Is the Aidatatools Dev Data Quality Gate MCP server down?

• Added "type":"string" to untyped parameters: rawJson. Change to number/boolean/array where that's what you accept. (verify)
• Added readOnlyHint: true (inferred from the name). (verify)

{
  "name": "check_dataset_quality",
  "description": "Call this before using any dataset. Returns a deterministic quality verdict (RELIABLE / USABLE_WITH_CLEANING / UNRELIABLE) with exact facts: completeness, nulls, type consistency, impossible values, duplicates, outliers, and (on financial/trading data) cross-source price divergence. 100% deterministic, no LLM. Free -- this MCP endpoint runs the engine directly; POST /api (plain REST, same engine) is x402-gated at $0.01/call instead. Input: rawJson (a JSON array of row objects, or a single object",
  "inputSchema": {
    "type": "object",
    "properties": {
      "rawJson": {
        "description": "The dataset: a JSON array of row objects, or a single object.",
        "type": "string"
      },
      "datasetId": {
        "type": "string",
        "description": "An Apify dataset id. Not resolvable on this deployment; pass rawJson instead."
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}

• Added "type":"string" to untyped parameters: rawJson. Change to number/boolean/array where that's what you accept. (verify)

{
  "name": "clean_scraped_data",
  "description": "PAID TIER, CALLED FROM A FREE ENDPOINT -- READ THIS FIRST: this tool does NOT return your cleaned data, and its response has NO `data` key. It returns {\"status\": \"payment_required\", \"what_we_found_in_your_data\": {...}, \"get_the_repaired_data\": {...}}. Do not treat its output as cleaned data and do not write it back into your dataset.\nWHAT YOU GET HERE, FREE: an exact inventory of the defects in YOUR data -- which repair rules would fire, how many values each would change, and which cases cannot ",
  "inputSchema": {
    "type": "object",
    "required": [
      "rawJson"
    ],
    "properties": {
      "options": {
        "type": "object",
        "properties": {
          "repair_keys": {
            "type": "boolean",
            "description": "Also repair dict KEYS (the classic '\\ufeffsku' first column of a BOM-prefixed CSV export). Off by default: a key is a contract with everything downstream."
          },
          "trim_whitespace": {
            "type": "boolean",
            "description": "Default true."
          },
          "detect_duplicates": {
            "type": "boolean",
            "description": "Default true. Set false to skip duplicate detection on very large input."
          },
          "placeholder_policy": {
            "enum": [
              "flag",
              "null_high_confidence",
              "null_all"
            ],
            "type": "string",
            "description": "What to do with masked-missing strings. 'flag' (default) reports them and changes nothing. 'null_high_confidence' nulls only tokens that cannot be real data ('N/A', 'null', 'undefined') and never the ambiguous ones ('None' is a surname, 'NA' is Namibia, '-' is a real value). 'null_all' nulls the ambiguous ones too -- only choose this if you know the domain."
          },
          "coerce_numeric_text": {
            "type": "boolean",
            "description": "Turn 'US $5.59' into 5.59. Per field, all-or-nothing, and only where every value is unambiguous -- a lone ',' or a mixed currency disqualifies the whole field rather than being guessed at."
          },
          "drop_exact_duplicates": {
            "type": "boolean",
            "description": "Remove rows byte-identical to an earlier row, compared AFTER cleaning. Off by default because it changes the row count; duplicates are reported either way."
          }
        },
        "description": "All optional. Every default is the safe one: with no options, the row count, every value's type, and the schema are all guaranteed unchanged."
      },
      "rawJson": {
        "description": "The scraper output: a JSON array of row objects, a single object, or a CSV/plain-text string. The format is detected and the output mirrors the shape you sent.",
        "type": "string"
      }
    }
  }
}

• Added "type":"string" to untyped parameters: rawJson. Change to number/boolean/array where that's what you accept. (verify)

{
  "name": "clean_scraped_data_audited",
  "description": "PAID TIER, CALLED FROM A FREE ENDPOINT -- READ THIS FIRST: this tool does NOT return your cleaned data, and its response has NO `data` key. It returns {\"status\": \"payment_required\", \"what_we_found_in_your_data\": {...}, \"get_the_repaired_data\": {...}}. Do not treat its output as cleaned data and do not write it back into your dataset.\nWHAT YOU GET HERE, FREE: an exact inventory of the defects in YOUR data -- which repair rules would fire, how many values each would change, and which cases cannot ",
  "inputSchema": {
    "type": "object",
    "required": [
      "rawJson"
    ],
    "properties": {
      "options": {
        "type": "object",
        "properties": {
          "repair_keys": {
            "type": "boolean",
            "description": "Also repair dict KEYS (the classic '\\ufeffsku' first column of a BOM-prefixed CSV export). Off by default: a key is a contract with everything downstream."
          },
          "trim_whitespace": {
            "type": "boolean",
            "description": "Default true."
          },
          "detect_duplicates": {
            "type": "boolean",
            "description": "Default true. Set false to skip duplicate detection on very large input."
          },
          "placeholder_policy": {
            "enum": [
              "flag",
              "null_high_confidence",
              "null_all"
            ],
            "type": "string",
            "description": "What to do with masked-missing strings. 'flag' (default) reports them and changes nothing. 'null_high_confidence' nulls only tokens that cannot be real data ('N/A', 'null', 'undefined') and never the ambiguous ones ('None' is a surname, 'NA' is Namibia, '-' is a real value). 'null_all' nulls the ambiguous ones too -- only choose this if you know the domain."
          },
          "coerce_numeric_text": {
            "type": "boolean",
            "description": "Turn 'US $5.59' into 5.59. Per field, all-or-nothing, and only where every value is unambiguous -- a lone ',' or a mixed currency disqualifies the whole field rather than being guessed at."
          },
          "drop_exact_duplicates": {
            "type": "boolean",
            "description": "Remove rows byte-identical to an earlier row, compared AFTER cleaning. Off by default because it changes the row count; duplicates are reported either way."
          }
        },
        "description": "All optional. Every default is the safe one: with no options, the row count, every value's type, and the schema are all guaranteed unchanged."
      },
      "rawJson": {
        "description": "The scraper output: a JSON array of row objects, a single object, or a CSV/plain-text string. The format is detected and the output mirrors the shape you sent.",
        "type": "string"
      }
    }
  }
}