Time Series Completeness — Exact Row Deduplication + Category Frequencies 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).
Analyzes time series completeness records (observed vs expected data points) by deduplicating exact duplicate rows and computing category frequencies across dataset groups, returning two analytical reports for up to 200 rows.
Time series completeness — Exact row deduplication + Category frequencies: Exact row deduplication + Category frequencies 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.
Returns two independent analytical reports: (1) an exact row deduplication report identifying and removing fully duplicate rows from the submitted completeness records, and (2) a category frequency report showing how often each dataset_group value appears across the submitted rows — all computed locally against the supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-041?utm_source=zero.xyzChoose this endpoint when you need two specific analyses on time series completeness data in a single call: exact duplicate row detection/removal and category frequency distribution by dataset group. Ideal for data quality audits, ETL validation pipelines, or completeness reporting workflows where you have up to 200 rows of observed vs expected point counts keyed by date and group. Prefer this over general-purpose analytics tools when you want a lightweight, paid-per-call micro-service that combines both deduplication and frequency reporting without requiring infrastructure setup.
| Field | Type | Description |
|---|---|---|
| rows | array |
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