{"uid":"cap_WqqT8Hg1IwZGHw0mTDPQu","slug":"kihustle-data-pivot-table-804984de","name":"KiHustle Data Pivot Table","description":"Kostenlose Guides, Solo-Playbooks und Artikel zu KI, Automation und Side Hustles — für Menschen, die mit echten Systemen online Einkommen aufbauen wollen. Transparent finanziert über faire Affiliate-Links.","url":"https://kihustle.tech/bot-bazaar/api/v1/data-pivot-table?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"row_key":{"type":"string"},"csv_text":{"type":"string"},"column_value":{"type":"string"}}},"responseSchema":{"type":"json","example":{"result":"processed","status":"success"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","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":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_J0cxPNvirf9_0l0oPk8SW","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Transforms CSV text data into a pivot table by grouping rows and columns by specified keys","exampleAgentPrompt":"Can you pivot this CSV data for me — group it by 'category' as the row key and 'revenue' as the column value? Here's the CSV: name,category,revenue\\nWidget A,Electronics,500\\nWidget B,Clothing,300\\nWidget C,Electronics,700","exampleUseCases":[{"title":"Sales data summarization by category","prompt":"I have a CSV of sales records with columns for product, region, and sales amount. Can you pivot it using 'region' as the row key and 'sales_amount' as the column value so I can see totals per region?"},{"title":"Survey response cross-tabulation","prompt":"Here's a CSV of survey responses with columns for respondent_id, question, and answer. Pivot it by 'question' as the row key and 'answer' as the column value so I can see the distribution of answers per question."},{"title":"Expense report aggregation by department","prompt":"I've got a CSV of company expenses with department, expense_type, and amount columns. Can you pivot this by 'department' as the row key and 'amount' as the column value to get a breakdown per department?"}],"resultDescription":"Returns a JSON object with a 'result' field (the pivot table data) and a 'status' field indicating 'success' or failure. The pivot table organizes the input CSV data according to the specified row_key and column_value dimensions.","failureModes":["Malformed or unparseable CSV text may result in an error response","Missing required fields (row_key, csv_text, or column_value) may cause processing failure","CSV with no matching row_key or column_value columns returns an error","Very large CSV payloads may time out or be rejected","Non-existent column names silently fail or return empty pivot results"],"whenToPreferThis":"Choose this endpoint when you need to quickly pivot raw CSV text data into a grouped summary table using specified row and column dimensions, without setting up a full data analytics stack. It is best suited for lightweight, on-demand CSV pivoting tasks where the input fits in a single POST body and results are needed fast.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-13T18:58:56.031Z","isFirstParty":false,"canonicalSlug":"kihustle-data-pivot-table-220503fe"}