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Proposal Preparation Data Quality & Correlation Analysis
x402
Proposal Preparation Data Quality & Correlation Analysis 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 analytical reports on proposal preparation records: a record quality audit, string normalisation, and two-measure correlation between completed_sections and planned_sections.
Price / call$0.01
Success—
StatusUnknown
How this service works
Proposal preparation — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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: (1) a record quality audit highlighting missing values, type issues, and anomalies across all rows; (2) a string normalisation report standardising document_group and other string fields; (3) a two-measure correlation report quantifying the statistical relationship between completed_sections and planned_sections across the supplied rows. All reports are generated from the supplied data only — no external lookups or predictions.
Example use cases
Pre-submission proposal data audit
“Before we submit the quarterly grant proposals, can you run a quality audit and string normalisation on our proposal tracking records? We have about 80 rows with document groups, dates from 2025-01-01 to 2025-03-31, and counts of planned vs completed sections.”
Correlation check on proposal progress
“I want to know how closely our planned section targets track against actual completed sections across our proposal pipeline — can you run a two-measure correlation on these 120 rows of proposal data with document groups and dates?”
Data cleanliness check before reporting
“We're pulling together a proposal status report and I need to make sure the underlying data is clean first — can you do a record quality audit and string normalisation on these 45 proposal records covering groups alpha, beta, and gamma with dates in 2024?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-08-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined quality audit, string normalisation, and correlation analysis on proposal preparation records (with completed_sections and planned_sections fields) in a single call at low cost ($0.01 USDC). It is ideal for pre-reporting data hygiene checks on batches of up to 200 proposal rows. Prefer it over general-purpose analytics tools when your data conforms to the proposal preparation schema and you want three bundled reports without external data dependencies.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, completed_sections, planned_sections) cause rejection
- Dates not matching YYYY-MM-DD pattern fail schema validation
- Null values in both numeric fields across all rows may produce degenerate correlation results
- Empty rows array (minItems:1 not met) returns a schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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