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Commercial Proposal Comparisons — IQR Outlier Flags + Date by Category Pivot
x402
Commercial Proposal Comparisons — IQR Outlier Flags + Date by Category Pivot 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 commercial proposal data to flag IQR-based outliers and generate a date-by-category pivot table for quoted amounts or delivery days across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commercial proposal comparisons — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot 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) IQR outlier flags for each row indicating whether the selected field (quoted_amount or delivery_days) is an outlier based on interquartile range, and (2) a pivot table of the selected field values organized by date and company group category. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Outlier detection in vendor bids
“I have a list of 80 vendor proposals with their quoted amounts and delivery days — can you flag which ones are statistical outliers using IQR, and also pivot the quoted_amount by date and company group?”
Procurement audit of delivery times
“We're auditing supplier delivery day promises across 120 proposal records. Can you run IQR outlier detection on delivery_days and show me a date-by-category breakdown so I can spot which groups are quoting suspiciously long or short timelines?”
Comparing quotes across company groups
“I've got 60 rows of commercial proposal comparisons from three company groups over the last quarter. Please flag any quoted_amount outliers using IQR and give me a pivot table of amounts by date and group so I can see patterns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-24-178?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 commercial proposal records and need both IQR-based outlier detection and a date-by-category pivot in a single low-cost call ($0.01 USDC). Ideal for procurement analysts or agents comparing vendor bids without needing external data lookups, predictions, or professional assessments. Prefer this over generic analytics tools when working with the specific schema of row_id, company_group, date, quoted_amount, and delivery_days.
Side effects
- Fewer than 1 row supplied — rejected by schema validation
- More than 200 rows supplied — exceeds maximum item limit
- Invalid date format (not YYYY-MM-DD) — schema pattern validation failure
- Missing required fields (row_id, company_group, date, quoted_amount, delivery_days) — schema validation error
- Invalid field enum value (not 'quoted_amount' or 'delivery_days') — rejected
- Numeric values outside allowed range — schema minimum/maximum violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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