Surf Session Score
We built a Data Quality Scoring API start example below ..or.. skip to Pricing
How It Works: Our Surf Session Story
Imagine you're tracking your surf sessions. You've got wave heights, temperatures, locations, and ratings. But here's the problem:
Location Name | Surf Date | Wave Height (ft.) | Air Temp (F) | Water Temperature (°F) | My Rating |
|---|---|---|---|---|---|
Sunset Beach | 12/11/2025 | 8 | 82 | 72 | 5 |
Tamarack | 12/11/2025 | 4 | 88 | 67 | 3 |
Malibu Point | 12/11/2025 | 3.2 | 86 | 62 | 2 |
Cocoa Beach | 12/11/2025 | 1.5 | 83 | 72 | 1 |
Rocky Cove | 12/11/2025 | 2 | Windy | 21 | 0 |
Wave heights vary wildly – Is that 8-footer at Sunset Beach really comparable to the 1.5-footer at Cocoa Beach?
Rocky Cove shows "Windy" for temperature ❌
Water temp at 21°F? That's ice, not surf!
"This is exactly what happens to your business data every day."
TRY THIS ->
Analyzing your data ...
Our AI-powered Data Quality API will transform your data that analyzes across three critical dimensions:
Overall Score:
0
Overall Score: 84.5 → Your data is good, but not great. We show you exactly what to fix.
Completeness:
90%
Insights
✓ Are all your fields filled in?
✓ Are you making decisions with incomplete information?
Consistency:
75%
Insights
⚠️ Do your formats match across records?
⚠️ Are "Windy" and "82" being stored in the same temperature field?
Validity:
80%
Insights
⚠️ Do your values make sense?
⚠️ Are outliers skewing your analysis?
