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Commercial Proposal Comparisons — Record Quality Audit + Date by Category Pivot
x402
Commercial Proposal Comparisons — Record Quality Audit + 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 record quality audit and a date-by-category pivot, using quoted_amount or delivery_days as the measure field.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commercial proposal comparisons — Record quality audit + Date by category pivot: Record quality audit + 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 reports: (1) a record quality audit identifying issues such as missing values, invalid formats, or out-of-range entries across the supplied rows; and (2) a date-by-category pivot table summarizing the selected measure field (quoted_amount or delivery_days) grouped by date and company_group. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Procurement bid data quality review
“I have a batch of 80 supplier bid records with columns row_id, company_group, date, quoted_amount, and delivery_days — can you audit the record quality and give me a date-by-category pivot on the quoted_amount values?”
Delivery time comparison across vendors
“Take these 120 proposal rows from three vendor groups over the last quarter and run a date pivot grouped by company_group using delivery_days as the measure, plus flag any quality issues in the records.”
Monthly proposal summary for finance team
“I've got 150 commercial proposal comparison rows covering October through December across two company groups — run a record quality audit and a date-by-category pivot on quoted_amount so I can share a clean summary with the finance team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-24-017?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of commercial proposal comparison data (with quoted_amount and delivery_days fields) and need both a data quality audit and a date-grouped pivot in a single low-cost call. It is ideal for procurement analytics, vendor comparison workflows, or data validation pipelines where you want bundled reports without external lookups or live data dependencies.
Side effects
- Exceeds 200-row limit — request rejected
- Missing required fields (row_id, company_group, date, quoted_amount, delivery_days) — validation error
- Invalid date format (not YYYY-MM-DD) — schema rejection
- Field enum value not 'quoted_amount' or 'delivery_days' — validation error
- All numeric values null — pivot may produce empty results
- Payment not provided or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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