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Procurement Research — Two-Measure Correlation + Date by Category Pivot
x402
Procurement Research — Two-Measure Correlation + 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).
Runs two local analytical reports on procurement records: a Pearson/rank correlation between quoted_amount and quoted_units, and a date-by-category pivot table, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Procurement research — Two-measure correlation + Date by category pivot: Two-measure correlation + 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 derived from the submitted procurement rows: (1) a two-measure correlation report showing the statistical relationship between quoted_amount and quoted_units, and (2) a date-by-category pivot table aggregating the selected field (quoted_amount or quoted_units) across company_group and date dimensions. Both reports are computed locally from supplied data with no external lookups.
Example use cases
Vendor quote quantity-price correlation
“I have 120 procurement quote rows with quoted_amount and quoted_units from different supplier groups — can you check whether higher unit counts actually correlate with higher amounts, and also pivot the data by date and company_group so I can see the breakdown?”
Category spend pattern over time
“Here are 80 procurement records with dates and company groups — run a date-by-category pivot on quoted_amount so I can see how each supplier group's spend changes over time, and also give me the correlation between quoted_amount and quoted_units.”
Bid analysis for contract review
“I'm reviewing bids from our top vendors — I have 200 rows with company_group, date, quoted_amount, and quoted_units. Please compute the correlation between amount and units and pivot the quotes by date and company group so I can spot pricing patterns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-11-182?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 procurement records with quoted_amount and quoted_units fields and need both a correlation statistic and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytical workflows where no live data lookup, prediction, or external validation is needed. Prefer this over general analytics tools when working with structured procurement quote data at minimal cost ($0.01 USDC for both reports).
Side effects
- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, company_group, date, quoted_amount, quoted_units) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — rejected
- Too few rows with non-null values to compute a meaningful correlation — may return NaN or warning
- Invalid field enum value other than quoted_amount or quoted_units — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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