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Time Series Completeness — Trailing Mean Series + Equal-Width Histogram
x402
Time Series Completeness — Trailing Mean Series + Equal-Width Histogram 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).
Analyzes time series completeness records (observed vs expected data points) by computing a trailing mean series and an equal-width frequency histogram in a single call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Trailing mean series + Equal-width histogram: Trailing mean series + Equal-width histogram 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: (1) a trailing mean series showing smoothed completeness values over time for the chosen field and window, and (2) an equal-width histogram showing the frequency distribution of values across the specified number of bins — both computed locally from the supplied rows without any external lookup or prediction.
Example use cases
Daily pipeline completeness review
“I have 90 days of ETL pipeline logs with observed and expected record counts per day for three pipelines. Can you compute a trailing mean with a window of 7 on observed_points and a 10-bin histogram so I can see the completeness trend and distribution?”
Sensor coverage gap analysis
“My IoT sensors report expected vs observed readings every day for two device groups. Run a trailing mean series with a window of 5 and a 5-bin equal-width histogram on expected_points for these 60 rows so I can spot coverage gaps.”
Data ingestion audit report
“I need to audit our data ingestion completeness for 120 days across four dataset groups. Please generate a rolling mean series using a window of 4 and a 15-bin histogram on the observed_points field to summarize the completeness distribution.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-148?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a smoothed trend view (trailing mean) and a distribution view (histogram) of time series completeness data in a single low-cost call. It is ideal for datasets up to 200 rows where you want local, deterministic statistical summaries of observed vs expected data coverage without any external data fetching, prediction, or live lookup. Prefer this over single-report alternatives when you need both temporal smoothing and frequency distribution in one request.
Side effects
- More than 200 rows submitted — request rejected due to maxItems limit
- Missing required fields (row_id, date, observed_points, expected_points) cause validation failure
- Invalid date format (not YYYY-MM-DD) triggers pattern validation error
- Window size less than 2 or greater than 200 rejected by schema
- Bins value outside 1–30 range rejected
- Null values in numeric fields may affect mean/histogram computation
- Empty rows array rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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