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Commercial Proposal Comparisons — Record Quality Audit + String Normalisation + Two-Measure Correlation
x402
Commercial Proposal Comparisons — Record Quality Audit + String Normalisation + Two-Measure Correlation 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 three local analytical reports (record quality audit, string normalisation, and two-measure correlation) on commercial proposal comparison data rows containing quoted amounts and delivery days.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commercial proposal comparisons — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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 across rows; (2) a string normalisation report cleaning and standardising company_group and other string fields; and (3) a two-measure correlation report quantifying the statistical relationship between quoted_amount and delivery_days across the supplied rows. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Vendor bid data quality check
“I've collected 80 vendor proposals with quoted amounts and delivery days — can you audit the record quality, normalise the company name strings, and show me if there's a correlation between price and delivery time across those bids?”
Procurement data cleanup before reporting
“Before I present our supplier comparison report, can you run a quality audit and string normalisation on our 150 proposal records so I can catch any malformed or missing values in the quoted_amount and delivery_days columns?”
Correlating cost and speed across proposals
“I want to know if faster delivery times tend to come with higher quoted prices in our shortlisted proposals — run the two-measure correlation report on my 40 rows of commercial proposal data with quoted amounts and delivery days.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-24-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local analytical processing of commercial proposal or vendor bid data — specifically when you want all three of record quality auditing, string normalisation, and two-measure correlation in a single cheap call (0.01 USDC) without needing live data lookups, ML predictions, or external enrichment. Ideal for procurement analysts or agents doing pre-report data hygiene on up to 200 rows of structured bid data.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, quoted_amount, delivery_days) on any row — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Numeric fields outside allowed range (-1e12 to 1e12) — schema rejection
- Insufficient numeric variance in quoted_amount or delivery_days for meaningful correlation — correlation report may return low-confidence or undefined result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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