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Commercial Proposal Comparisons — Base-100 Series + Date by Category Pivot
x402
Commercial Proposal Comparisons — Base-100 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 2026-10-17).
Generates two analytical reports (Base-100 indexed time series and date-by-category pivot) for commercial proposal comparison data including quoted amounts and delivery days.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commercial proposal comparisons — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot for supplied commercial proposal comparisons records (quoted_amount, delivery_days). 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 Base-100 indexed time series showing how the selected field (quoted_amount or delivery_days) evolves relative to the chosen base row, and (2) a date-by-category pivot table breaking down the same field by company_group across dates. Both reports are computed locally from the supplied rows (up to 200).
Example use cases
Procurement bid normalization across vendors
“I've got 80 rows of RFP responses from three supplier groups with dates and quoted amounts. Generate the base-100 indexed series and date-by-category pivot for the quoted_amount field, starting the index at row 0, so I can see how each group's pricing moves relative to the baseline.”
Delivery time comparison by supplier over time
“I need to compare delivery_days across two company groups — NorthCo and SouthCo — using data from Q1 2025. Run the base-100 and date-pivot reports on the delivery_days field, using the first row as the base, so I can see which supplier's lead times are improving.”
Quarterly proposal trend analysis for procurement review
“We're doing a procurement review and I have 150 commercial proposal records with quoted_amount and delivery_days by vendor group and week. Can you produce the base-100 series and date-by-category pivot on quoted_amount with base index 0 so we can present trends to the committee?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-24-167?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular commercial proposal or vendor bid data and need two specific analytical outputs — a base-100 normalized time series and a date-by-category pivot — computed server-side without any external lookups. It is ideal for procurement analytics workflows where you want to compare supplier quotes or delivery timelines relative to a baseline row, across up to 200 records, at very low cost ($0.01 USDC for both reports). Prefer this over general-purpose analytics tools when your data already fits the required schema (row_id, company_group, date, quoted_amount, delivery_days).
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- base_index out of range (>= number of rows supplied) — error
- field value not one of 'quoted_amount' or 'delivery_days' — schema validation failure
- Null values in the selected field may produce gaps or NaN entries in the indexed series
- Missing required row fields (row_id, company_group, date) — row rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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