{"uid":"cap_Cjdl2ZYTVbdSpfIIdHM5S","slug":"csv-data-inspector-7f57674c","name":"CSV Data Inspector","description":"Inspect CSV data for shape, types, missing values, duplicates, and malformed rows.","url":"https://autonomy-api-network.onrender.com/v1/csv-inspect","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","description":"CSV text including a header row"},"delimiter":{"type":"string","maxLength":1,"minLength":1}}},"responseSchema":{"type":"json","example":{"data":{"rowCount":2,"delimiter":",","columnCount":2,"duplicateRows":0}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.003","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":"$0.003/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_dBT92K-CZEEyxEuiC8XoK","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.003","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Inspects CSV text for shape, column types, missing values, duplicates, and malformed rows.","exampleAgentPrompt":"Can you inspect this CSV data for me — check the shape, column types, missing values, and any duplicate or malformed rows? The delimiter is a comma.","exampleUseCases":null,"resultDescription":"Returns a structured report covering: detected shape (rows x columns), inferred column data types, counts of missing values per column, duplicate row count, and a list of malformed or unparseable rows.","failureModes":["CSV text is empty or missing — likely returns a 400 error","Delimiter is not exactly one character — rejected by schema validation","CSV has no header row — may produce incorrect type inference or an error","Extremely large CSV text may hit payload size limits","Malformed binary or non-text content passed as CSV — parsing failure"],"whenToPreferThis":"Use this endpoint when you need a quick, structured data-quality profile of raw CSV text before importing or processing it — especially to catch missing values, type inconsistencies, duplicates, and bad rows without writing custom parsing logic.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T06:31:05.408Z","isFirstParty":false}