{"uid":"cap_D5NooDIx1TBntx6Sk97Y_","slug":"kihustle-cosine-similarity-bag-of-words-ce6c7270","name":"KiHustle Cosine Similarity (Bag-of-Words)","description":"Kostenlose Guides, Solo-Playbooks und Artikel zu KI, Automation und Side Hustles — für Menschen, die mit echten Systemen online Einkommen aufbauen wollen. Transparent finanziert über faire Affiliate-Links.","url":"https://kihustle.tech/agents/api/v1/cosine-similarity-bow?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"text_a":{"type":"string"},"text_b":{"type":"string"}}},"responseSchema":{"type":"json","example":{"result":"processed","status":"success"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","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":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Id1O5b6_llnlYzb1a9MPi","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes cosine similarity between two text strings using a bag-of-words (BoW) representation","exampleAgentPrompt":"Can you compute the bag-of-words cosine similarity between these two texts: 'Machine learning models require large datasets' and 'Deep learning needs lots of training data'?","exampleUseCases":[{"title":"Duplicate content detection","prompt":"Check how similar these two product descriptions are using bag-of-words cosine similarity — text A: 'Wireless noise-cancelling headphones with 30-hour battery life' and text B: 'Bluetooth headphones with active noise cancellation and long battery'."},{"title":"Resume vs job description matching","prompt":"Score the similarity between this resume summary and job posting using cosine similarity — resume: 'Experienced Python developer with ML and data pipeline skills', job: 'We need a software engineer proficient in Python and machine learning workflows'."},{"title":"Paraphrase detection for QA pairs","prompt":"Tell me the cosine similarity score between these two questions so I can check if they're duplicates: 'How do I cancel my subscription?' and 'What's the process to end my membership?'"}],"resultDescription":"Returns a JSON object with a similarity score (cosine similarity between 0 and 1) derived from bag-of-words vector representations of the two input texts, along with a success status flag.","failureModes":["Empty or missing text_a or text_b fields may return an error or zero similarity","Very long texts may time out or produce unexpected results","Non-string input types will likely cause a validation error","Identical texts always return 1.0; completely disjoint vocabularies return 0.0 which may be misleading","The generic response schema ({result, status}) may not expose the numeric score directly — caller must parse carefully"],"whenToPreferThis":"Use this endpoint when you need a lightweight, fast, lexical text similarity score without embedding model overhead. It is ideal for quick deduplication checks, keyword-overlap scoring, or scenarios where semantic nuance is less important than token-level overlap. Prefer this over embedding-based similarity when cost, latency, or simplicity matters most, and when the texts share common vocabulary.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:44:29.578Z","isFirstParty":false,"canonicalSlug":"kihustle-cosine-similarity-bag-of-words-ce6c7270"}