{"uid":"cap_-ihdyTz9DCwu5lXGpTj3z","slug":"one-engine-word-bigram-tokenizer-1a5f1bd9","name":"ONE Engine Word Bigram 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/word-bigrams/t2?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":"0.0007","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":"$0.0007/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0007","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0007","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_lF5adPZvLuSzj-THj_z46","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.0007","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts word-level bigrams (consecutive two-word pairs) from input text up to 50,000 characters.","exampleAgentPrompt":"Extract all word bigrams from this paragraph: 'The quick brown fox jumps over the lazy dog. Every morning the dog would bark at the fox.'","exampleUseCases":[{"title":"NLP feature engineering for classifier","prompt":"Take this product review — 'The battery life is amazing but the screen is too dim' — and give me all the word bigrams so I can use them as features in my sentiment model."},{"title":"Keyword co-occurrence indexing","prompt":"I need to build a co-occurrence index for this article about climate change. Can you extract all consecutive two-word pairs from the text so I can see which words appear together most?"},{"title":"Plagiarism or similarity detection prep","prompt":"Break this 500-word essay into word bigrams so I can compare it against other submissions for similarity scoring."}],"resultDescription":"Returns a JSON object containing the word bigrams extracted from the input text — typically a list of consecutive two-word pairs (e.g. ['the quick', 'quick brown', 'brown fox']) derived from the provided string.","failureModes":["Text exceeds 50,000 character limit — request rejected or truncated","Empty text input returns empty bigram list","Payment of 0.0007 USDC not provided via x402 — 402 Payment Required response","Malformed JSON body — 400 Bad Request","Non-string text field — validation error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, pay-per-call word bigram extraction without standing up your own NLP infrastructure. It is ideal for agents that process text on-demand in an agentic pipeline and need cost-effective tokenization at sub-cent pricing via x402 on Base.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:44:24.683Z","isFirstParty":false,"canonicalSlug":"one-engine-word-bigram-tokenizer-1a5f1bd9"}