Tabular

Data Quality Analysis

Analyze and report on data quality metrics

510K runs

Note: This playground provides simulated output to showcase functionality. No input data is processed or stored on our servers. Use this demo to explore the feature extractor's capabilities before integrating it into your application.

Input

Text Input string

Enter the text you want to process

# metrics array

Quality metrics to compute. Default: completeness,consistency,accuracy,uniqueness

# include_suggestions boolean

Whether to include improvement suggestions. Default: true

Output

{
  "quality_metrics": {
    "completeness": 0.98,
    "consistency": 0.95,
    "accuracy": 0.92,
    "uniqueness": 0.99
  },
  "issues": [
    {
      "column": "email",
      "type": "completeness",
      "severity": "medium",
      "count": 15,
      "suggestion": "Implement email validation"
    }
  ],
  "overall_score": 0.96
}

Ready to run Data Quality Analysis on your data? Spin it up in Studio — no infra to host.

Run this in Studio

Already have embeddings? Skip extraction — search your own vectors with MVS. First 1M vectors free.

Try MVS →