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Commercial Proposal Comparisons — Record Quality Audit + Category Frequencies
x402
Commercial Proposal Comparisons — Record Quality Audit + Category Frequencies 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 a record quality audit and category frequency analysis on commercial proposal comparison data (quoted amounts and delivery days) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commercial proposal comparisons — Record quality audit + Category frequencies: Record quality audit + Category frequencies 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 analytical reports: (1) a record quality audit flagging completeness, missing values, and anomalies across the supplied rows for quoted_amount and delivery_days fields; and (2) a category frequency summary showing how often each company_group category appears in the dataset. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Supplier bid data quality check
“I have 50 supplier proposal records with quoted_amount and delivery_days fields — can you audit them for missing or bad values and also tell me how frequently each company group appears? Here are the rows: row-1, group-a, 2026-11-01, 500, 14; row-2, group-b, 2026-11-02, 750, 21 ... (up to 50 rows).”
Procurement comparison pre-report validation
“Before I send my procurement comparison report to management, can you run a record quality audit and category frequency check on these 30 proposal rows covering company groups alpha, beta, and gamma, with their quoted amounts and delivery days?”
Spotting gaps in RFQ response dataset
“I collected RFQ responses from 5 vendors across 80 bids — can you audit the record quality and show me category frequencies for company_group across all rows, so I can see which vendors have missing delivery_days or quoted_amount values?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-24-006?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, low-cost dual-report data quality check specifically on commercial proposal comparison records with quoted_amount and delivery_days fields, and want both a record-level quality audit and a category frequency breakdown in one call. Prefer it over manual analysis when dealing with up to 200 rows of procurement or supplier bid data that needs validation before reporting or decision-making.
Side effects
- Fewer than 1 row supplied — returns validation error
- More than 200 rows supplied — rejected with row limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id) — request rejected
- Numeric values outside allowed range — schema rejection
- Payment not included or insufficient — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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