{"uid":"cap_HcE_Fk1H6eyeQUiFGnMso","slug":"forgemesh-word-count-analyzer-d6ab53e6","name":"ForgeMesh Word Count Analyzer","description":"Breaks down any text into character, word, and sentence counts, estimated LLM token count, and reading time, computed instantly with nothing stored. Useful for context-budget checks before an API call, content-length validation, and editorial word-count requirements.","url":"https://x402.forgemesh.io/word-count-analyzer","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string"}}},"responseSchema":{"type":"json","example":{"words":13,"sentences":2,"flesch_reading_ease":97,"estimated_llm_tokens":16}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.001","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":"$0.001/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_x8jVoWb5Vihli9Qx-KXRW","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes input text and returns character, word, and sentence counts, estimated LLM token count, and reading time instantly without storing any data.","exampleAgentPrompt":"How many words, characters, sentences, and tokens is this text, and how long would it take to read? Here's the text: 'Artificial intelligence is reshaping every industry. From healthcare to finance, organizations are leveraging machine learning to automate decisions, reduce costs, and improve outcomes.'","exampleUseCases":null,"resultDescription":"Returns character count, word count, sentence count, an estimated LLM token count, and estimated reading time for the submitted text, all computed in real time with no data stored server-side.","failureModes":["Empty or missing 'text' field returns an error or zero-value response","Extremely large texts may exceed input size limits","Non-text binary payloads may cause parsing errors","Token count is an estimate and may differ from exact tokenizer counts for specific LLM models"],"whenToPreferThis":"Use this endpoint when you need a quick, stateless, privacy-friendly computation of text length metrics — especially LLM token estimation before making a paid API call, or when validating editorial word-count requirements. Prefer this over client-side approximations when you need a reliable server-side figure, and over general NLP APIs when you only need counts and reading time without stored data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T06:54:12.318Z","isFirstParty":false}