{"uid":"cap_Q5zighwzJVpOjybfpHAMp","slug":"x402-slinkylayer-ai-entity-sentiment-analysis-d74bbde8","name":"x402.slinkylayer.ai Entity Sentiment Analysis","description":"Accepts JSON input and analyzes the sentiment expressed about entities within the provided text using Google as the provider.","url":"https://x402.slinkylayer.ai/api/v1/proxy/:id/entity-sentiment?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":null,"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","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_P9wIQtUvT382T4BiP16z_","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes sentiment expressed about specific named entities within a provided text using Google's NLP provider","exampleAgentPrompt":"Analyze the entity-level sentiment in this text and tell me how positive or negative the feelings are about each named person, company, or product mentioned: 'Apple delivered a stunning keynote but Tim Cook seemed nervous, while analysts praised the new MacBook lineup.'","exampleUseCases":[{"title":"Brand reputation monitoring from reviews","prompt":"Analyze this product review for entity-level sentiment and tell me how customers feel about each brand or product mentioned: 'Samsung's camera was outstanding but the battery life disappointed, while Google Photos made everything seamless.'"},{"title":"News article entity sentiment extraction","prompt":"Break down the sentiment expressed about each named organization in this news paragraph: 'Tesla surged ahead in EV sales while Ford struggled with supply chain issues and GM remained cautiously optimistic.'"},{"title":"Social media mention analysis","prompt":"Tell me how positive or negative the sentiment is toward each person or company mentioned in this tweet: 'Loving what Elon is doing with SpaceX but really disappointed in how Twitter has been managed lately.'"}],"resultDescription":"Returns a structured JSON response containing a list of entities detected in the text, each with their entity type (person, organization, location, etc.), a sentiment score (ranging from -1.0 very negative to 1.0 very positive), and a magnitude value indicating the strength of the sentiment. May also include salience scores indicating how prominent each entity is in the document.","failureModes":["Empty or missing text body returns 400 Bad Request","Text exceeding provider character limits may return 413 or truncation error","Non-JSON content-type headers cause parsing failures","Proxy ID (:id) not found or unauthorized returns 404 or 403","Google NLP API downstream outage returns 502 or 503","Insufficient USDC balance or failed x402 payment returns 402 Payment Required","Text with no recognizable named entities returns empty entity list"],"whenToPreferThis":"Choose this endpoint when you need sentiment broken down per named entity rather than a single document-level sentiment score. It is ideal for competitive analysis, brand monitoring, review mining, or news parsing where multiple entities appear and you need to know how each one is perceived individually. Prefer this over general sentiment endpoints when entity attribution matters, and over keyword extraction endpoints when emotional tone is the goal.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:30:32.969Z","isFirstParty":false,"canonicalSlug":"x402-slinkylayer-ai-entity-sentiment-analysis-d74bbde8"}