{"uid":"cap_23ntNBCsFgZ56Ewfp-DSd","slug":"one-engine-alphanumeric-t5-text-tokenizer-42e5cb86","name":"ONE Engine Alphanumeric T5 Text Tokenizer","description":"Low-cost pay-per-call utility APIs for autonomous agents using x402 on Base.","url":"https://one-search.one-engine.workers.dev/v3/text-token/alphanumeric/t5?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text up to 50000 characters"}}},"responseSchema":{"type":"object","additionalProperties":true},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.0025","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":"$0.0025/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0025","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0025","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_rtbO6rsKo_Hqzpicd9omm","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.0025","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Tokenizes input text into alphanumeric tokens using a T5-style tokenization scheme, returning token data for up to 50,000 characters.","exampleAgentPrompt":"Tokenize this paragraph into alphanumeric T5 tokens: 'The quick brown fox jumps over the lazy dog. Machine learning models require tokenized input before processing.'","exampleUseCases":[{"title":"Token count before model submission","prompt":"Can you tokenize this article text and tell me how many alphanumeric T5 tokens it produces? I need to know if it fits within a model's context window. Here's the text: 'Artificial intelligence has transformed the way we interact with computers...'"},{"title":"NLP pipeline text preprocessing","prompt":"I'm preprocessing customer reviews for a sentiment model — can you run this review through the T5 alphanumeric tokenizer? The text is: 'Absolutely loved the product! Fast shipping, great quality, will order again.'"},{"title":"Debugging tokenization of special input","prompt":"Tokenize this mixed alphanumeric string for me using the T5 tokenizer: 'Order #A1B2C3 placed on 2024-01-15 for $49.99 — please verify token breakdown.'"}],"resultDescription":"Returns a JSON object containing the alphanumeric T5 tokenization of the submitted text, likely including token arrays, token IDs, or token count metadata derived from the T5 tokenization scheme applied to the input string.","failureModes":["Text exceeding 50,000 characters may be rejected or truncated","Missing required 'text' field returns a validation error","Payment failure (402) if x402 USDC micropayment on Base is not completed","Empty string input may return an empty token list or error","Non-alphanumeric-only content may be filtered or stripped before tokenization"],"whenToPreferThis":"Choose this endpoint when you need lightweight, pay-per-call T5-style alphanumeric tokenization without standing up your own NLP infrastructure. It is well-suited for agents that occasionally need token counts or token encodings and want to avoid per-seat SaaS subscriptions. The x402 micropayment model at $0.0025 USDC makes it economical for sporadic or burst workloads.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:44:06.493Z","isFirstParty":false,"canonicalSlug":"one-engine-alphanumeric-t5-text-tokenizer-42e5cb86"}