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Procurement Research — String Normalisation + Trailing Mean Series
x402
Procurement Research — 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 2026-10-15).
Applies string normalisation and trailing mean series analysis to up to 200 procurement research records for quoted_amount or quoted_units fields, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Procurement research — String normalisation + Trailing mean series: String normalisation + Trailing mean series 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
Two analytical reports: (1) a string normalisation report on the chosen field across the supplied procurement rows, and (2) a trailing mean series computed over the specified rolling window for the same field — both derived locally from the input data with no external lookups.
Example use cases
Supplier quote trend smoothing
“I have 50 procurement rows across three supplier groups from the last two months — can you normalize the quoted_amount strings and compute a trailing mean series with a window of 5 on quoted_amount so I can see smoothed price trends per group?”
Unit volume rolling average
“Take these 120 procurement records with company_group, date, and quoted_units columns and give me a trailing mean series with window 10 on quoted_units alongside string normalization — I need to spot rolling volume trends.”
Procurement data QA and smoothing
“I've got 80 procurement rows from multiple company groups spanning 2025 — normalize the strings and compute a 4-period trailing mean on quoted_amount so I can clean up the data and understand the average spend trend.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-11-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and trailing mean series analytics on procurement data (quoted_amount or quoted_units) in a single low-cost call. It is ideal for batch offline analysis of up to 200 rows where no live market lookup, prediction, or external enrichment is required — just local, deterministic computation on your supplied records.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, quoted_amount, quoted_units) — validation error
- Window size outside 2–200 range — schema validation failure
- Invalid date format (must match YYYY-MM-DD) — pattern validation error
- All values null for selected field — unable to compute meaningful series
- Payment not completed — 402 response, no analysis returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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