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Proposal Preparation Record Quality Audit and Numeric Distribution
x402
Proposal Preparation Record Quality Audit and Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs two local analytical reports — a record quality audit and a numeric distribution analysis — on up to 200 proposal preparation rows containing completed_sections and planned_sections fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Proposal preparation — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution for supplied proposal preparation records (completed_sections, planned_sections). 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: (1) a record quality audit flagging missing values, nulls, format issues, and data integrity problems in the supplied rows; (2) a numeric distribution report showing statistical spread (min, max, mean, percentiles, etc.) for the selected field (completed_sections or planned_sections). Both reports are computed locally from the submitted data with no external lookups.
Example use cases
Pre-submission proposal data validation
“Before I hand off this proposal tracking spreadsheet, can you audit the record quality and show me the numeric distribution of completed_sections across all my proposal rows so I can catch any gaps or anomalies?”
Planned sections coverage analysis
“I have about 80 proposal preparation records grouped by document_group and I need a quality audit plus a distribution breakdown of the planned_sections field — can you run both reports at once?”
Proposal pipeline health check
“Run a data quality audit and numeric distribution on these proposal records for me — I want to see if any completed_sections values look off and understand the spread across groups before the quarterly review.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-08-004?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a numeric distribution analysis on proposal preparation records in a single paid call. It is ideal for pre-processing validation before downstream reporting, when you want local computation with no external data exposure, and when your dataset is under 200 rows. It is not suitable for live prediction, external data enrichment, or datasets exceeding 200 rows.
Side effects
- Exceeding 200 rows returns an error
- Missing required fields (row_id, date, completed_sections, planned_sections) cause validation failure
- Invalid date format (non-YYYY-MM-DD) rejected by pattern constraint
- Null or out-of-range numeric values may be flagged in quality audit
- Empty rows array rejected (minItems: 1)
- Payment failure via x402 protocol prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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