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Time Series Completeness Analyzer — Exact Row Deduplication + IQR Outlier Flags
x402
Time Series Completeness Analyzer — Exact Row Deduplication + IQR Outlier Flags 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 up to 200 time series completeness records (observed_points, expected_points) by deduplicating exact duplicate rows and flagging IQR-based outliers, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Exact row deduplication + IQR outlier flags: Exact row deduplication + IQR outlier flags 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
Two independent analytical reports: one listing exact duplicate rows found in the submitted dataset, and one identifying rows where the selected field (observed_points or expected_points) is flagged as an IQR outlier. Reports are computed locally with no external lookups.
Example use cases
Daily pipeline completeness audit
“I have 120 rows of daily completeness records for my ETL pipelines, each with observed_points and expected_points per dataset_group. Can you deduplicate any exact duplicate rows and flag which days look like IQR outliers in observed_points?”
Multi-group anomaly detection
“We track data completeness for three dataset groups over the past 6 months — can you run IQR outlier detection on the expected_points field across all those rows and also remove any exact duplicates before reporting?”
Data quality check before reporting
“Before I generate my monthly data quality report, can you check these 80 completeness records for exact duplicate rows and highlight any observed_points values that fall outside the IQR range so I know what to investigate?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-049?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 time series completeness records and need both exact duplicate removal and IQR-based outlier detection in a single low-cost call. Ideal for data quality pipelines where you need two independent reports (deduplication + outlier flags) without any external data lookups or predictions. Not suitable for datasets exceeding 200 rows, for forecasting, or for outlier methods other than IQR.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds limit, request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, date, observed_points, expected_points) — schema validation failure
- Null values in the selected field may affect IQR computation
- Payment of 0.01 USDC not provided — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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