{
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  "info": {
    "title": "Bulk Email Verifier $1/1k: CSV, Sheets & Datasets",
    "description": "✅ $1 per 1,000 emails, no subscription ✅ Paste a list, pick a lead-scraper dataset, upload a CSV or share a Google Sheet ✅ Keeps every column ✅ Syntax, MX, mailbox, catch-all & disposable checks ✅ Duplicates and non-addresses free ✅ Output to dataset or Google Sheet ✅ Resumable, no double charge",
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  "components": {
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      "inputSchema": {
        "type": "object",
        "properties": {
          "emails": {
            "title": "Email addresses",
            "type": "array",
            "description": "Paste addresses, one per line. You can also leave this empty and use a dataset or a file below. Duplicates are checked once.",
            "items": {
              "type": "string"
            }
          },
          "datasetId": {
            "title": "Dataset from another Actor",
            "type": "string",
            "description": "A dataset that has an email column, for example the output of a LinkedIn or Google Maps lead scraper. Every other column is kept in the output next to the verdict."
          },
          "emailField": {
            "title": "Email column name",
            "type": "string",
            "description": "Name of the field that holds the address in the dataset or file (nested paths like contact.email work). Leave empty to detect it automatically: the first column named like 'email', otherwise the column whose values look like addresses."
          },
          "fileUrl": {
            "title": "CSV / TXT file or Google Sheet",
            "type": "string",
            "description": "Upload a CSV or TXT file (one address per line, or a header row with an email column), paste a public file URL, or paste a Google Sheet link that is shared as 'Anyone with the link can view'. XLSX is not supported: export it as CSV first."
          },
          "outputFilter": {
            "title": "Which rows to output",
            "enum": [
              "all",
              "valid",
              "valid-and-risky"
            ],
            "type": "string",
            "description": "All = every address with its verdict. Valid only = addresses that are safe to send to. Valid and risky = drop only the invalid and disposable ones. Charging is per address verified, not per row output.",
            "default": "all"
          },
          "keepInputFields": {
            "title": "Keep the other columns",
            "type": "boolean",
            "description": "When the addresses come from a dataset or a CSV with more columns (name, company, phone...), copy those columns into each output row. Off = output only the verification fields.",
            "default": true
          },
          "googleSheetUrl": {
            "title": "Google Sheet link (optional)",
            "type": "string",
            "description": "Also write the results into this Google Sheet when the run finishes. Share the sheet as Editor with the service-account address shown in the README of our 'Dataset to Google Sheets Sync' Actor (its run log prints it too); that Actor's small per-row fee applies."
          },
          "googleSheetTab": {
            "title": "Tab name",
            "type": "string",
            "description": "Which tab to write to. Created if missing.",
            "default": "Verified emails"
          },
          "googleSheetMode": {
            "title": "How to write the sheet",
            "enum": [
              "replace",
              "append"
            ],
            "type": "string",
            "description": "Replace = clear the tab and write the fresh results. Append = add the new rows under what is there.",
            "default": "replace"
          },
          "recheckUnknown": {
            "title": "Re-check unknown results once",
            "type": "boolean",
            "description": "Mail servers sometimes answer 'try again later' (greylisting). On = addresses that came back 'unknown' are checked a second time after a short pause, which resolves many of them. This Actor does not charge extra for it.",
            "default": true
          },
          "verificationTimeoutSecs": {
            "title": "Seconds to wait per address",
            "minimum": 2,
            "maximum": 60,
            "type": "integer",
            "description": "How long the mail server is given to answer before the address is reported 'unknown'. 2 to 60. Slow servers may need 30.",
            "default": 15
          },
          "maxConcurrency": {
            "title": "Addresses checked at the same time",
            "minimum": 1,
            "maximum": 50,
            "type": "integer",
            "description": "Higher is faster. 20 is a good default; the speed mostly depends on how quickly the mail servers answer.",
            "default": 20
          },
          "maxEmails": {
            "title": "Max addresses per run",
            "minimum": 1,
            "maximum": 500000,
            "type": "integer",
            "description": "Stop reading input after this many rows. Protects against an accidentally huge dataset. Up to 500,000 per run; above about 200,000 raise the run memory to 1 GB.",
            "default": 100000
          },
          "millionVerifierApiKey": {
            "title": "Your own MillionVerifier API key (optional)",
            "type": "string",
            "description": "If you already have a MillionVerifier account, paste its API key and the checks are paid from your credits; this Actor then charges only a small platform fee per address. Leave empty to use the built-in key."
          }
        }
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              "startedAt": {
                "type": "string",
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              "finishedAt": {
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              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
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                }
              },
              "stats": {
                "type": "object",
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                  "inputBodyLen": {
                    "type": "integer",
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                    "type": "string",
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                    "type": "integer",
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                }
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                "example": 0.00005
              },
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