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Commercial Proposal Comparisons — Record Quality Audit + Equal-Width Histogram
x402
Commercial Proposal Comparisons — Record Quality Audit + Equal-Width Histogram 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 on commercial proposal data: a record quality audit and an equal-width histogram for quoted_amount or delivery_days fields, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commercial proposal comparisons — Record quality audit + Equal-width histogram: Record quality audit + Equal-width histogram 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 record quality audit identifying missing, null, or out-of-range values per row for quoted_amount and delivery_days, and (2) an equal-width histogram showing bin edges and counts for the selected field (quoted_amount or delivery_days) across all supplied rows, using the specified number of bins (1–30).
Example use cases
Supplier quote data quality check
“I've collected 50 vendor quotes for a new procurement round. Can you audit the record quality and show me a histogram of quoted_amount with 10 bins so I can spot gaps or outliers before shortlisting?”
Delivery time distribution for RFP responses
“Here are 80 proposal records from our RFP — please run the record quality audit and generate an equal-width histogram for delivery_days using 6 bins so I can see how suppliers cluster on lead time.”
Multi-vendor proposal completeness review
“I need to check data completeness across company groups before our proposal review meeting. Run a quality audit and a 5-bin histogram on quoted_amount for these 30 commercial proposal rows and tell me if any records have issues.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-24-013?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a distribution histogram on commercial proposal comparison data (quoted_amount, delivery_days) in a single low-cost call. It is ideal for procurement analysts doing pre-review data hygiene checks on up to 200 supplier proposal rows without needing external lookups, live pricing feeds, or predictive models. Prefer alternatives if you need predictions, external enrichment, or more than 200 rows.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, quoted_amount, delivery_days) per row causes rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- bins value outside 1–30 range is rejected
- All-null values for the selected field may produce degenerate histogram output
- Malformed JSON body returns a 4xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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