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Time Series Completeness — String Normalisation & Numeric Interval Filter
x402
Time Series Completeness — String Normalisation & 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 2026-10-28).
Normalises dataset group strings and filters time series completeness records (observed_points, expected_points) by a numeric interval, returning up to 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — String normalisation + Numeric interval filter: String normalisation + 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 up to 2 analytical reports: one applying string normalisation to dataset_group labels and one filtering the submitted completeness rows (observed_points or expected_points) to only those within the specified minimum–maximum numeric interval, across up to 200 input rows.
Example use cases
Filter incomplete sensor readings by range
“I have 50 daily sensor completeness records with observed_points and expected_points from January 2025. Can you normalize the dataset group names and give me a report showing only the rows where observed_points falls between 10 and 100?”
Audit data pipeline completeness gaps
“Here are my data pipeline completeness logs for Q3 — each row has a date, a group name, and observed vs expected point counts. Run string normalization on the group labels and filter down to rows where expected_points is between 0 and 500.”
Quality check for time series batch upload
“Before I submit this batch of 150 time series completeness rows, can you normalize the dataset_group strings and flag any rows where observed_points is outside the range of 1 to 200? I want two separate reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-026?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, offline analytical processing of time series completeness data — specifically string normalisation of group labels and numeric interval filtering of observed or expected point counts — without any external lookup, prediction, or live data enrichment. Ideal for data quality audits, pipeline completeness checks, and pre-submission validation of small-to-medium batches (up to 200 rows).
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, observed_points, expected_points) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Minimum greater than maximum produces empty filter results
- Null numeric values may be excluded from interval filter silently
- Payment of 0.01 USDC not processed — endpoint returns 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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