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Proposal Preparation — Record Quality Audit + String Normalisation + Numeric Row Ordering
x402
Proposal Preparation — Record Quality Audit + String Normalisation + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Audits data quality, normalises strings, and orders rows numerically for proposal preparation records containing completed_sections and planned_sections fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Proposal preparation — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied proposal preparation records (completed_sections, planned_sections). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports for the supplied proposal preparation dataset (up to 200 rows): (1) a record quality audit identifying missing, invalid, or inconsistent values; (2) a string normalisation report standardising text fields like document_group; and (3) a numeric row ordering report sorting records by the selected numeric field (completed_sections or planned_sections).
Example use cases
Pre-submission proposal data QA
“Before I submit this proposal, can you audit the quality of my proposal records and normalise the document_group strings? I have about 50 rows each with a date, row_id, document_group, and both completed_sections and planned_sections counts — run the three reports on the completed_sections field.”
Tracking section completion progress
“I have 120 rows of proposal preparation data tracking planned and completed sections across multiple document groups from 2026-09-01 onwards — can you order them numerically by completed_sections and audit the record quality so I can see where data is missing or malformed?”
Normalising messy document group labels
“My proposal dataset has inconsistent capitalisation and spacing in the document_group column across 80 rows — can you run the string normalisation report along with the quality audit and numeric ordering on the planned_sections field so I get clean, comparable data?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-08-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled local analytical operations — quality audit, string normalisation, and numeric ordering — on proposal preparation records in a single low-cost call. Ideal when you do not need live data lookup, prediction, or external enrichment, and your dataset is under 200 rows. The flat $0.01 USDC fee for all three reports makes it cost-efficient for batch QA workflows on proposal section data.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- row_id missing or empty — required field error
- completed_sections or planned_sections values outside allowed numeric range
- Invalid field enum value supplied (must be 'completed_sections' or 'planned_sections')
- Malformed JSON body causes request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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