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Commercial Proposal Comparisons — Record Quality Audit + String Normalisation + Daily Sum Series
x402
Commercial Proposal Comparisons — Record Quality Audit + String Normalisation + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Runs three local analytical reports (record quality audit, string normalisation, and daily sum series) on up to 200 rows of commercial proposal comparison data containing quoted amounts and delivery days.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commercial proposal comparisons — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied commercial proposal comparisons records (quoted_amount, delivery_days). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values in the submitted rows; (2) a string normalisation report cleaning and standardising the company_group field; and (3) a daily sum series aggregating the selected numeric field (quoted_amount or delivery_days) by date. All computed locally with no external lookups.
Example use cases
Vendor bid data quality check
“I have a spreadsheet of vendor proposals with quoted amounts and delivery days — can you run a record quality audit on all 150 rows and flag any data quality issues, using quoted_amount as the focus field?”
Normalising company names in procurement data
“Our proposal comparison dataset has inconsistent company group names across 80 rows with dates and quoted amounts — can you normalise those strings and give me a cleaned report?”
Daily aggregated quote totals for procurement review
“I need a daily sum series of quoted_amount across our 60 commercial proposal records grouped by date, so I can see how total bid values trend day by day — can you run that?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-24-198?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations — quality audit, string normalisation, and daily aggregation — on commercial proposal or vendor bid data in a single low-cost call. It is ideal for preprocessing procurement datasets before downstream analysis, when all computation should happen locally without any external API calls, predictions, or live data lookups. Not suitable if you need only one of the three reports, need more than 200 rows, or require predictive modelling or external enrichment.
Side effects
- Empty rows array or missing required fields (row_id, date) causes validation failure
- More than 200 rows submitted exceeds the batch limit
- Dates not matching YYYY-MM-DD pattern cause schema rejection
- Numeric values outside ±1,000,000,000,000 range are rejected
- Invalid field enum value (not quoted_amount or delivery_days) causes error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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