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Time Series Completeness — Grouped Numeric Summary + Numeric Row Ordering
x402
Time Series Completeness — Grouped Numeric Summary + Numeric Row Ordering 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 numeric row ordering report for up to 200 rows of observed vs. expected data points.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Grouped numeric summary + Numeric row ordering: Grouped numeric summary + Numeric row ordering 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 breaking down the selected field (observed_points or expected_points) by dataset_group with statistics such as count, mean, min, max, and sum; and (2) a numeric row ordering that ranks all input rows by the selected numeric field. Both reports are computed locally from the supplied data, with no external lookups or predictions.
Example use cases
Daily pipeline completeness audit
“I need to audit my daily data pipeline — can you group and numerically rank these completeness records by dataset group? I have rows for sensor-feed-A and sensor-feed-B across the past week, with observed and expected point counts for each day.”
Identifying under-reporting groups
“Which of my dataset groups is most under-reporting data? Here are 50 rows of observed vs. expected point counts by group and date — please summarize by group and order the rows numerically so I can spot the worst offenders.”
Pre-release data coverage check
“Before we ship the model, can you run a grouped numeric summary and row ordering on these completeness records? I have 120 rows covering group-alpha and group-beta with observed_points and expected_points for each date in Q3.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-087?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two specific local analytics — grouped numeric summary and numeric row ordering — applied to time series completeness data (observed vs. expected points) without requiring any external data lookup, prediction, or live data access. It is ideal when you already have the completeness records in hand and want a cost-effective ($0.01 USDC for both reports) statistical breakdown by group and a ranked ordering of rows. Prefer alternatives if you need string normalization, deduplication, category frequency counts, or more than 200 rows.
Side effects
- Fewer than 1 row submitted — returns validation error
- More than 200 rows submitted — request rejected due to row limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, dataset_group, date, observed_points, expected_points) — validation error
- Non-numeric values for observed_points or expected_points outside allowed range — rejected
- Invalid field enum value (must be 'observed_points' or 'expected_points') — schema error
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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