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Time Series Completeness — Record Quality Audit + Exact Row Deduplication + Numeric Interval Filter
x402
Time Series Completeness — Record Quality Audit + Exact Row Deduplication + 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 2026-10-15).
Audits time series completeness records (observed_points vs expected_points) for data quality, removes exact duplicate rows, and filters rows by a numeric interval — returning 3 independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter for supplied time series completeness records (observed_points, expected_points). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports returned for the submitted rows: (1) a record quality audit flagging malformed, null, or invalid records; (2) an exact row deduplication report identifying and removing fully duplicate rows; and (3) a numeric interval filter report listing which rows fall within the specified minimum–maximum range for the chosen field (observed_points or expected_points). All processing is local with no external data lookups.
Example use cases
Daily completeness pipeline quality gate
“I have daily completeness records for two dataset groups — run a record quality audit, deduplicate any exact duplicate rows, and filter observed_points between 5 and 50 on these 4 rows: row-1/group-a/2026-10-01/observed=10/expected=1, row-2/group-b/2026-10-02/observed=20/expected=2, row-3/group-a/2026-10-01/observed=10/expected=1 (duplicate), row-4/group-b/2026-10-03/observed=8/expected=4.”
Outlier detection in completeness tracking
“Check these 5 time series completeness records for quality issues, remove any duplicate rows, and filter expected_points to only rows with values between 2 and 100: row-1/group-x/2026-11-01/observed=5/expected=5, row-2/group-x/2026-11-02/observed=null/expected=10, row-3/group-y/2026-11-03/observed=200/expected=3, row-4/group-y/2026-11-03/observed=200/expected=3, row-5/group-x/2026-11-04/observed=8/expected=null.”
Multi-group completeness data cleanup
“I need to clean up my completeness dataset before a report — audit record quality, deduplicate, and filter observed_points from 0 to 500 for these rows: row-A/alpha/2026-09-01/observed=100/expected=100, row-B/beta/2026-09-02/observed=50/expected=80, row-C/alpha/2026-09-01/observed=100/expected=100, row-D/gamma/2026-09-03/observed=600/expected=90, row-E/beta/2026-09-04/observed=75/expected=80.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-214?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous data quality operations — quality audit, deduplication, and numeric range filtering — on a time series completeness dataset (observed vs expected points) in a single API call. It is best suited for batch cleanup of up to 200 rows of completeness logs, pipeline quality gates before reporting, or exploratory auditing of multi-group time series data. Prefer alternatives if you need live data lookup, forecasting, statistical modeling, or operations on datasets exceeding 200 rows.
Side effects
- Fewer than 1 row submitted — rejected by minItems constraint
- More than 200 rows submitted — rejected by maxItems constraint
- Invalid date format (not YYYY-MM-DD) — schema validation error
- row_id missing or empty — required field validation error
- minimum greater than maximum — may produce empty interval filter results
- Null numeric values — handled as missing but may affect interval filter counts
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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