{"uid":"cap_VcS7bUJYwZI6qPU20cieF","slug":"coinlight-text-stats-token-estimator-0ed9ab74","name":"Coinlight Text Stats & Token Estimator","description":"Coinlight charges USDC per API call with the x402 protocol on Solana and Base.","url":"https://coinlight-app.vercel.app/p/text-stats?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET"],"type":"string"},"queryParams":{"type":"object","examples":[{"text":"The quick brown fox jumps over the lazy dog."}],"required":["text"],"properties":{"text":{"type":"string","description":"Text to measure (max 200k chars)."}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"endpoint":"Text stats and token estimate"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.005","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":"$0.005/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_uNrknpX1zBedKQn3ePTXZ","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.005","costPer":"request","priority":0,"asset":"EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Counts characters, words, lines, and bytes in a text string, and estimates LLM token consumption to help agents budget context windows before making API calls.","exampleAgentPrompt":"Before I send this article to the LLM, can you check how many characters, words, and estimated tokens it has? Here's the text: 'The global economy showed signs of recovery last quarter, driven primarily by...'","exampleUseCases":[{"title":"Pre-flight prompt token check","prompt":"I'm about to send this system prompt to GPT-4 — can you tell me how many tokens it would use so I know if it fits in an 8k context window? Here's the prompt text: 'You are a helpful assistant specialized in financial analysis. Your role is to...'"},{"title":"Document size audit for RAG pipeline","prompt":"I need to know the character count, word count, and estimated token count for this chunk of text I'm about to embed: 'Retrieval-augmented generation (RAG) is a technique that combines information retrieval with language model generation...'"},{"title":"Validating user input length before LLM call","prompt":"Can you measure this user-submitted message and tell me how many tokens it is so I can decide whether to truncate it before sending to the API? The message is: 'I have a very long story to tell you about my experience with the product last week when I visited the store and spoke to the manager...'"}],"resultDescription":"Returns a JSON object with numeric counts for characters, words, lines, and bytes in the input text, along with an estimated LLM token count — enabling agents to make informed decisions about context window usage before dispatching text to a language model.","failureModes":["Text exceeding 200k characters returns an error","Empty text input may return zero counts or validation error","Extremely long inputs may time out","Token estimates are approximations and may differ slightly from actual tokenizer counts","Missing required 'text' query parameter returns a 400-style error"],"whenToPreferThis":"Use this endpoint when an AI agent needs to programmatically verify whether a piece of text will fit within an LLM's context window before making a potentially expensive or failing API call. Ideal for pipelines that process variable-length user input, documents, or generated content and need to gate or truncate based on token budget. Prefer this over manual estimation when precision matters or when automating document chunking logic.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T00:33:41.125Z","isFirstParty":false,"canonicalSlug":"coinlight-text-stats-token-estimator-0ed9ab74"}