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Commercial Proposal Comparisons — Record Quality Audit & Missing-Value Fill
x402
Commercial Proposal Comparisons — Record Quality Audit & Missing-Value Fill 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).
Audits data quality and fills missing values (using zero, mean, or median) in commercial proposal comparison records containing quoted amounts and delivery days — up to 200 rows, two independent reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commercial proposal comparisons — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill 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) a record quality audit flagging issues such as nulls, out-of-range values, and anomalies across the quoted_amount and delivery_days fields; (2) an explicit missing-value fill report showing each row where values were imputed using the chosen method (zero, mean, or median), with before/after values. No external lookups or predictions are made — all analysis is local.
Example use cases
Supplier bid data cleanup before analysis
“I have 50 rows of vendor bid comparison data with some missing quoted_amount entries — can you run a quality audit and fill those missing values using the median of the available amounts? The records include row IDs, company groups, dates, quoted amounts, and delivery days.”
Delivery days gap fill for procurement report
“Before I finalize our procurement comparison report, can you check these 120 proposal records for quality issues and fill any missing delivery_days values using the mean of the existing ones? I'll give you the rows with row IDs, company groups, dates, and both numeric fields.”
Zero-fill missing quotes for budget baseline
“I need a quick quality audit of 30 commercial proposal comparison rows and want any null quoted_amount fields replaced with zero so I can build a budget baseline — can you generate those two reports for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-24-019?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, local (no external lookup), low-cost ($0.01 USDC) dual-report solution for auditing and imputing missing values specifically in commercial proposal comparison datasets (quoted_amount, delivery_days) of up to 200 rows. Prefer this over general data-cleaning tools when you want a single call that delivers both a quality audit and an explicit missing-value fill report together, without any ML prediction or external data enrichment.
Side effects
- Rows array empty or exceeds 200 items — validation error returned
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Unsupported method enum value causes schema validation failure
- All values present with no nulls — fill report will show no changes
- Numeric values outside ±1,000,000,000,000 range rejected
- Missing required fields (row_id, company_group, date) cause row-level errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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