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Commercial Proposal Comparisons — Duplicate Key Report + Date by Category Pivot
x402
Commercial Proposal Comparisons — Duplicate Key Report + 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).
Runs two analytical reports on commercial proposal data: a duplicate key report and a date-by-category pivot table, returning insights on quoted amounts or delivery days for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commercial proposal comparisons — Duplicate key report + Date by category pivot: Duplicate key report + 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
Returns two independent reports: (1) a duplicate key report identifying any repeated row_id values across the submitted records, and (2) a date-by-category pivot table aggregating the selected field (quoted_amount or delivery_days) broken down by company_group and date. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Detecting duplicate bids from vendors
“I have a list of vendor quotes for a procurement round and I want to check if any row IDs are duplicated and see how quoted amounts break down by supplier group across different dates — can you run those two reports on my 50 proposal rows?”
Pivot delivery times by supplier group
“Can you pivot this proposal data by date and company group so I can see delivery_days broken down by category? Also flag any duplicate row IDs in the dataset — I have about 120 rows from our last RFQ.”
Auditing proposal data quality before review
“Before our procurement committee reviews these commercial proposals, can you check for any duplicate keys and generate a date-by-category summary of the quoted_amount field across all supplier groups? We have 80 proposal records to audit.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-24-068?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a duplicate key audit and a date-by-category pivot on commercial proposal or vendor quote data in a single low-cost call. It is well-suited for procurement data quality checks and exploratory analysis on small-to-medium datasets (up to 200 rows) without requiring any external data sources or live lookups.
Side effects
- Missing required fields (row_id, date, company_group) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the maxItems limit
- Invalid field enum value (anything other than 'quoted_amount' or 'delivery_days') causes rejection
- Empty rows array (minItems: 1 not met) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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