{"uid":"cap_aX6RFAIT_kMoULmueKZW9","slug":"mx-data-helper-text-clean-a4fb5e55","name":"MX Data Helper - Text Clean","description":"Pay-per-call x402 data services on Base mainnet","url":"https://temporary-prompt-onyx-8ryoe7p.vercel.app/v1/text_clean","method":"POST","headers":{},"bodySchema":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Raw text to clean"}}},"responseSchema":null,"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_EofGSHiWDxTh-tBbIxK_g","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":"Cleans and normalizes raw input text via a pay-per-call API on Base mainnet","exampleAgentPrompt":"Can you clean up this raw text for me? It has weird whitespace, stray characters, and formatting issues: 'Hello,   world!!\\n\\n  This is  a  messy   string...'","exampleUseCases":[{"title":"Preprocess scraped web content","prompt":"I just scraped a bunch of text from a website and it's full of weird line breaks, extra spaces, and junk characters. Can you clean it up so I can run it through my sentiment analyzer?"},{"title":"Sanitize user-submitted form input","prompt":"A user just submitted this comment on our platform and it has weird encoding artifacts and random whitespace everywhere. Can you clean it up before I store it in the database?"},{"title":"Normalize text before embedding","prompt":"I need to clean this raw product description before I generate an embedding for it — it's got inconsistent spacing and stray punctuation that might mess up the vector: 'Premium  Widget   - Model X1!!  \\n\\n  Best in class...'"}],"resultDescription":"Returns cleaned, normalized text with noise, formatting artifacts, extra whitespace, and stray characters removed, ready for downstream processing or storage.","failureModes":["Missing 'text' field in request body returns a validation error","Empty string input may return an empty result or error","Payment failure on Base mainnet blocks the call with a 402 response","Very large text inputs may be rejected or time out","Network or Vercel deployment downtime causes 5xx errors"],"whenToPreferThis":"Use this endpoint when you need a lightweight, pay-per-call text cleaning service with no subscription overhead, especially in agent workflows running on Base mainnet where microtransaction-based billing is acceptable. Prefer this over self-hosted cleaning solutions when you want a simple REST call for quick text normalization without managing infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-16T00:40:57.247Z","isFirstParty":false}