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Null Coverage Trailing Mean Series + Keyed Dataset Comparison
x402
Null Coverage Trailing Mean Series + Keyed Dataset Comparison 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).
Computes a trailing mean time series and a keyed dataset comparison for up to 200 rows of null coverage data (missing_values, total_values), delivering two analytical reports in a single call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Trailing mean series + Keyed dataset comparison: Trailing mean series + Keyed dataset comparison 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 trailing mean time series showing how the selected field (missing_values or total_values) evolves over dates across up to 200 rows, and (2) a keyed dataset comparison that contrasts the primary rows against the comparison (other) rows grouped by dataset_group identifiers. Both reports are computed locally without external lookups.
Example use cases
Weekly data completeness trend report
“I have 90 rows of daily null coverage records with missing_values and total_values per dataset_group. Can you compute a trailing mean of missing_values over time and show me how the trend looks across weeks?”
Comparing null rates between pipeline versions
“I want to compare null coverage between my old pipeline output and new pipeline output — both have about 80 rows with date, dataset_group, missing_values, and total_values. Run a keyed comparison on total_values so I can see where the new version differs.”
Data quality audit across groups
“For my data quality audit, I need a trailing mean series and a group-by comparison of missing_values across two dataset snapshots — each has around 120 rows tagged by dataset_group and date. Can you give me both reports in one shot?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-153?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a temporal trailing mean analysis and a side-by-side keyed comparison of null coverage metrics in a single affordable call. It is ideal for data quality workflows where you want to track missing value trends over time and simultaneously benchmark two dataset versions or groups, without needing external lookups, predictions, or live data connections.
Side effects
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) cause validation errors
- Submitting more than 200 rows exceeds the maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in numeric fields may affect trailing mean calculations if all values in a window are null
- Mismatched row_ids between primary and other datasets may reduce comparison coverage
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| window | integer |
Tags
x402
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