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Time Series Completeness — Numeric Distribution + Daily Sum Series
x402
Time Series Completeness — Numeric Distribution + 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 2026-10-15).
Analyzes time series completeness records (observed vs expected data points) to produce a numeric distribution report and a daily sum series report for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Numeric distribution + Daily sum series: Numeric distribution + Daily sum series 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 analytical reports sharing the same input data: (1) a numeric distribution of the selected field (observed_points or expected_points) across all supplied rows, and (2) a daily sum series aggregating the selected field by date — up to 200 rows processed per call.
Example use cases
Data pipeline gap detection
“I've got completeness records for my ETL pipeline across groups 'ingest' and 'transform' from January through March 2026 — each row has how many data points we observed vs expected each day. Run a numeric distribution and daily sum series on the observed_points so I can spot where we had the biggest gaps.”
Multi-group completeness audit
“I have 120 rows of daily completeness data for four dataset groups from Q3 2025, with observed_points and expected_points for each date. Can you produce a numeric distribution and daily sum series report on the expected_points field so I can compare targets across groups?”
Sensor data coverage summary
“Here are 80 rows of sensor telemetry completeness records — each row has a date, a sensor group, and observed vs expected readings. Please analyze the observed_points field and give me a numeric distribution plus a daily sum series showing how coverage varied day by day.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-075?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected time series completeness data (observed vs expected data points by date and group) and need both a numeric distribution and a daily sum series in one call for up to 200 rows. It is a local analytical compute service — ideal when you have the data already and just need fast statistical summaries without any external lookups, predictions, or live data fetching.
Side effects
- Missing required fields (row_id, date, observed_points, expected_points) causes validation failure
- Date values not matching YYYY-MM-DD pattern will be rejected
- Submitting more than 200 rows exceeds the maxItems limit and will be rejected
- Null values in the selected numeric field may affect distribution calculations
- Empty rows array (minItems: 1) will return an error
- Invalid field enum value (must be 'observed_points' or 'expected_points') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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