{"uid":"cap_QswHgGzHsEusdioj78K-E","slug":"fittings-csv-to-json-converter-7bb51a51","name":"fittings CSV to JSON Converter","description":"Parse RFC 4180 CSV into JSON objects keyed by header row, handling quotes and embedded newlines.","url":"https://fittings.sh/v1/fmt/csv-to-json","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","description":"Up to 1000000 characters, 50000 rows, 1024 columns and 500000 cells"},"delimiter":{"type":"string","description":"Single character, defaults to comma"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.0035","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":"$0.0035/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0035","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0035","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_zARrL_FiwqPotomrEuLHK","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.0035","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Parses RFC 4180 CSV text into an array of JSON objects keyed by the header row, correctly handling quoted fields and embedded newlines.","exampleAgentPrompt":"Can you convert this CSV text into JSON objects keyed by the header row? It uses semicolons as delimiters and has some fields with embedded newlines and quotes.","exampleUseCases":[{"title":"ETL pipeline data normalization","prompt":"I have a CSV export from our database with comma-separated values and quoted fields that contain commas — can you parse it into JSON objects so I can load it into our API?"},{"title":"Spreadsheet to API payload conversion","prompt":"Take this tab-delimited CSV I exported from Excel and convert it into JSON — each row should become an object with keys from the header row."},{"title":"Data ingestion with embedded newlines","prompt":"Parse this RFC 4180 CSV into JSON for me; some of the description fields have newlines inside quoted cells, so make sure those are handled correctly."}],"resultDescription":"An array of JSON objects where each object represents one data row from the CSV, with keys taken from the header row and values as strings. Handles up to 1,000,000 characters, 50,000 rows, 1,024 columns, and 500,000 cells. Correctly resolves RFC 4180 quoted fields and embedded newlines.","failureModes":["Malformed CSV that violates RFC 4180 quoting rules may produce unexpected output or an error","Exceeding the size limits (1M chars, 50K rows, 1024 cols, 500K cells) will result in a rejection error","Providing a multi-character delimiter will fail since only single characters are accepted","Empty CSV or CSV with no header row may produce an empty array or an error","Non-UTF-8 encoded CSV may cause parsing failures"],"whenToPreferThis":"Choose this endpoint when you need reliable RFC 4180-compliant CSV parsing that correctly handles quoted fields containing commas and embedded newlines — edge cases that naive string-split approaches miss. It supports large files (up to 1M characters) and custom delimiters, making it suitable for diverse real-world exports. Prefer it over general-purpose code execution or LLM-based parsing when you need deterministic, structured JSON output at scale.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T18:47:37.177Z","isFirstParty":false}