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Null Coverage Grouped Numeric Summary & Secondary-Measure Weighted Mean
x402
Null Coverage Grouped Numeric Summary & Secondary-Measure Weighted Mean 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 grouped numeric summaries and secondary-measure weighted means for null coverage data (missing_values, total_values) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Grouped numeric summary + Secondary-measure weighted mean: Grouped numeric summary + Secondary-measure weighted mean 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
Two independent analytical reports: (1) a grouped numeric summary (aggregated statistics such as count, sum, mean, min, max per dataset_group for the specified field), and (2) a secondary-measure weighted mean (weighted average of the primary field using the other measure as weights), computed locally with no external lookups — all for up to 200 supplied null coverage rows.
Example use cases
Data pipeline completeness audit
“I have a list of 50 dataset records with missing_values and total_values across two groups — 'raw_ingest' and 'transformed' — can you group them and give me a numeric summary plus weighted mean of missing_values so I can see which pipeline stage has the worst null coverage?”
Weekly data quality report by team
“Every Monday I collect null coverage stats for datasets owned by team-a and team-b. Here are 120 rows with row_id, dataset_group, date, missing_values, and total_values — can you compute a grouped summary and secondary-measure weighted mean on total_values so I can report which team's datasets are cleanest?”
Compare null rates across experiment variants
“I ran an experiment with two variants — 'control' and 'treatment' — and recorded missing_values and total_values for 80 observations. Can you group by dataset_group and give me both a numeric summary and a weighted mean for the missing_values field so I can compare null coverage between variants?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-096?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need grouped aggregate statistics and weighted mean analytics specifically for null coverage records (missing_values, total_values) and want two report types in one $0.01 call. Prefer it over general statistics APIs when your data already fits the null-coverage schema and you want cost-efficient, offline computation without external lookups or predictions.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Field value outside allowed numeric range (-1e12 to 1e12) causes schema rejection
- Empty rows array returns a minItems validation error
- Payment not included or insufficient USDC causes 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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