{"uid":"cap_ydXbL_bUZ4HKQjp4jy1mU","slug":"json-and-data-tools-csv-to-json-parser-800bd4df","name":"JSON and Data Tools – CSV to JSON Parser","description":"Parse CSV text (quotes, escaped quotes, embedded commas and newlines) into JSON rows, detecting the delimiter.","url":"https://json-data-tools.x402tookit.com/csv-parse?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET"],"type":"string"},"queryParams":{"type":"object","required":["csv"],"properties":{"csv":{"type":"string","description":"CSV text with a header row, up to 4000 chars"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","properties":{"asOf":{"type":["null","string"]},"source":{"type":["null","string"]},"columns":{"type":["array","null"],"items":{"type":"string"}},"reasons":{"type":["array","null"]},"records":{"type":["array","null"],"items":{"type":"object","properties":{"name":{"type":["null","string"]},"note":{"type":["null","string"]}}}},"summary":{"type":["null","string"]},"verdict":{"type":["null","string"]},"degraded":{"type":["boolean","null"]},"rowCount":{"type":["null","number"]},"delimiter":{"type":["null","string"]},"disclaimer":{"type":["null","string"]},"notChecked":{"type":["array","null"],"items":{"type":"string"}},"raggedRows":{"type":["null","number"]}}}}}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.02","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":"$0.02/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_UenF-nYsXGt3aGSdq-0Sb","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.02","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Parses CSV text (with quotes, escaped quotes, embedded commas, and newlines) into JSON rows, auto-detecting the delimiter and returning column names, records, and row count.","exampleAgentPrompt":"Can you parse this CSV text into JSON rows for me? It has a header row and some fields with commas inside quoted values: 'name,city,note\\n\"Smith, John\",\"New York\",\"loves coffee\"\\n\"Doe, Jane\",\"Los Angeles\",\"works remotely\"'","exampleUseCases":[{"title":"ETL pipeline CSV ingestion","prompt":"I have this CSV export from our database with quoted fields and embedded commas — can you parse it into JSON records so I can load it into the next stage of my pipeline? Here's the text: 'product,price,description\\n\"Widget A\",\"9.99\",\"small, red widget\"\\n\"Widget B\",\"14.99\",\"large, blue widget\"'"},{"title":"Spreadsheet data to API payload","prompt":"Our marketing team sent me a CSV with campaign data — can you convert it to JSON rows so I can POST each record to our API? The CSV is: 'campaign,budget,region\\nSummer Sale,5000,Northeast\\nFall Push,3000,\"South, Southeast\"'"},{"title":"Debugging ragged or malformed CSV","prompt":"I've got a CSV that I think has some ragged rows or weird quoting — can you parse it into JSON and tell me how many rows came out and whether any were ragged? The data is: 'id,value,label\\n1,\"hello, world\",test\\n2,42\\n3,99,\"escaped \\\"quote\\\" here\"'"}],"resultDescription":"Returns a JSON object containing: an array of column names, an array of record objects keyed by column header, the total row count, the detected delimiter character, a count of ragged (malformed) rows, and optional source/summary metadata. Each record maps column names to cell values.","failureModes":["CSV text exceeds 4000 character limit — endpoint may truncate or reject input","No header row present — column names will be auto-generated or parsing will be incorrect","Ambiguous delimiter (e.g. both commas and tabs present) — auto-detection may choose wrong delimiter","Severely malformed CSV with unclosed quotes — may produce ragged row count or partial parse","Empty input — returns empty columns and records arrays","Non-UTF-8 encoded content passed as string — may produce garbled cell values"],"whenToPreferThis":"Choose this endpoint when you have raw CSV text (up to 4000 chars) that needs to be parsed into structured JSON records, especially when the input may contain quoted fields, embedded commas, embedded newlines, or escaped quotes that naive string splitting would mishandle. It is ideal for lightweight, per-call CSV-to-JSON conversion within an agent workflow without requiring a full data processing library. Prefer alternatives if your CSV exceeds 4000 characters, requires streaming, or needs schema validation beyond parsing.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:12:44.940Z","isFirstParty":false,"canonicalSlug":"json-and-data-tools-csv-to-json-parser-800bd4df"}