{"uid":"cap_3QyXUd_z6hl7JC4V--4zZ","slug":"minichan-sentiment-analysis-nvidia-nim-minimax-m3-6af4c1b9","name":"MiniChan Sentiment Analysis — NVIDIA NIM MiniMax-M3","description":"NVIDIA NIM MiniMax-M3 (428B MoE) powered API for AI agents. 15 multimodal endpoints — text, vision, code, reasoning, creative. Pay with USDC on Base via x402.","url":"https://minizzzan.vercel.app/api/sentiment","method":"POST","headers":{},"bodySchema":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to analyze"}}},"responseSchema":{"type":"object"},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","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":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_CUKqzpredXqktmQFbIZpm","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","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 a given text using NVIDIA NIM's MiniMax-M3 (428B MoE) model, returning a sentiment classification.","exampleAgentPrompt":"Analyze the sentiment of this customer review and tell me if it's positive, negative, or neutral: 'The product arrived on time but the packaging was completely crushed and two items were missing — very disappointed.'","exampleUseCases":null,"resultDescription":"A JSON object containing the sentiment classification (e.g. positive, negative, or neutral) and potentially a confidence score or sentiment label for the provided text input.","failureModes":["Missing required 'text' field — returns 400 or validation error","Empty or blank text string — may return error or undefined sentiment","Text too long for model context window — may truncate or error","Payment failure via x402/USDC — returns 402 Payment Required","Model inference timeout — returns 5xx or gateway error","Non-English text may yield unreliable sentiment results"],"whenToPreferThis":"Use this endpoint when you need AI-powered sentiment analysis backed by a large 428B MoE model (MiniMax-M3 via NVIDIA NIM) and are paying per-call with USDC on Base via x402. Prefer this over lighter-weight sentiment APIs when accuracy on nuanced or complex text matters. Good for agents that already operate in the x402 payment ecosystem.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T18:44:14.927Z","isFirstParty":false}