Raw Data
  | GoldenCheck   -- profile & discover quality issues
  | GoldenFlow    -- fix issues, standardize, reshape
  | GoldenMatch   -- deduplicate, match, create golden records
  v
Golden Records

pip install goldenpipe

import goldenpipe as gp

result = gp.run("customers.csv")

print(result.status)        # "success"
print(result.check)         # Quality findings
print(result.transform)     # What was fixed
print(result.match)         # Deduplicated clusters
print(result.reasoning)     # Why each decision was made

goldenpipe run customers.csv                # Full pipeline
goldenpipe run customers.csv --verbose      # Show reasoning
goldenpipe run customers.csv --skip-flow    # Check + Match only
goldenpipe run customers.csv --strategy pprl  # Force privacy mode
goldenpipe run customers.csv -o golden.csv  # Save golden records

{
  "mcpServers": {
    "goldenpipe": {
      "url": "https://goldenpipe-mcp-production.up.railway.app/mcp/"
    }
  }
}

pip install goldenpipe[mcp]
goldenpipe mcp-serve