extractor-t8-4cc68816","name":"ONE Engine Text Mentions 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/mentions/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_of07BLumLOSxMAEa8XU8A","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 surfaces all mentions (entities, references, or named items) from a block of text up to 50,000 characters.","exampleAgentPrompt":"Scan this article text and pull out every mention — people, organizations, brands, or anything else referenced — the article is about 2,000 words long and covers the recent tech merger announcement.","exampleUseCases":[{"title":"Brand mention audit from press release","prompt":"Here's a press release about our new product launch — can you extract every brand, company, and person mentioned in it so I can track who we're associated with?"},{"title":"Entity extraction from research report","prompt":"I have this 40,000-character financial research report — pull out all the company names, ticker symbols, and executive names mentioned anywhere in it."},{"title":"Social media mention detection","prompt":"I've collected a bunch of tweets into one text blob — can you find all the @mentions, brand names, and product references in there?"}],"resultDescription":"A JSON object containing the extracted mentions found within the submitted text — typically a structured list of entities, references, or named items detected across the input content.","failureModes":["Text exceeds 50,000 character limit — request rejected or truncated","Empty or whitespace-only text input yields no mentions","Payment failure via x402 protocol results in 402 response before processing","Ambiguous or highly abbreviated text may yield incomplete mention extraction","Non-English or mixed-language text may reduce extraction accuracy"],"whenToPreferThis":"Choose this endpoint when you need a cheap, low-latency, pay-per-call mention extraction from arbitrary text without a subscription or quota system. Ideal for autonomous agents that process variable volumes of text and want per-call billing via x402 on Base at $0.01 USDC per call. Best for text documents up to 50,000 characters where entity/mention identification is the primary goal.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:44:07.776Z","isFirstParty":false,"canonicalSlug":"one-engine-text-mentions-extractor-t8-4cc68816"}