{"uid":"cap_amkqe1hHU1lcWWSo-LgNw","slug":"csv-header-extractor-0f6c4e51","name":"CSV Header Extractor","description":"Machine-callable x402-paid utilities for autonomous agents.","url":"https://creator-desk-x402-isolated.onrender.com/v1/utility/csv-header-extract?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"value":{},"options":{"type":"object"}}},"responseSchema":{"type":"json","example":{"result":"example","operation":"csv_header_extract"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_CHmyGji3riryZRBDOvd3S","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts the header row (column names) from a CSV file or CSV-formatted string","exampleAgentPrompt":"Can you pull out the column headers from this CSV data I have? Here's the content: 'name,age,email\\nAlice,30,alice@example.com\\nBob,25,bob@example.com'","exampleUseCases":[{"title":"Inspect unknown CSV structure","prompt":"I just received a CSV export from our database and I don't know what columns it has — can you extract the headers from this CSV text so I can see what fields are included? Here's the raw content: 'customer_id,first_name,last_name,purchase_date,amount'"},{"title":"Automate ETL pipeline validation","prompt":"Before we run the data pipeline, I need to verify that this incoming CSV has all the expected columns — can you extract the header row from this CSV string so I can check it against our schema?"},{"title":"Summarize uploaded spreadsheet fields","prompt":"A user just uploaded a CSV file to our app and I need to show them a list of the columns it contains — can you parse out the header names from this CSV content: 'product_id,sku,title,price,stock_quantity,category'?"}],"resultDescription":"Returns a JSON object containing the extracted header fields (column names) from the provided CSV data, along with an operation identifier confirming the csv_header_extract operation was performed.","failureModes":["Malformed or empty CSV input may return an error or empty result","Missing 'value' field in request body returns a validation error","Non-CSV content passed as input may produce unexpected or empty headers","Network timeout on the Render-hosted service during cold starts","Payment failure via x402 protocol results in 402 response before processing"],"whenToPreferThis":"Use this endpoint when you need a quick, pay-per-use, agent-friendly extraction of CSV column names without setting up a local parser. Ideal for autonomous agents operating in x402 micropayment environments that need lightweight CSV introspection on demand.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-13T00:41:20.188Z","isFirstParty":false,"canonicalSlug":"csv-header-extractor-0f6c4e51"}