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Commercial Proposal Comparisons — Equal-Width Histogram + Explicit Missing-Value Fill
x402
Commercial Proposal Comparisons — Equal-Width Histogram + 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).
Generates equal-width histogram and explicit missing-value fill reports for commercial proposal comparison data (quoted_amount, delivery_days) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commercial proposal comparisons — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + 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 analytical reports: (1) an equal-width histogram showing bin ranges and counts for the selected field (quoted_amount or delivery_days), and (2) an explicit missing-value fill report showing how null values were replaced using the chosen method (zero, mean, or median). Both reports are computed locally with no external lookups.
Example use cases
Vendor bid price distribution analysis
“I've collected 80 supplier bids for a procurement round and want to see how the quoted_amount values are distributed — run an equal-width histogram with 8 bins and fill any missing quoted amounts using the median, here are the rows with row_id, company_group, and date.”
Delivery time spread across company groups
“Can you bucket delivery_days from these 120 vendor proposals into 5 equal-width bins and fill any null delivery_days with zero so I can see how lead times are spread across our supplier groups?”
Missing-value cleanup before proposal scoring
“Before I score these 60 proposals, I need nulls in the quoted_amount column filled using mean imputation and a 6-bin histogram so I can spot outliers — here are the rows including row_id, company_group, and date.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-24-175?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need statistical distribution analysis (histogram) and missing-value imputation for commercial proposal or vendor bid datasets of up to 200 rows, and do not need live market data, predictive modeling, or external validation. Ideal for procurement analytics workflows where you want a bundled histogram + null-fill report at low cost ($0.01 USDC for both).
Side effects
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id) in one or more row objects
- Invalid date format (must match YYYY-MM-DD pattern)
- bins value outside allowed range of 1–30
- Numeric values outside allowed range (-1e12 to 1e12)
- Invalid enum value for field or method parameters
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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