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Null Coverage Analytics — Record Quality Audit, String Normalisation & Trailing Mean Series
x402
Null Coverage Analytics — Record Quality Audit, String Normalisation & Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Runs three local analytical reports (record quality audit, string normalisation, and trailing mean series) on null coverage data rows containing missing_values and total_values fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series for supplied null coverage records (missing_values, total_values). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three analytical reports for up to 200 supplied null coverage rows: (1) a record quality audit summarising completeness and issues per row, (2) a string normalisation report for text fields, and (3) a trailing mean series for the selected numeric field (missing_values or total_values) using the specified rolling window. All computed locally with no external lookups.
Example use cases
Daily data pipeline completeness check
“I've got 50 rows from yesterday's pipeline with date, dataset_group, missing_values, and total_values — can you run the full null coverage audit on them, normalise the string fields, and compute the trailing mean of missing_values with a window of 7?”
Dataset group quality comparison
“Can you audit the record quality and run a trailing mean series with window size 3 on these 20 rows of null coverage data across my 'sales' and 'inventory' groups so I can see which group has the most data completeness issues?”
Rolling average of data gaps over time
“I want to track how my missing_values trend has changed over the past month — here are 30 daily rows for group-a, please compute the trailing mean series for missing_values with a window of 5 and include the string normalisation and quality audit reports too.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-199?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous local analytical reports on null coverage data in a single call — specifically record quality auditing, string normalisation, and rolling/trailing mean computation — without requiring any external data lookups or predictions. It is cost-effective at $0.01 USDC for up to 200 rows and three reports. Prefer it over building custom analytics when you have structured null coverage records with date, group, missing_values, and total_values fields and need a quick completeness and trend summary.
Side effects
- Fewer than 1 or more than 200 rows submitted — returns validation error
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) on any row — row rejected or error returned
- Date field not matching YYYY-MM-DD pattern — validation error
- Window value less than 2 or greater than 200 — validation error
- Numeric values outside allowed range (-1e12 to 1e12) — validation error
- Payment not completed via x402 protocol — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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