{"uid":"cap_ErDKTwA8XEsRxRVbEmEw2","slug":"articles-adjacent-word-pair-frequency-analyzer-fe188051","name":"Articles Adjacent Word-Pair Frequency Analyzer","description":"Articles — Adjacent word-pair frequency: Adjacent word-pair frequency for Articles. One public HTTPS page or supplied HTML; static parsing, no JavaScript rendering, login or access bypass. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one bounded adjacent word-pair frequency result.","url":"https://market.datapackvibe.com/x402/assistant-bx-web-articles-bigrams?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"url":{"type":"string","default":"","maxLength":2048},"html":{"type":"string","default":"<!doctype html><html><head></head><body><article id=\"sample\" data-kind=\"example\">Example product guide</article></body></html>","maxLength":100000},"term":{"type":"string","default":"product","maxLength":100,"minLength":1},"attribute":{"type":"string","default":"id","pattern":"^[a-zA-Z][a-zA-Z0-9:_-]{0,49}$","maxLength":50},"previous_texts":{"type":"array","items":{"type":"string","default":"","maxLength":1000},"default":["Older example"],"maxItems":200,"minItems":0},"attribute_value":{"type":"string","default":"sample","maxLength":200}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_i0V515aBLR0-5degUL5KQ","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts bigram (adjacent word-pair) frequency counts from article content on a public webpage or supplied HTML","exampleAgentPrompt":"Can you analyze the article at https://example.com/my-article and count how often adjacent word pairs appear, focusing on the term 'product' in the element with id 'main-article'?","exampleUseCases":[{"title":"SEO keyword phrase frequency audit","prompt":"Analyze this article URL https://myblog.com/guide-to-coffee and tell me how often the word pair 'coffee beans' and other adjacent word pairs appear — I want to see bigram frequency counts to help with my SEO content strategy, focusing on the term 'coffee' in the article element with id 'content'."},{"title":"Competitor content pattern analysis","prompt":"Take this HTML from a competitor's product page and count all adjacent word-pair frequencies in their article section — the attribute is 'data-kind' and the value is 'product-guide', and I'm looking at the term 'features' to understand how they write about their product."},{"title":"Academic text co-occurrence research","prompt":"I have the HTML of a research article I want to study — can you parse it and give me the bigram frequency breakdown for the term 'machine learning', using the article element with id 'abstract', and also compare it against these older texts I'll provide?"}],"resultDescription":"Returns a bounded adjacent word-pair frequency result showing how often each pair of consecutive words appears in the targeted article content, parsed statically from the provided URL or HTML without JavaScript rendering.","failureModes":["URL is behind a login wall or paywall — endpoint cannot bypass authentication","JavaScript-rendered content is not accessible since only static parsing is performed","URL is unreachable or returns a non-200 HTTP status","HTML attribute or attribute value does not match any element in the document","Content exceeds maximum HTML size of 100,000 characters","Too many previous_texts items supplied (over 200)","Term not found within the specified article element"],"whenToPreferThis":"Choose this endpoint when you need fast, lightweight bigram frequency analysis of a specific article element on a publicly accessible static webpage or when you already have the HTML content. Ideal for NLP preprocessing, SEO audits, content pattern research, and text analytics where JavaScript rendering is not required and you need cost-effective per-call pricing at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:35.489Z","isFirstParty":false,"canonicalSlug":"articles-adjacent-word-pair-frequency-analyzer-fe188051"}