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Export Validation — Trailing Mean Series + Equal-Width Histogram
x402
Export Validation — 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).
Computes a trailing mean time series and an equal-width histogram for export validation data (valid_rows and exported_rows) over up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Export validation — Trailing mean series + Equal-width histogram: Trailing mean series + Equal-width histogram for supplied export validation records (valid_rows, exported_rows). 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 statistical reports: (1) a trailing mean series showing the rolling average of the selected field (valid_rows or exported_rows) over the specified window size across the date-ordered rows, and (2) an equal-width histogram showing the frequency distribution of the selected field divided into the specified number of bins. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Daily export trend monitoring
“I have 90 days of export validation records for two dataset groups, each with valid_rows and exported_rows. Can you compute a trailing mean series with a window of 7 on the exported_rows field so I can see weekly smoothed trends, and give me an equal-width histogram with 10 bins?”
Row distribution audit for data team
“My team needs a statistical summary of our valid_rows export validation data — please run a trailing mean with window 3 and a 5-bin histogram on the valid_rows field for the 120 records I'm sending so we can spot anomalies in row counts.”
Pipeline health check across dataset groups
“I want to check whether our export pipeline has been stable lately. Run a trailing mean series over a window of 4 and a 15-bin histogram on the exported_rows field for this set of 60 export validation records grouped by dataset_group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-14-148?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time series and a frequency histogram for export validation metrics (valid_rows or exported_rows) in a single low-cost call. It is ideal for lightweight, offline statistical summarization of up to 200 export pipeline records without requiring external data sources, prediction models, or professional assessment. Prefer it over general analytics platforms when you want a simple, deterministic, supply-your-own-data computation for pipeline health checks or data quality audits.
Side effects
- Fewer than 1 row supplied — request rejected (minItems:1)
- More than 200 rows supplied — request rejected (maxItems:200)
- Invalid date format (not YYYY-MM-DD) — validation error
- Window size less than 2 or greater than 200 — validation error
- Bin count less than 1 or greater than 30 — validation error
- Null values in valid_rows or exported_rows — may produce incomplete series segments
- Missing required fields (row_id, dataset_group, date) — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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