{"uid":"cap_vCNRS8hJ3f5jnmHR4kagR","slug":"csv-clinic-preflight-csv-validation-cleanup-analyzer-6b828afe","name":"CSV Clinic Preflight — CSV Validation & Cleanup Analyzer","description":"Free CSV cleaner: remove exact duplicate and blank rows, trim whitespace, and download a cleanup report. Files stay in your browser; no upload or account.","url":"https://csv-clinic.bakongi.chatgpt.site/api/csv/preflight?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method","bodyType","body"],"properties":{"body":{"type":"object","required":["csv"],"properties":{"csv":{"type":"string","description":"CSV document, up to 256 KiB."},"delimiter":{"enum":[",",";","tab","|"],"type":"string"}}},"type":{"type":"string","const":"http"},"method":{"enum":["POST"],"type":"string"},"bodyType":{"enum":["json"],"type":"string"}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","properties":{"rows":{"type":"integer"},"status":{"type":"string"},"columns":{"type":"integer"},"valid_csv":{"type":"boolean"}}}}}}},"responseSchema":{"type":"json","example":{"rows":1,"status":"ok","columns":2,"service":"CSV Clinic Preflight API","delimiter":"comma","valid_csv":true,"blank_rows":0,"trimmed_cells":0,"duplicate_rows":0,"empty_header_columns":[],"row_width_mismatches":[],"duplicate_header_groups":[],"row_width_mismatch_count":0}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","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":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_lkv95a9C33M-fJM0zkkbM","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes a raw CSV string and returns a detailed quality report: row/column counts, duplicate rows, blank rows, trimmed whitespace counts, header issues, and row width mismatches.","exampleAgentPrompt":"Can you run a preflight check on this CSV and tell me how many duplicate rows, blank rows, and whitespace issues it has? The data uses a comma delimiter: 'name,age\\nAlice,30\\nAlice,30\\nBob, 25\\n'","exampleUseCases":[{"title":"Pre-import data quality check","prompt":"Before I load this CSV into our database, can you check it for duplicate rows, blank lines, and any columns with missing headers? Here's the data: 'id,name,email\\n1,Alice,alice@example.com\\n1,Alice,alice@example.com\\n2,,bob@example.com\\n'"},{"title":"Spreadsheet export validation","prompt":"I just exported a spreadsheet to CSV and want to know if it's clean — check for row width mismatches, empty header columns, and duplicate rows. The delimiter is semicolon and here's the content: 'product;price;qty\\nWidget;9.99;100\\nGadget;14.99\\nWidget;9.99;100\\n'"},{"title":"Automated ETL pipeline preflight","prompt":"As part of our data pipeline, validate this incoming CSV before processing — tell me the row and column counts, whether it's valid CSV, and flag any blank rows or cells with extra whitespace. Delimiter is pipe: 'city|country|pop\\nParis|France|2161000\\n |France|500000\\nBerlin|Germany|3645000\\n'"}],"resultDescription":"Returns a JSON object with: validity flag (valid_csv), detected delimiter, total row and column counts, number of blank rows, duplicate rows, trimmed cells, list of empty header column indices, list of row width mismatch details, count of row width mismatches, and duplicate header groups. Provides a comprehensive structural audit of the CSV without modifying or storing the data.","failureModes":["CSV exceeds 256 KiB limit — request rejected","Malformed JSON body or missing 'csv' field — 400 error","Delimiter mismatch between specified and actual CSV content — may produce incorrect column counts","Completely empty CSV string — may return zero rows/columns with valid_csv false","Network timeout for very large files near size limit"],"whenToPreferThis":"Choose this endpoint when you need a fast, stateless structural audit of a CSV before importing, transforming, or storing it — especially when you want to detect duplicates, blank rows, whitespace noise, and header anomalies in a single call without uploading the file to a third-party server. Ideal for agent-driven ETL pipelines, pre-import validation steps, or user-facing data quality checks where privacy matters and no data persistence is acceptable.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-03T00:34:31.278Z","isFirstParty":false,"canonicalSlug":"csv-clinic-preflight-csv-validation-cleanup-analyzer-6b828afe"}