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Null Coverage Analyzer — Category Frequencies & Missing Value Fill
x402
Null Coverage Analyzer — Category Frequencies & Missing Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Computes category frequencies and fills missing values (via zero, mean, or median) for null-coverage records supplied as row data, producing two local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Category frequencies + Explicit missing-value fill: Category frequencies + Explicit missing-value fill for supplied null coverage records (missing_values, total_values). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two local analytical reports: (1) a category frequency breakdown showing how often each dataset_group appears in the supplied rows, and (2) an explicit missing-value fill report where null entries in the chosen field (missing_values or total_values) are replaced using the selected method (zero, mean, or median). No external lookups or predictions are performed.
Example use cases
Data quality audit by group
“I have 150 rows of dataset records across groups 'finance' and 'ops', each with a date, missing_values, and total_values. Can you compute the category frequencies showing how often each group appears and fill in any null missing_values using median?”
Zero-fill imputation for pipeline
“Before I feed this batch of 80 rows into my pipeline, I need any null total_values replaced with zero and a frequency breakdown of which dataset_group each row belongs to — can you run that analysis?”
Mean imputation for completeness report
“I've got 60 daily records across three dataset groups with some missing_values entries that are null. Please fill those nulls using mean imputation and give me the category frequency distribution across the groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-112?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 tabular rows of null-coverage data (missing_values + total_values per group/date) and need both a category frequency distribution AND a missing-value imputation (zero, mean, or median) in a single $0.01 call. It is ideal for lightweight, local data-quality audits without any external API calls, predictions, or professional assessments. Prefer it over general-purpose analytics when you specifically need null-coverage metrics grouped by dataset_group with explicit fill.
Side effects
- Rows array is empty or missing — validation error
- More than 200 rows supplied — rejected with max-items error
- missing_values or total_values outside allowed numeric range — rejected
- date field not in YYYY-MM-DD format — pattern validation failure
- Invalid fill method or field enum value — schema validation error
- row_id missing or empty string — minLength validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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