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Proposal Preparation Data Quality Suite — Record Audit, String Normalisation & Numeric Interval Filter
x402
Proposal Preparation Data Quality Suite — Record Audit, String Normalisation & Numeric Interval Filter 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 three independent data-quality reports (record quality audit, string normalisation, and numeric interval filter) 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 + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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 separate analytical reports delivered together: (1) a record quality audit flagging malformed, missing, or anomalous entries in the proposal preparation rows; (2) a string normalisation report identifying and correcting inconsistencies in text fields such as document_group; (3) a numeric interval filter report listing which rows have completed_sections or planned_sections values outside the specified minimum/maximum bounds. All processing is local with no external lookups.
Example use cases
Pre-submission proposal data audit
“I have 50 proposal preparation records with completed_sections and planned_sections values and I want to check them for quality issues, normalise any string fields, and flag any rows where completed_sections falls outside the range 0 to 500 before I submit — can you run all three checks?”
Cleaning document group labels
“My proposal dataset has inconsistent casing and whitespace in the document_group field across 120 rows — can you run the string normalisation report along with the record quality audit so I can see which rows need fixing?”
Filtering out-of-range planned sections
“I need to find all proposal rows where planned_sections is below 1 or above 200 — can you run the numeric interval filter on the planned_sections field across my 80 proposal records, with minimum 1 and maximum 200, and also give me the quality audit?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-08-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 proposal preparation records and need all three data-quality operations — record auditing, string normalisation, and numeric range filtering — in a single low-cost call. It is purpose-built for the completed_sections and planned_sections schema and requires no external data sources or live lookups, making it fast and deterministic. Prefer it over generic data-quality tools when your data is already structured in the expected proposal preparation format.
Side effects
- Fewer than 1 row submitted — minItems violation returns validation error
- More than 200 rows submitted — maxItems exceeded returns rejection
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside ±1,000,000,000,000 range rejected
- Invalid field enum value (anything other than completed_sections or planned_sections) causes schema error
- Missing required fields (row_id, date, document_group) cause per-row rejection
- Payment of 0.01 USDC not provided — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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