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Time Series Completeness — Category Frequencies + Numeric Interval Filter
x402
Time Series Completeness — Category Frequencies + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Analyzes time series completeness records by computing category frequencies across dataset groups and filtering rows by a numeric interval on observed or expected points, returning two local analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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: (1) a category frequency table showing how many rows belong to each dataset_group, and (2) a filtered subset of input rows where the selected numeric field (observed_points or expected_points) falls within the specified minimum–maximum interval. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Data pipeline completeness audit by group
“I have daily completeness logs for my data pipelines — each row has a date, a dataset_group like 'sales' or 'inventory', plus observed_points and expected_points. Can you show me how frequently each group appears and then filter down to rows where observed_points is between 50 and 500?”
Spotting sparse time series windows
“Here are 150 rows of time series completeness records across several dataset groups. I want to see the category frequency breakdown by group, and also filter for rows where expected_points falls between 1 and 20 so I can spot the sparsest windows.”
Monitoring sensor coverage gaps
“I've got completeness data for 4 sensor groups over the past quarter — each row has a date, group name, how many points were observed, and how many were expected. Give me the group frequency counts and filter the rows where observed_points is between 0 and 10 so I can see where coverage is lowest.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-101?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two quick, offline analytical views on time series completeness data in a single paid call: a group-level frequency distribution and a numeric range filter. It is ideal when you already have the rows in hand and want local computation without any external data fetching, prediction, or professional assessment. Prefer it over separate analytics calls when your dataset fits within 200 rows and you want both reports bundled for $0.01 USDC.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, observed_points, expected_points) cause row-level errors
- Invalid date format (not YYYY-MM-DD) may cause parsing failures
- minimum greater than maximum produces an empty interval filter result
- Null values in observed_points or expected_points may be excluded from interval filtering
- Payment of 0.01 USDC not completed — endpoint returns 402 status
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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