{"uid":"cap_G5RfXKhu1dYumxceoEVB5","slug":"pennyrail-bpe-token-counter-3940b40a","name":"PennyRail BPE Token Counter","description":"Machine-readable settlement service","url":"https://pennyrail.vercel.app/api/p/nano/text.token-count--bpe-token-count","method":"POST","headers":{},"bodySchema":{"type":"object","required":["input"],"properties":{"input":{"type":"object"}}},"responseSchema":{"type":"object","additionalProperties":true},"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_iJEAPAtepmzyG8hPCLDnM","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":"Counts the number of BPE (Byte Pair Encoding) tokens in a given text string using a tokenizer-compatible method","exampleAgentPrompt":"How many BPE tokens is this text? 'The quick brown fox jumps over the lazy dog near the riverbank at dusk.' I need to know before sending it to an LLM.","exampleUseCases":[{"title":"Prompt length guard before LLM call","prompt":"Before I send this system prompt to the model, count its BPE tokens for me: 'You are a helpful assistant specialized in tax law. Always cite sources. Never speculate beyond your knowledge cutoff.' I want to make sure it fits under 512 tokens."},{"title":"Chunking documents for RAG pipeline","prompt":"I'm splitting this paragraph into chunks for my retrieval system — can you count how many BPE tokens are in this chunk? 'Quantum computing leverages superposition and entanglement to perform calculations exponentially faster than classical machines for specific problem types.'"},{"title":"Cost estimation for batch text processing","prompt":"I need to estimate how many tokens this user review will consume before I process it through the API: 'Absolutely loved the product — arrived early, packaging was perfect, and the quality exceeded expectations. Will definitely order again.' Can you count the BPE tokens?"}],"resultDescription":"Returns a token count (integer) representing how many BPE tokens the input text encodes to, enabling callers to measure prompt length, enforce context window limits, or estimate LLM API costs.","failureModes":["Missing or malformed 'input' object returns a validation error","Empty or null text field may return zero or an error","Payment failure (402) if USDC balance is insufficient","Ambiguous tokenizer type (BPE variant not specified) may produce unexpected counts","Very large inputs may time out or be rejected"],"whenToPreferThis":"Use this endpoint when you need fast, programmatic BPE token counts for LLM prompt management, context-window enforcement, or cost estimation — especially inside autonomous agent pipelines that require metered, pay-per-call access via x402 USDC micropayments without managing API keys.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T07:21:55.618Z","isFirstParty":false}