Data Quality Gate - deterministic post-scrape cleaner + verdict

Connect Remote server

claude mcp add --transport http data-quality-gate https://www.aidatatools.dev/api/mcp_server

{
  "mcpServers": {
    "data-quality-gate": {
      "url": "https://www.aidatatools.dev/api/mcp_server"
    }
  }
}

{
  "servers": {
    "data-quality-gate": {
      "type": "http",
      "url": "https://www.aidatatools.dev/api/mcp_server"
    }
  }
}

Settings > Connectors > Add custom connector
URL: https://www.aidatatools.dev/api/mcp_server

Tools 3 found in our last check

• check_dataset_quality

  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 diverge…

• clean_scraped_data

  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…

• clean_scraped_data_audited

  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…

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