{"uid":"cap_ffzgvz0LA7ITZvEEDYLFn","slug":"twitter-sentiment-analyzer-mcp-eedf6823","name":"Twitter Sentiment Analyzer MCP","description":"The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.","url":"https://api.m2mcent.com/twitter-sentiment-analyzer-mcp/api/process","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"payload":{"type":"string"}}},"responseSchema":{"type":"json","example":{"success":true}},"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_3MYTnI2OcWEWY1XspG5CY","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 the sentiment of Twitter/X-related text data, returning sentiment classification and scoring","exampleAgentPrompt":"Can you analyze the sentiment of this tweet for me: 'Just tried the new iPhone and honestly it's the best phone I've ever owned — total game changer!'?","exampleUseCases":[{"title":"Brand monitoring sentiment check","prompt":"Analyze the sentiment of this tweet about our brand: 'Really disappointed with @AcmeCorp's customer service, waited 3 hours and got no help.' — is it positive, negative, or neutral?"},{"title":"Political tweet tone detection","prompt":"Can you tell me whether this tweet leans positive or negative: 'The new infrastructure bill is a massive step forward for our communities and future generations'?"},{"title":"Product review Twitter screening","prompt":"I need to know the sentiment of this tweet before I retweet it on our company account: 'This new SaaS tool completely broke our workflow and cost us a client.'"}],"resultDescription":"Returns a sentiment classification (e.g. positive, negative, neutral) and likely a confidence score or polarity value derived from the input text, helping agents understand the emotional tone of Twitter/X content.","failureModes":["Empty or missing 'data' field returns a validation error","Non-text or malformed input may return an error or low-confidence result","Very short or ambiguous tweets may yield uncertain or neutral classifications","Rate limiting or payment failures may result in 402 or 429 HTTP errors","Sarcasm or irony in tweets may be misclassified"],"whenToPreferThis":"Use this endpoint when you need quick, per-call sentiment classification of individual tweets or Twitter-style short-form text, especially within an agentic workflow that processes social media content and requires per-call micropayment billing via x402.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T01:20:46.216Z","isFirstParty":false}