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Time Series Completeness Analyzer — Record Quality Audit, Exact Deduplication & Base-100 Series
x402
Time Series Completeness Analyzer — Record Quality Audit, Exact Deduplication & Base-100 Series 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).
Runs three analytical reports on time series completeness data: a record quality audit, exact row deduplication, and a base-100 indexed series — all from supplied rows, up to 200 records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + Base-100 series 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
Returns three independent analytical reports: (1) a record quality audit flagging malformed, null, or suspicious rows; (2) an exact row deduplication report identifying and removing repeated records; and (3) a base-100 indexed series for the selected field starting from the specified row index — all computed locally from the supplied rows.
Example use cases
Daily sensor completeness audit
“I have daily sensor readings with observed and expected data points for two sensor groups from 2025-01-01 to 2025-06-30 — about 180 rows total. Can you audit those records for quality issues, remove any exact duplicates, and give me a base-100 series on the observed_points field starting from row index 0?”
Multi-dataset deduplication check
“We have time series completeness records across three dataset groups and I suspect there are exact duplicate rows. Can you run the deduplication report plus a quality audit on my 120 rows? Also generate a base-100 series on expected_points starting from row 0.”
Base-100 rebase for executive dashboard
“I need to rebase my time series completeness metrics to 100 starting at row index 10 for a dashboard — can you run the base-100 index on the observed_points field along with the quality audit and dedup check on my 50 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-218?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined analytical operations — quality audit, deduplication, and base-100 indexing — on time series completeness data (observed vs expected points) in a single call for up to 200 rows. It is a pure local computation endpoint with no external lookups, making it fast, deterministic, and suitable for data pipelines that need repeatable results. Prefer it over separate single-purpose tools when you want all three reports in one affordable call ($0.01 USDC).
Side effects
- Exceeds 200-row limit — request rejected
- Missing required fields (row_id, date, observed_points, expected_points) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- base_index out of range (must be 0–199 and within supplied row count) — error
- Null values in observed_points or expected_points may affect completeness calculations
- field enum value must be exactly 'observed_points' or 'expected_points' — other values rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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