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Ownership Record Completeness Analyzer — String Normalisation & Date-by-Category Pivot
x402
Ownership Record Completeness Analyzer — 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 2026-11-04).
Runs two local analytical reports on ownership record completeness data: string normalisation of documented_links/required_links fields and a date-by-category pivot, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied ownership record completeness records (documented_links, required_links). 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 analytical reports: (1) a string-normalisation output for the selected field (documented_links or required_links) across all supplied rows, and (2) a date-by-category pivot summarising the selected metric grouped by company_group and date. No external lookups or predictions — results are computed locally from the supplied data.
Example use cases
Audit ownership documentation gaps by group
“I have 150 ownership records across group-a and group-b spanning Q4 2026, each with a date, documented_links count, and required_links count. Can you normalize the documented_links values and pivot them by date and company group so I can see where we're falling short?”
Monthly completeness report for compliance team
“Run two reports on our ownership completeness data for October 2026: normalize the required_links field and give me a date-by-category breakdown across all our company groups. I'll send you about 80 rows with row_id, company_group, date, documented_links, and required_links.”
Spot-check corporate link coverage before filing
“Before we submit our regulatory filing, can you take these 40 ownership rows and both normalize the documented_links strings and produce a pivot table grouped by company_group and date so we can verify coverage is complete?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local analytical processing of ownership completeness records — specifically string normalisation and date-by-category pivoting — without requiring live data lookups, ML predictions, or external integrations. Ideal for compliance workflows, regulatory audits, and data quality checks on corporate ownership link coverage where you already have the rows and simply need structured reports at minimal cost ($0.01 USDC for both reports).
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, documented_links, required_links) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejection
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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