Dataset Partition Sizes — Trailing Mean Series + Equal-Width Histogram

API ↗

Dataset Partition Sizes — 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 dataset partition size records (row_count or file_mb), returning two analytical reports for up to 200 rows.

How this service works

Dataset partition sizes — Trailing mean series + Equal-width histogram: Trailing mean series + Equal-width histogram 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 trailing mean time series showing the rolling average of the selected field (row_count or file_mb) over the specified window, and (2) an equal-width histogram showing the frequency distribution of values across the specified number of bins. Both reports are computed locally from the supplied data without any external lookup.