{"uid":"cap_HvYQw9K68uRVvpgz14LTO","slug":"sitecheck-keyword-extraction-c378476f","name":"SiteCheck Keyword Extraction","description":"Keywords and keyphrases from a text by RAKE (Rose et al., 2010) in pure code: phrases between stopwords and punctuation, scored by word degree and frequency, with counts. Stopword lists for en, de, fr, es, it, pt, nl and tr. Body { text, language, limit }: up to 100 KB, limit 1 to 50.","url":"https://api.sitecheck-api.workers.dev/api/text/keywords?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string","description":"The text, up to 100 KB (JSON body field)"},"limit":{"type":"string","description":"Keywords to return, 1 to 50, default 10"},"language":{"type":"string","description":"en (default), de, fr, es, it, pt, nl or tr"}}},"responseSchema":{"type":"json","example":{"count":4,"source":"Computed here (RAKE, Rose et al. 2010), stopword list: short original lists per language","keywords":[{"count":1,"score":6.5,"keyword":"machine learning"},{"count":1,"score":5,"keyword":"deep learning"},{"count":1,"score":1,"keyword":"data"}],"language":"en","checkedAt":"2026-10-15T13:48:02.045Z"}},"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_Mp1YqxBCoCKpUDV0YPx9c","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":"Extracts ranked keywords from text using the RAKE algorithm, returning scored keyword phrases with frequency counts","exampleAgentPrompt":"Extract the top 15 keywords from this article text using English stopwords and rank them by relevance score: 'Machine learning and deep learning are transforming how we process data and build intelligent systems that adapt over time.'","exampleUseCases":[{"title":"SEO keyword audit for blog post","prompt":"Pull out the top 20 keywords from this blog post draft so I can check if it's targeting the right search terms — here's the text: 'Cloud computing has revolutionized how businesses store and process data, enabling scalable infrastructure on demand...'"},{"title":"Topic tagging for German content","prompt":"Extract the top 10 keywords from this German product description so I can auto-tag it in our CMS: 'Dieses Smartphone bietet eine hochauflösende Kamera, langen Akku und schnelle Prozessorleistung für anspruchsvolle Nutzer.'"},{"title":"Key phrase mining from customer feedback","prompt":"Analyze this customer review and give me the 5 most important keyword phrases with their scores: 'The delivery was extremely fast but the packaging was damaged and the product instructions were completely missing.'"}],"resultDescription":"Returns a JSON object containing a list of keyword phrases, each with a relevance score (computed via RAKE algorithm) and occurrence count, along with the total keyword count, the detected or specified language, and the timestamp of the analysis.","failureModes":["Text exceeding 100 KB limit may be rejected or truncated","Unsupported language codes return an error or fall back to English","Empty or whitespace-only text returns zero keywords","Limit values outside 1–50 range may be clamped or cause validation errors","Very short texts may yield no meaningful keyword phrases"],"whenToPreferThis":"Choose this endpoint when you need lightweight, fast, pay-per-call keyword extraction without setting up an NLP pipeline. It is ideal for agents processing documents in supported European languages (en, de, fr, es, it, pt, nl, tr) that need scored keyword phrases rather than simple word frequencies. Prefer it over embeddings-based approaches when you need human-readable ranked terms rather than vector representations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:18.837Z","isFirstParty":false,"canonicalSlug":"sitecheck-keyword-extraction-c378476f"}