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Commercial Proposal Comparisons — String Normalisation + Secondary-Measure Weighted Mean
x402
Commercial Proposal Comparisons — String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Performs string normalisation and secondary-measure weighted mean analytics on commercial proposal comparison records (quoted_amount, delivery_days) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commercial proposal comparisons — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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 independent analytical reports per call: (1) string-normalised representation of the submitted commercial proposal records, and (2) a secondary-measure weighted mean computed over the chosen field (quoted_amount or delivery_days), all calculated locally with no external lookups. Both reports cover up to 200 input rows.
Example use cases
Supplier quote normalisation for procurement
“I have 12 vendor quotes in my commercial proposal comparison table with company names, quoted amounts, and delivery days. Can you normalise the string data and compute a weighted mean on quoted_amount using the local analytics engine? I need both reports.”
Delivery-day weighted average across bidders
“We're comparing 8 proposals from three supplier groups and I want to weight the delivery_days field using the secondary-measure weighted mean method — please run string normalisation on the company group names too and return the two analytical reports.”
Procurement analytics for proposal shortlisting
“I've got 50 commercial proposal rows from our RFQ process with quoted_amount and delivery_days per bidder. Run string normalisation and the secondary-measure weighted mean on quoted_amount so I can shortlist vendors — I need the two included reports back.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-24-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured commercial proposal comparison data (quoted_amount, delivery_days) and need both string normalisation and a secondary-measure weighted mean as two packaged analytical reports in a single low-cost call ($0.01 USDC for 2 reports, up to 200 rows). Prefer it over general-purpose analytics tools when you need deterministic, reproducible local computation with no external data lookups or live predictions, and when your data fits the defined schema with known company groups and numeric proposal fields.
Side effects
- More than 200 rows submitted — request rejected at input validation
- Missing required fields (row_id, company_group, date, quoted_amount, delivery_days) on any row — validation error
- Date strings not matching YYYY-MM-DD pattern — pattern validation failure
- Numeric values outside the allowed ±1,000,000,000,000 range — validation error
- Empty rows array — minItems:1 constraint violated
- Invalid field enum value (anything other than 'quoted_amount' or 'delivery_days') — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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