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Null Coverage Analytics: Duplicate Key Report + Daily Sum Series
x402
Null Coverage Analytics: Duplicate Key Report + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Analyzes user-supplied null coverage records (missing_values, total_values) to produce a duplicate key report and a daily sum series, using local analytical engines with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Duplicate key report + Daily sum series: Duplicate key report + Daily sum series 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 independent analytical reports: (1) a duplicate key report identifying rows sharing the same row_id, and (2) a daily sum series aggregating the selected field (missing_values or total_values) by date. Results cover up to 200 input rows and are computed entirely from the supplied data with no external data sources.
Example use cases
Auditing data pipeline null coverage
“I've got a batch of null coverage records from my ETL pipeline with row IDs, groups, and dates — run a duplicate key report and daily sum series on the missing_values field so I can spot any key conflicts and see how missing values trend day by day.”
Data quality check before model training
“Before I train my model, I need to validate my dataset: here are 150 rows with row_id, dataset_group, date, missing_values, and total_values — please give me a duplicate key report and a daily sum series on total_values to catch any issues.”
Monitoring coverage gaps across dataset groups
“Can you analyze these coverage records across my dataset groups and dates — I need both a duplicate key detection report and a daily aggregated sum of missing_values to understand where gaps are clustering over time?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-060?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of null coverage data and need both duplicate key detection and a daily sum time-series in a single low-cost call ($0.01 USDC). It is ideal for data quality audits, pre-processing validation, and coverage gap analysis where no external lookup or prediction is needed — all computation is local and deterministic.
Side effects
- Input array is empty or exceeds 200 rows — validation error returned
- Missing required fields (row_id, date, missing_values, total_values) on any row — schema validation failure
- Date field does not match YYYY-MM-DD pattern — rejected with pattern validation error
- Numeric fields out of allowed range (±1,000,000,000,000) — validation error
- Invalid field enum value (not missing_values or total_values) — rejected
- Payment not processed (x402 protocol failure) — request not fulfilled
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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