Archive Retrieval — String Normalisation + 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 2026-10-25).
Applies string normalisation and computes a trailing mean series on user-supplied archive retrieval records (retrieved_pages, attempted_pages) for up to 200 rows.
Archive retrieval — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied archive retrieval records (retrieved_pages, attempted_pages). 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.
Two analytical reports for the supplied rows: (1) string-normalised versions of the site_group and related text fields, and (2) a trailing mean series computed over the chosen numeric field (retrieved_pages or attempted_pages) using the specified window size, covering up to 200 input rows.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-22-028?utm_source=zero.xyzChoose this endpoint when you have user-supplied archive retrieval tabular data (up to 200 rows) and need both string normalisation of categorical fields and a trailing/rolling mean series over a numeric metric (retrieved_pages or attempted_pages) in a single low-cost call. It is a good fit for offline batch analytical preparation of crawl or web archive datasets where no live lookup or external data is required.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
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