{"uid":"cap_4YmWa6U7e7yaQOo9SGODJ","slug":"whatchuneed-llm-text-analyzer-79c2fed3","name":"whatchuneed LLM Text Analyzer","description":"320+ pay-per-call API endpoints across accommodation, LLM, code execution, crypto, medical, finance, and more. One API, one payment. Powered by x402 protocol.","url":"https://whatchuneed.vercel.app/api/llm/analyze","method":"POST","headers":{},"bodySchema":{"type":"object","required":["text"],"properties":{"text":{"type":"string"},"aspects":{"type":"array"}}},"responseSchema":{"type":"object","properties":{"topics":{"type":"array","items":{"type":"string"}},"analysis":{"type":"string"},"entities":{"type":"array","items":{"type":"object"}},"sentiment":{"type":"string"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.1","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":"$0.1/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.1","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.1","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_rf12vm7SE-C4nAWJjYoxa","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.1","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes free-form text to extract topics, named entities, sentiment, and a descriptive analysis summary.","exampleAgentPrompt":"Analyze this customer review and tell me the main topics, named entities, and overall sentiment: 'Apple's new MacBook Pro is blazing fast but the price hike is hard to justify for casual users.'","exampleUseCases":[{"title":"Customer feedback sentiment classification","prompt":"Analyze this support ticket and tell me the sentiment, main topics, and any entities mentioned: 'John from accounting says the new billing software crashes every time he exports a report to PDF.'"},{"title":"News article entity and topic extraction","prompt":"Extract all the named entities and key topics from this news snippet: 'Elon Musk announced Tesla's new Gigafactory in Mexico will begin production in Q3 2025, creating 5,000 local jobs.'"},{"title":"Product review content breakdown","prompt":"Give me a full text analysis of this product review — topics, sentiment, and any entities: 'The Sony WH-1000XM5 headphones have incredible noise cancellation but the touch controls feel unresponsive compared to Bose.'"}],"resultDescription":"Returns a JSON object containing an array of topic strings, a free-text analysis summary, an array of entity objects (with entity names and types), and a sentiment string (e.g. positive, negative, neutral).","failureModes":["Missing required 'text' field returns a validation error","Very long text inputs may be truncated or cause timeout","Ambiguous or extremely short text may yield low-confidence or empty topics/entities","Invalid 'aspects' array values may be ignored or cause unexpected output","Payment failure via x402 results in 402 response before analysis is performed"],"whenToPreferThis":"Choose this endpoint when you need a combined multi-faceted text analysis (topics + entities + sentiment + summary) in a single pay-per-call request, especially if you are already using the whatchuneed x402 ecosystem and want unified billing across multiple API types. It is well-suited for agents that process free-form text inputs and need structured NLP output without setting up a dedicated NLP service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T07:11:43.147Z","isFirstParty":false}