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Ownership Record Completeness — Date×Category Pivot + Keyed Dataset Comparison
x402
Ownership Record Completeness — Date×Category Pivot + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Runs two analytical reports on ownership record completeness data: a date-by-category pivot table and a keyed dataset comparison, for up to 200 rows of documented_links and required_links data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison 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
Returns two independent analytical reports: (1) a date-by-category pivot table aggregating the selected field (documented_links or required_links) across company groups and dates, and (2) a keyed dataset comparison highlighting differences between the primary and secondary supplied datasets. Both reports are computed locally with no external lookups.
Example use cases
Auditing ownership link coverage gaps
“I have two batches of ownership records — a primary set and a comparison set — each with row_id, company_group, date, documented_links, and required_links. Can you pivot the primary set by date and company group on the documented_links field, and also diff the two datasets keyed by row to spot where coverage has changed?”
Monthly compliance completeness review
“Run a date-by-category pivot on my ownership completeness data for the required_links field across these 80 rows, and compare them against last month's snapshot so I can see which company groups have improved or degraded their link coverage.”
Cross-group documentation tracking
“I need to cross-tabulate documented_links by company group and date for our Q3 ownership records — about 150 rows — and also compare the primary dataset against our target dataset row-by-row to flag any discrepancies in documented vs required links.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-188?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a date-by-category pivot and a row-keyed dataset comparison on ownership record completeness data (documented_links and required_links) in a single $0.01 call. It is purpose-built for ownership link coverage analytics on supplied data only — no live lookups or external data fetching. Ideal for compliance audits, coverage gap analysis, and change tracking between two snapshots of up to 200 rows.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, company_group, date, documented_links, required_links) in any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Payment not provided or insufficient USDC — 402 payment required response
- Null numeric values in both datasets may produce incomplete comparison output
- Empty rows array — minimum 1 row required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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