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Company Record Completeness — String Normalisation + Date by Category Pivot
x402
Company Record Completeness — String Normalisation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Normalises string fields and produces a date-by-category pivot report for up to 200 company record completeness rows, delivering two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied company record completeness records (populated_fields, required_fields). 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 analytical reports: (1) a string-normalised view of the supplied company record completeness data, and (2) a date-by-category pivot table showing the selected metric (populated_fields or required_fields) broken down by company_group across dates — all computed locally with no external lookups.
Example use cases
Completeness audit across business units
“I have 150 rows of company record data across three business groups with dates and populated_fields counts — can you normalise the strings and pivot the populated_fields by date and category so I can see which groups are improving over time?”
Required fields gap analysis by date
“Run a date-by-category pivot on my company completeness records using the required_fields column — I want to see how required field counts differ across company groups week by week so I can spot gaps.”
Data quality reporting for CRM cleanup
“We're cleaning up our CRM and I need two reports from our 80 company records: normalise the string fields and pivot the required_fields metric by date and company_group so the data team can prioritise which groups need attention.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and a date-by-category pivot on company record completeness data in a single low-cost call (0.01 USDC for two reports). It is ideal for batch offline analysis of up to 200 rows where no live data lookup, prediction, or external enrichment is needed — purely local analytical computation on supplied data.
Side effects
- Fewer than 1 or more than 200 rows supplied — validation error
- Date fields not matching YYYY-MM-DD pattern — schema rejection
- populated_fields or required_fields outside numeric bounds — validation error
- Invalid field enum value (not 'populated_fields' or 'required_fields') — schema rejection
- Missing required row fields (row_id, company_group, date) — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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