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Dataset Partition Sizes: Numeric Distribution + Trailing Mean Series
x402
Dataset Partition Sizes: Numeric Distribution + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Computes numeric distribution statistics and a trailing mean time series for dataset partition size metrics (row_count or file_mb) across up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series for supplied dataset partition sizes records (row_count, file_mb). 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 numeric distribution summary (min, max, mean, median, percentiles, std dev, etc.) for the chosen field (row_count or file_mb), and (2) a trailing mean time series over the specified window size — all computed locally on the supplied rows with no external lookups.
Example use cases
Partition row count distribution audit
“I have 80 dataset partition records with row_id, group name, date, row_count, and file_mb. Can you give me a full numeric distribution report plus a trailing mean series with window 5 on the row_count field so I can see how evenly the data is spread across partitions?”
File size growth trend analysis
“I want to check whether my dataset file sizes are growing over time — can you compute the numeric distribution and a 10-row trailing mean on the file_mb field for these 120 partition records I have?”
Dataset group size comparison
“We have two dataset groups ('group-a' and 'group-b') and I want to understand the statistical distribution of row counts across both — can you run a numeric distribution plus trailing mean series with window 3 on row_count for these 40 records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-076?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 dataset partition records with row counts and file sizes and need both a statistical distribution report and a rolling mean time series in a single low-cost call ($0.01 USDC). It is ideal for data engineers auditing partition health, monitoring size drift, or summarizing batch pipeline output — when you supply the data directly and need local computation without any external data fetching or prediction.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, dataset_group, date, row_count, file_mb) — schema error
- Window size larger than number of rows — trailing mean may be undefined or partial
- Non-numeric values in row_count or file_mb when not null — computation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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