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Time Series Completeness — Grouped Numeric Summary & Keyed Dataset Comparison
x402
Time Series Completeness — Grouped Numeric Summary & 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 2026-10-15).
Analyzes time series completeness records by producing a grouped numeric summary and a keyed dataset comparison report for observed vs. expected data points across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Grouped numeric summary + Keyed dataset comparison: Grouped numeric summary + Keyed dataset comparison for supplied time series completeness records (observed_points, expected_points). 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 grouped numeric summary aggregating observed_points or expected_points statistics (e.g. count, mean, min, max) broken down by dataset_group, and (2) a keyed dataset comparison that identifies row-level differences between the primary and comparison datasets, all computed locally without external lookups.
Example use cases
Daily pipeline completeness audit by group
“I have 150 rows of daily sensor completeness data with observed and expected readings, grouped by region. Can you give me a grouped numeric summary and compare it against last week's snapshot using the observed_points field?”
Comparing two ETL run outputs
“We ran two ETL jobs and I want to see where their completeness records differ — I have both datasets with row IDs, groups, dates, and observed vs expected points. Run a grouped summary and a keyed comparison between them using the expected_points field.”
Detecting coverage gaps across data groups
“I've got about 80 rows of time series completeness records split across four dataset groups. Can you summarize the observed_points numerically by group and compare the two dataset versions to highlight any discrepancies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-098?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a grouped statistical summary AND a side-by-side keyed comparison of two time series completeness datasets in a single API call at minimal cost ($0.01 USDC for both reports). It is ideal for data engineers validating ETL pipeline outputs, monitoring data coverage by group over time, or comparing two dataset snapshots for drift — especially when you have up to 200 pre-aggregated completeness records already structured with observed and expected point counts.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, observed_points, expected_points) cause validation errors
- Date strings not matching YYYY-MM-DD pattern will fail schema validation
- Null numeric values may affect aggregation accuracy in grouped summary
- Mismatched row_ids between primary and comparison datasets may reduce keyed comparison coverage
- Payment failure via x402 protocol prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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