{"uid":"cap_m2T69yX8yLaOcnUUx84gT","slug":"sitecheck-text-tone-analyzer-ba394ece","name":"SiteCheck Text Tone Analyzer","description":"Tone analysis of a text (max 10,000 characters): formality 0-1, sentiment, emotion scores, tone labels such as friendly, aggressive or urgent, and short suggestions. The reading level (Flesch-Kincaid grade) is computed in code with a simple syllable count, so treat it as an estimate. Model judgements are not measurements.","url":"https://api.sitecheck-api.workers.dev/api/text/tone?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string","description":"Text to analyse (max 10,000 characters)"}}},"responseSchema":{"type":"json","example":{"note":"Model-based tone and sentiment; the reading level is an estimate.","tones":["friendly","polite"],"emotions":{"gratitude":0.9,"appreciation":0.8},"checkedAt":"2026-10-15T18:21:18.118Z","formality":0.8,"sentiment":"positive","suggestions":["Consider adding a deadline reminder","Use a more direct tone for urgent requests","Be mindful of the team's workload"],"readingLevel":{"method":"Flesch-Kincaid grade, vowel-group syllable estimate, computed in code","fleschKincaidGrade":2.7}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","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":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_KAGJPvosSiEbyuqbFYsIn","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes a passage of text for tone, sentiment, emotions, formality, reading level, and actionable writing suggestions","exampleAgentPrompt":"Can you analyze the tone, sentiment, and reading level of this email draft I wrote to a client — I want to know if it sounds friendly and professional, and whether there are any suggestions to improve it?","exampleUseCases":[{"title":"Pre-send email tone review","prompt":"Before I send this email to my manager, can you check if it sounds too passive-aggressive or overly formal? Here's the text: 'I noticed the deadline was moved again without notifying the team. I wanted to flag this so we can align on expectations going forward.' Tell me the tone, sentiment, and any suggestions."},{"title":"Customer support reply quality check","prompt":"I just wrote a reply to an angry customer and want to make sure it sounds empathetic and professional before I hit send. Can you analyze this text for tone and emotions: 'We sincerely apologize for the inconvenience caused. Our team is actively working to resolve your issue and will update you within 24 hours.'"},{"title":"Marketing copy readability audit","prompt":"Can you check the reading level and formality of this product description I'm writing for a general consumer audience? I want it to be friendly but not too casual. Here's the text: 'Introducing our all-new blender — powerful enough for the toughest ingredients, simple enough for every morning.'"}],"resultDescription":"Returns a JSON object containing an array of tone labels (e.g. 'friendly', 'polite'), a sentiment string (positive/negative/neutral), a map of detected emotions with confidence scores (0–1), a formality score (0–1), a Flesch-Kincaid reading grade level with methodology note, an array of actionable writing improvement suggestions, and a checkedAt ISO timestamp.","failureModes":["Text exceeds 10,000 character limit — request rejected or truncated","Empty or missing text field — likely returns an error or empty analysis","Non-English text may produce inaccurate tone or reading level estimates","Model-based outputs are probabilistic and may not reflect nuanced sarcasm or irony accurately","Rate limiting or payment failure via x402 protocol causes 402 response"],"whenToPreferThis":"Use this endpoint when you need a multi-dimensional text quality assessment in a single call — combining sentiment, tone labels, emotion scores, formality, reading level, and writing suggestions together. It is well-suited for pre-send email checks, customer support quality assurance, content readability audits, and writing coaching workflows. Prefer this over standalone sentiment APIs when you need the full tonal profile including Flesch-Kincaid grade and concrete improvement suggestions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T12:43:12.302Z","isFirstParty":false,"canonicalSlug":"sitecheck-text-tone-analyzer-ba394ece"}