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Null Coverage Analytics: String Normalisation + Grouped Numeric Summary
x402
Null Coverage Analytics: String Normalisation + Grouped Numeric Summary 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 records by normalizing string fields and producing grouped numeric summaries across up to 200 rows, generating 2 reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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: (1) a string normalization report for the supplied row/group/date fields, and (2) a grouped numeric summary of either missing_values or total_values broken down by dataset_group — covering up to 200 input rows. No external lookups or predictions are included; all analysis uses local computation on supplied data.
Example use cases
Data quality audit by dataset group
“I have a list of 80 dataset records tagged with groups like 'finance' and 'ops', each with a date, row ID, number of missing values, and total values. Can you normalize the string fields and give me a grouped numeric summary of missing_values across those groups?”
Monitoring null rates across data pipelines
“We're tracking null coverage daily across two pipeline groups. Here are 120 rows with row IDs, dates, group names, and missing/total value counts — can you run the string normalization and grouped summary on the total_values field so I can see how each group compares?”
Pre-analysis data completeness check
“Before I run my model, I need to understand my data completeness. I've got 30 rows each with a dataset group, date, missing_values, and total_values. Can you produce both reports — the string normalization and the grouped numeric summary — for the missing_values column?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-023?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular null-coverage or data-completeness records (with missing_values and total_values) and need both string normalization and grouped numeric aggregation in a single low-cost call. Ideal for data quality audits, pipeline monitoring, and pre-analysis completeness checks where you supply the data locally and don't need live data fetches, predictions, or external enrichment. Best for batch sizes up to 200 rows.
Side effects
- Input array exceeds 200 rows — rejected with validation error
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) on any row causes rejection
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- row_id exceeds 80 characters or is empty — validation error
- Field enum value not 'missing_values' or 'total_values' — rejected
- Empty rows array (minItems: 1 violated) causes failure
- Payment of 0.01 USDC not supplied — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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