{
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  "info": {
    "title": "Lead Data Cleaner, Deduper & Scorer",
    "description": "Turn messy scraped leads into a clean, deduplicated, scored list. Chain after any Google Maps, LinkedIn or directory scraper. No scraping, no email sending, nothing stored.",
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  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "properties": {
          "datasetId": {
            "title": "Dataset",
            "type": "string",
            "description": "The dataset to clean, for example the output of a Google Maps or LinkedIn scraper run. Pick it from your datasets, or pass its ID when calling the Actor through the API. Leave empty if you paste records below."
          },
          "records": {
            "title": "Records (inline)",
            "type": "array",
            "description": "Up to 10,000 records as a JSON array of objects. Use this for small jobs or API calls; use Dataset ID for bigger ones. Common field names (title, email, phone, website, address, city, country, category) are detected automatically."
          },
          "fieldMap": {
            "title": "Field mapping (optional)",
            "type": "object",
            "description": "Only needed if your records use unusual field names. Map your field to one of: name, email, phone, website, address, city, country, category. Example: `{\"Company\": \"name\", \"Tel\": \"phone\"}`."
          },
          "defaultCountry": {
            "title": "Default country",
            "type": "string",
            "description": "Two-letter country code used to read phone numbers written without a country prefix, for example US, GB or DE.",
            "default": "US"
          },
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            "title": "Remove duplicates",
            "enum": [
              "fuzzy",
              "exact",
              "off"
            ],
            "type": "string",
            "description": "Fuzzy also catches near-identical names in the same city (\"Acme Plumbing\" vs \"Acme Plumbng LLC\"). Exact matches only identical website, phone, email or name + city. Duplicates are merged into one record that keeps the most complete data.",
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            "title": "Check email domains (DNS)",
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            "description": "Looks up whether each email's domain can receive mail. This is a DNS check only; the Actor never connects to mail servers or sends anything.",
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            "enum": [
              "general",
              "b2b-outreach",
              "local-business"
            ],
            "type": "string",
            "description": "What a good lead means to you. Every score lists the reasons behind it.",
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            "title": "Drop low-scoring records",
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            "description": "Remove records that score below the minimum score instead of just labelling them.",
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          },
          "minScore": {
            "title": "Minimum score",
            "minimum": 0,
            "maximum": 100,
            "type": "integer",
            "description": "Used only when \"Drop low-scoring records\" is on. 0 to 100.",
            "default": 0
          },
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            "minimum": 1,
            "type": "integer",
            "description": "Optional safety cap on how many input records are read. The Actor processes at most 100,000 records per run."
          }
        }
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            "type": "object",
            "properties": {
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                "type": "string"
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              "actId": {
                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
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                "type": "string",
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              "status": {
                "type": "string",
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              },
              "meta": {
                "type": "object",
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                  "userAgent": {
                    "type": "string"
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              },
              "stats": {
                "type": "object",
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              },
              "options": {
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                  "build": {
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                  "timeoutSecs": {
                    "type": "integer",
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              "defaultKeyValueStoreId": {
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              "defaultDatasetId": {
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              "defaultRequestQueueId": {
                "type": "string"
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              "usage": {
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