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Commercial Proposal Comparisons — Record Quality Audit + Numeric Distribution
x402
Commercial Proposal Comparisons — Record Quality Audit + Numeric Distribution 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 local analytical reports (record quality audit and numeric distribution) on up to 200 rows of commercial proposal comparison data (quoted_amount, delivery_days) for $0.01 USDC.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commercial proposal comparisons — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution 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 flagging completeness, nulls, and anomalies across the supplied rows, and (2) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram bins) for the chosen field (quoted_amount or delivery_days). No external lookups or predictions are made — all analysis is performed locally on the supplied data.
Example use cases
Vendor bid data quality check
“I have 120 rows of vendor bid records with quoted amounts and delivery days from three company groups. Can you audit the data quality and show me the numeric distribution for quoted_amount so I can spot any anomalies before I review the proposals?”
Delivery time distribution analysis
“We collected delivery day estimates from two suppliers across 80 proposals — can you run a numeric distribution report on the delivery_days field and flag any record quality issues in the dataset?”
Procurement data profiling before reporting
“Before I send our proposal comparison sheet to finance, can you run a record quality audit plus numeric distribution on these 45 rows covering quoted_amount so I know if there are missing values or weird outliers?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-24-004?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap ($0.01 USDC), offline data quality and distribution profile for up to 200 commercial proposal records without any external API dependency, live lookup, or prediction. Ideal for pre-analysis data validation and numeric profiling of procurement/bid datasets before downstream processing or reporting.
Side effects
- Fewer than 1 row or more than 200 rows supplied returns a validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id) in any row triggers an error
- Field enum value not in ['quoted_amount','delivery_days'] causes rejection
- All null values in the selected numeric field may produce empty distribution output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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