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Null Coverage Analytics: String Normalisation + Numeric Distribution
x402
Null Coverage Analytics: String Normalisation + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Analyzes null/missing value coverage in supplied data rows, producing string normalization and numeric distribution reports for the missing_values or total_values field.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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 analytical reports for the supplied rows (up to 200): a string normalization report (covering dataset_group and related string fields) and a numeric distribution report (covering the selected numeric field — missing_values or total_values). Reports are computed locally with no external lookups or predictions.
Example use cases
Data quality audit before pipeline run
“Before I run my ETL pipeline, can you check null coverage on these 120 records — they have row_id, dataset_group, date, missing_values, and total_values columns — and give me both the string normalization and numeric distribution reports on the missing_values field?”
Comparing null rates across dataset groups
“I want to understand how missing values are distributed across my dataset groups. Here are 80 rows with row_id, dataset_group, date, missing_values, and total_values — can you run the string normalization and numeric distribution analysis on the total_values field?”
Monthly null coverage summary for reporting
“I need a monthly null coverage summary for my team report. I have 60 rows of data with dates in October 2026, each with missing_values and total_values counts. Can you produce the string normalization and numeric distribution reports on the missing_values field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-022?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular null coverage records (rows with missing_values and total_values counts) and need two fast, locally-computed analytical reports — string normalization and numeric distribution — in a single call for up to 200 rows. It is ideal for lightweight data quality checks without external lookups or ML predictions.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — request will be rejected or truncated
- Invalid date format (must be YYYY-MM-DD)
- Missing required fields (row_id, dataset_group, date, missing_values, total_values)
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Invalid field enum value — must be 'missing_values' or 'total_values'
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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