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Commercial Proposal Comparisons — Duplicate Key Report + Explicit Missing-Value Fill
x402
Commercial Proposal Comparisons — Duplicate Key Report + Explicit 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).
Analyzes up to 200 commercial proposal records to identify duplicate keys and fill missing values (quoted_amount or delivery_days) using zero, mean, or median imputation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commercial proposal comparisons — Duplicate key report + Explicit missing-value fill: Duplicate key report + 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
Returns two independent reports: (1) a duplicate key report identifying any rows sharing the same row_id, and (2) an explicit missing-value fill report showing the original and imputed values for the selected field (quoted_amount or delivery_days) using the chosen method (zero, mean, or median). Both reports are computed locally with no external lookups.
Example use cases
Cleaning vendor bid dataset before analysis
“I have a vendor bid comparison table with about 50 rows — can you run a duplicate key check and fill in any missing quoted_amount values using the mean? Here are the rows with fields row_id, company_group, date, quoted_amount, and delivery_days.”
Procurement audit for missing delivery estimates
“I need to audit my procurement proposal records for missing delivery_days values and fill them with zero where they're absent — please give me both the duplicate report and the filled data for these 120 proposal rows.”
Supplier quote data quality check
“Before I present these supplier quotes to my team, can you check for any duplicate row IDs and impute missing quoted_amount fields using the median? I have 30 rows with company_group, date, quoted_amount, and delivery_days fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-24-070?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, low-cost ($0.01 USDC) offline data quality analysis on commercial proposal datasets — specifically when you want duplicate key detection AND missing-value imputation together in one call, without any external data lookup or model inference. Best for batch cleaning of up to 200 vendor/supplier proposal rows before downstream analytics.
Side effects
- Exceeds 200-row limit — request is rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes schema validation error
- row_id missing or empty string causes required-field validation failure
- Unsupported fill method or field enum value causes validation error
- All values present for selected field — fill report returns no changes
- Single-row input prevents meaningful duplicate detection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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