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Procurement Research: Trailing Mean Series + Date by Category Pivot
x402
Procurement Research: Trailing Mean Series + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Computes a trailing moving average time series and a date-by-category pivot table for up to 200 procurement records (quoted_amount or quoted_units), returning two analytical reports in one call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Procurement research — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot for supplied procurement research records (quoted_amount, quoted_units). 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 analytical reports: (1) a trailing mean series showing rolling averages of the selected field (quoted_amount or quoted_units) over the specified window, and (2) a date-by-category pivot table breaking down the same field by company_group across all dates, based entirely on the supplied procurement rows without any external data lookup.
Example use cases
Supplier quote trend smoothing
“I have 120 procurement rows with quoted_amount, company_group, and date fields — can you compute a trailing mean series with a window of 7 so I can see smoothed price trends over time, plus pivot the data by date and supplier category?”
Procurement spend breakdown by vendor group
“Take these 80 vendor quote records with quoted_units and run both a trailing mean series (window size 4) and a date-by-category pivot so I can see unit volumes broken down by company group across each date.”
Monthly quote variance analysis
“I've got 200 procurement records spanning several months — please compute a rolling mean with window size 10 on quoted_amount and give me a date-by-category pivot so I can spot which company groups are driving spend spikes on specific dates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-11-152?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time series AND a date-by-category pivot on procurement records in a single low-cost API call. It is ideal for offline analytical work on pre-collected procurement datasets (up to 200 rows) where no live data lookup, external pricing feed, or prediction is required. Prefer it over general-purpose analytics tools when working specifically with procurement quote data (quoted_amount, quoted_units) organized by company_group and date.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Window size smaller than 2 or larger than number of rows — may produce incomplete or empty series
- Missing required fields (row_id, company_group, date, quoted_amount, quoted_units) — validation error
- Date strings not matching YYYY-MM-DD format — schema validation failure
- Null values in quoted_amount or quoted_units may affect mean calculations
- Payment of 0.01 USDC not processed — request not fulfilled
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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