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Procurement Research: Trailing Mean Series + Keyed Dataset Comparison
x402
Procurement Research: Trailing Mean Series + Keyed Dataset Comparison 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 trailing mean time series and keyed dataset comparison reports for procurement records containing quoted amounts and units, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Procurement research — Trailing mean series + Keyed dataset comparison: Trailing mean series + Keyed dataset comparison 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 time series showing rolling average values of the selected field (quoted_amount or quoted_units) grouped by date and company group, and (2) a keyed dataset comparison report highlighting differences between the primary and reference datasets by row key. No external lookups or predictions are included — all computation is performed locally on the supplied data.
Example use cases
Supplier quote trend analysis
“I have 150 procurement rows from three supplier groups over the past year, each with a date, company group, and quoted amount. Can you compute a trailing mean series on quoted_amount so I can see how each group's pricing trend has evolved over time?”
Benchmark new bids against historical quotes
“I want to compare our new vendor bids — about 80 rows with quoted amounts and units — against last quarter's procurement data using a keyed dataset comparison on quoted_amount. Can you run both reports and show me where the biggest differences are?”
Multi-vendor unit pricing drift report
“We have two procurement datasets — one from our primary suppliers and one from secondary suppliers, both with date, company group, and quoted units fields — can you do a trailing mean series plus a keyed comparison on quoted_units to see how unit pricing has drifted between the two groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-11-153?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured procurement records with quoted amounts or units and need both a rolling/trailing mean time series and a keyed dataset-to-dataset comparison in a single call. It is purpose-built for procurement analytics on supplier quote data and is ideal when you have two datasets to benchmark against each other and want both reports for a flat $0.01 fee. Prefer this over generic statistics APIs when your data has the specific procurement schema (quoted_amount, quoted_units, company_group) and you need both report types together without any external data enrichment or prediction.
Side effects
- More than 200 rows supplied — request rejected due to maxItems constraint
- Missing required fields (row_id, company_group, date, quoted_amount, quoted_units) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field selector not one of 'quoted_amount' or 'quoted_units' — enum validation error
- Empty rows array — minItems constraint violation
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| window | integer |
Tags
x402
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