{"uid":"cap_W9pACzOqPWMlE5DZYGfXd","slug":"nexusapi-ai-text-similarity-024bfe0d","name":"NexusAPI AI Text Similarity","description":"Crypto, AI, Social Media, Finance, Weather, Tools & more. Pay per call in USDC on Base. No API keys.","url":"https://nexus-api-peach-nine.vercel.app/api/ai/similarity?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"query":{"type":"string","description":"Search query or input parameter"}}},"responseSchema":{"type":"object","description":"API response data"},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.097567","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":"$0.097567/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.097567","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.097567","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm__69dFH2m3HigCMlazrqcp","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.097567","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes semantic similarity between a query string and other content using AI-based comparison","exampleAgentPrompt":"How semantically similar is the sentence 'the cat sat on the mat' to 'a feline rested on a rug'? Give me a similarity score using AI.","exampleUseCases":[{"title":"Customer support ticket categorization","prompt":"I've got a pile of support tickets coming in and I need to figure out which ones are similar to known issues. Can you score how semantically close each new ticket is to our common problem templates so we can auto-route them?"},{"title":"Content moderation across social feeds","prompt":"We're moderating user-generated content at scale and need to flag posts that are semantically similar to previously banned content. Score how close new submissions are to our blocked content library so I can catch policy violations."},{"title":"Financial market news relevance ranking","prompt":"I'm tracking cryptocurrency news and I want to know which articles are actually relevant to specific coins or trading pairs. Score how semantically similar each news headline is to our watchlist topics so I can surface the most relevant stories."}],"resultDescription":"Returns a JSON object containing a similarity score or ranking indicating how semantically close the input query is to the compared content, likely as a numeric value between 0 and 1.","failureModes":["Missing or empty query field returns validation error","Extremely long text inputs may be truncated or rejected","Payment not included or insufficient USDC causes 402 response","Ambiguous or very short queries may produce low-confidence scores","Network timeout on the Vercel deployment under load"],"whenToPreferThis":"Use this endpoint when you need a quick, pay-per-call semantic similarity computation without managing API keys or model infrastructure. Best suited for single-query similarity scoring in AI agent pipelines that already use x402 USDC payments on Base.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:42:55.723Z","isFirstParty":false,"canonicalSlug":"nexusapi-ai-text-similarity-024bfe0d"}