# SiteCheck Text Tone Analyzer > SiteCheck Text Tone Analyzer is a paid API for AI agents from api.sitecheck-api.workers.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-16). Analyzes a passage of text for tone, sentiment, emotions, formality, reading level, and actionable writing suggestions ## Facts - Endpoint: POST https://api.sitecheck-api.workers.dev/api/text/tone?utm_source=zero.xyz - Price: $0.002/call - Payment: x402 - Status: unknown - Last checked: 2026-10-16 - Activations on Zero: 0 - Tags: x402 - Canonical page: https://www.zero.xyz/c/sitecheck-text-tone-analyzer-ba394ece - Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_m2T69yX8yLaOcnUUx84gT Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently. ## How to call it through Zero Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`): ```sh zero fetch --capability sitecheck-text-tone-analyzer-ba394ece -d '' ``` Example prompt: 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? ## When to prefer this 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. ## Known failure modes - 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 ## How this service works Pay-per-call tools for AI agents: image generation, speech-to-text, text-to-speech, embeddings, LLM chat, website audits and contact enrichment, web page to Markdown reader, PDF to text, sitemap URLs, tech stack detection, translation, exchange rates, e-mail pre-check, domain RDAP/DNS lookup, Solana token checks, trending tokens and wallet holdings, plus business and compliance data (EU VAT/VIES, IBAN, LEI/GLEIF, US recalls, OSHA/EPA violations, UK insolvency notices). Also: SEO metadata, link checking, redirect chains, security headers, mail DNS (SPF, DMARC, DKIM), QR codes, language detection, photo EXIF, identifier validation, image OCR, SEC filings, SEC financials, Congress bills, macro rates, UK company data, GitHub repo stats, Hacker News, Wikipedia, gas prices, Solana swap quotes, ERC-20 token checks, ENS names, EVM wallet balances, EVM balances, transactions and contract calls, Solana transactions and accounts, crypto prices, candles and order books, DeFi TVL, yields and stablecoins, SEC insider trades, weather, geocoding and holidays, IP owners and postcodes, npm, PyPI and crates package data and vulnerabilities, GitHub profiles, arXiv papers and DOIs, structured extraction, summaries, sentiment and reranking, HTML tables and RSS feeds, Bitcoin fees, addresses and transactions, Bitcoin address balances, Bitcoin transaction status, EVM calldata decoding, verified EVM contracts, Hyperliquid perpetual markets, Hyperliquid account positions, Polymarket odds, crypto fear and greed, DeFi fees, DEX volume, company registries of four countries, ISIN, CUSIP and ticker lookup, SEC full-text search, SEC 8-K events, FDA drug labels, FDA adverse event counts, clinical trials, PubMed articles, US federal grants, EU public tenders, NPI provider lookup, US address geocoding, USGS earthquakes, NWS weather alerts, sunrise and moon times, time zone conversion, distance and bearing, GDACS disaster alerts, llms.txt checks, AI crawler access, tracker and cookie audits, certificate transparency, site logos and icons, GitHub releases, GitHub issues, Stack Overflow answers, read-only Wikidata queries, text moderation, image descriptions, text classification, named entity extraction, PII redaction, phone number checks, cron explanations, JSON Schema validation, whale transfers, SSL certificate expiry, Markdown to HTML, PageSpeed scores, Product Hunt launches, sanctions screening (OFAC, EU, UN, UK), flight fare search, YouTube transcripts, speech to text from media links, perpetual funding rates, crypto technical indicators, crypto news headlines, crypto spot conversion, World Bank macro indicators, loan and investment calculator, grammar checks, readability scores, keyword extraction, text diffs, transliteration and slugs, text chunking, subtitle translation, tone rewrites, working days, date calculations, unit conversion, book lookup, food nutrition, airport lookup, tide predictions, nearby places, robots.txt checks, hashes, encode and decode, JWT inspection, UUIDs and passwords, User-Agent parsing, subdomain discovery, uptime checks, VIN decoding, UK EORI checks, SWIFT and BIC checks, stock ticker lookup, invoice extraction, resume parsing, address parsing, prediction-market data, multi-chain RPC and chain data, compliance and government data, web data, search and research, AI text jobs. Plus prediction-market search, briefs, quotes and unsigned buy transactions, powered by Panta. Payment: x402, USDC on Base, Solana or Arc. No signup, no API key. ## Output 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. ## Request schema (JSON Schema) ```json { "type": "object", "properties": { "text": { "type": "string", "description": "Text to analyse (max 10,000 characters)" } } } ``` ## Response schema (JSON Schema) ```json { "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 } } } ``` ## More - Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sitecheck-text-tone-analyzer-ba394ece/health.json - [Zero catalog index](https://www.zero.xyz/llms.txt) - [Other services from api.sitecheck-api.workers.dev](https://www.zero.xyz/host/api.sitecheck-api.workers.dev/llms.txt)