{"uid":"cap_kH-16CB41os8Sb-7DNojJ","slug":"tradepilotusa-sentiment-analysis-2b2a48d7","name":"TradepilotUSA Sentiment Analysis","description":"Analyze supplied customer-feedback text by topic and expressed sentiment; do not infer personal traits. Uses buyer-supplied information only; no external research or outbound actions. Returns a draft for human review.","url":"https://www.tradepilotusa.com/api/agent-commerce/v1/services/sentiment_analysis/execute?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"brief":{"type":"string","maxLength":12000,"minLength":10},"audience":{"type":"string","maxLength":500},"source_text":{"type":"string","maxLength":32000,"minLength":20}}},"responseSchema":{"type":"json","example":{"task":"sentiment_analysis","summary":"The feedback details operational procedures for residential door installation, focusing on consultation scheduling and measurement confirmation. A concern about appointment delays is noted, with a mee","artifact":"Illustrative excerpt from a synthetic provider check:\n## Customer Feedback Analysis by Topic and Sentiment\n\n### Topics Identified\n1. **Service Offering**\n   - Residential entry door installation in Dallas.\n   - Consultations available Monday through Friday.\n\n2. **Operations and Scheduling**\n   - Consultation scheduling managed by the operations manager.\n   - Installation crew confirms measurements prior to final quoting.\n\n3. **Project Management and Delays**\n   - Upcoming meeting to review appointment delays.\n   - Current delay rates and final proj","provenance":{"source":"buyer_supplied","generated_at":"2026-09-22T14:42:36.270Z","external_research_performed":false},"request_id":"example_sentiment_analysis","assumptions":["The operations manager has access to detailed scheduling notes relevant to appointment delays.","Appointment delays are significant enough to warrant a dedicated meeting."],"evidence_gaps":["Quantitative data on current appointment delay rates.","Final project budget figures."],"requires_human_review":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.25","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":"$0.25/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.25","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.25","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_wWNFSwJ_7TKdyqLIeFiBh","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.25","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 provided text, returning a topic breakdown, sentiment summary, assumptions, evidence gaps, and a human-review flag.","exampleAgentPrompt":"Can you run a sentiment analysis on this customer feedback for me? The brief is 'Post-installation survey for residential door services in Dallas', the audience is 'operations managers', and the source text is: 'The installation team was punctual and professional, but we experienced significant delays in the initial consultation scheduling that pushed back our project timeline by two weeks.'","exampleUseCases":[{"title":"Customer review sentiment breakdown","prompt":"Analyze the sentiment of this product review for me — brief is 'Q3 e-commerce product reviews', audience is 'marketing team', and the text is: 'The packaging was beautiful and delivery was fast, but the product quality felt cheap compared to the price we paid. I probably won't reorder.'"},{"title":"Support ticket tone classification","prompt":"I need to understand the tone of this support ticket before our team responds. Brief: 'Inbound support escalation for SaaS billing issue', audience: 'customer success managers', source text: 'I have been waiting three weeks for a refund and nobody has responded to my emails. This is completely unacceptable and I am considering disputing the charge with my bank.'"},{"title":"Employee feedback sentiment analysis","prompt":"Run a sentiment analysis on this anonymous employee survey response — brief is 'Annual employee engagement survey 2024', audience is 'HR leadership', source text: 'Management communication has improved a lot this year, and I feel more supported on my team. That said, the workload during Q4 was unsustainable and I nearly burned out.'"}],"resultDescription":"Returns a JSON object containing: a task label, a plain-language sentiment summary, a detailed artifact with topics identified and their associated sentiment, a list of assumptions made, evidence gaps flagged, a provenance block (source, timestamp, whether external research was used), a request ID, and a boolean flag indicating whether human review is recommended.","failureModes":["source_text too short (< 20 chars) or too long (> 32000 chars) returns validation error","brief too short (< 10 chars) or too long (> 12000 chars) returns validation error","malformed JSON body returns 400 error","insufficient USDC balance or payment failure returns 402 error","ambiguous or low-content text may produce low-confidence output with requires_human_review: true","no external research performed, so real-time or web-sourced data is not incorporated"],"whenToPreferThis":"Choose this endpoint when you need structured sentiment analysis with topic decomposition, assumption tracking, and evidence gap identification — particularly useful in business operations contexts (customer feedback, support tickets, employee surveys) where auditability and human-review flagging matter. Prefer this over generic NLP APIs if you need the full analytical artifact with provenance metadata rather than just a sentiment label.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T06:47:59.994Z","isFirstParty":false,"canonicalSlug":"tradepilotusa-sentiment-analysis-2b2a48d7"}