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Time Series Completeness — Daily Sum + Trailing Mean Analytics
x402
Time Series Completeness — Daily Sum + Trailing Mean Analytics is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Computes a daily sum series and a trailing mean series for time series completeness records (observed vs expected data points) over up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Daily sum series + Trailing mean series: Daily sum series + Trailing mean series 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 two independent analytical reports: (1) a daily sum series aggregating the chosen field (observed_points or expected_points) by date, and (2) a trailing mean series using the specified window size — both computed from the supplied completeness records without any external lookups or live data.
Example use cases
Pipeline data gap audit
“I have 90 days of observed vs expected data point counts for my ETL pipeline split across two dataset groups. Can you compute the daily sum and a trailing mean with a window of 7 for the observed_points field so I can spot where coverage dropped?”
Sensor coverage completeness review
“I want to check completeness for my IoT sensor network — I have daily observed_points and expected_points for each sensor group over the last 30 days. Run a daily sum series and a trailing mean with window 5 on expected_points so I can see coverage trends.”
Data quality monitoring dashboard
“For my weekly data quality review, can you take these 120 rows of observed vs expected data point records across multiple dataset groups and produce both a daily sum series and a trailing mean series with a window of 14 on observed_points?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-136?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need both a daily aggregated sum and a rolling/trailing mean for time series completeness data (observed vs expected points) in a single $0.01 call covering up to 200 rows — ideal for lightweight data quality audits, ETL pipeline monitoring, or sensor coverage reviews where no external data enrichment or prediction is needed.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, date, observed_points, expected_points) in any row
- Invalid date format (must be YYYY-MM-DD)
- Window size outside allowed range (2–200)
- Numeric values outside allowed bounds (±1,000,000,000,000)
- Payment not included or insufficient USDC balance
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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