{"uid":"cap_oJuYX0vh_RSbdVz5O-drQ","slug":"ciel-m2m-data-clean-api-3a68a70c","name":"CIEL M2M Data Clean API","description":"50+ micro-services for AI agents: data parsing, crypto analytics, security scanning, code tools, and more. Pay per call via x402 (USDC on Base) or RapidAPI subscription.","url":"https://169.58.38.67.sslip.io/api/data-clean","method":"GET","headers":{},"bodySchema":{"type":"object","properties":{"properties":{"type":"string"}}},"responseSchema":{"type":"json","example":{"result":"data"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.03","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":"$0.03/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_HAYPV1YSzpySY21OchKnF","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.03","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 data payloads, removing noise and standardizing format for downstream processing.","exampleAgentPrompt":"Can you clean up this raw data I have — it's got inconsistent formatting and noisy fields — and give me back a normalized, usable result?","exampleUseCases":[{"title":"Preprocessing survey responses","prompt":"I've got a batch of survey responses with inconsistent capitalization, extra whitespace, and garbled entries — can you clean them up so I can analyze them properly?"},{"title":"Sanitizing user-submitted form data","prompt":"Before I store these user form submissions in my database, can you clean the data to remove malformed values and normalize the field formats?"},{"title":"Normalizing scraped web data","prompt":"I scraped product listings from a few different sites and the data is all over the place — can you clean and standardize it so I can compare prices and attributes consistently?"}],"resultDescription":"A JSON object containing a 'result' field with the cleaned and normalized version of the submitted data, ready for downstream use.","failureModes":["Missing or malformed 'properties' input parameter returns an error or empty result","Highly unstructured or binary data may not be cleanable and could return a generic fallback","Payment failure via x402/USDC on Base will block the request before processing","Rate limiting or network issues with the raw IP/sslip.io host may cause timeouts"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, pay-per-call data cleaning micro-service that integrates with x402 USDC payments on Base. It is well-suited for agents that process small, discrete data payloads and need fast normalization without standing up a full ETL pipeline. Best used as a preprocessing step before analysis, storage, or AI inference.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-18T07:02:46.139Z","isFirstParty":false}