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Ownership Record Completeness — Secondary-Measure Weighted Mean + Keyed Dataset Comparison
x402
Ownership Record Completeness — Secondary-Measure Weighted Mean + 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 2026-11-04).
Computes a secondary-measure weighted mean and performs a keyed dataset comparison on ownership record completeness data (documented_links vs required_links), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Secondary-measure weighted mean + Keyed dataset comparison: Secondary-measure weighted mean + 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 analytical reports: (1) a secondary-measure weighted mean computed over the supplied ownership record completeness rows on the selected field (documented_links or required_links), and (2) a keyed dataset comparison between the primary and secondary row sets, highlighting differences by row key. Both reports are generated using local analytical engines with no external data lookups.
Example use cases
Quarterly ownership completeness audit
“I have two quarterly snapshots of our ownership records, each with up to 150 rows containing company_group, date, documented_links, and required_links. Can you run a weighted mean on the documented_links field and compare the two datasets by key to see which companies improved or regressed?”
Cross-entity link documentation gap analysis
“We track documented versus required ownership links for about 80 company groups across multiple dates. Can you compute a secondary-measure weighted mean on required_links and do a keyed comparison against our baseline dataset to highlight any completeness gaps?”
Regulatory compliance data reconciliation
“We need to reconcile two ownership record datasets for compliance — the primary has 120 rows and the secondary has 120 rows, both with row_id, company_group, date, documented_links, and required_links. Run a weighted mean on documented_links and produce a keyed comparison report showing where the two datasets differ.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-186?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously compute a weighted mean on a secondary measure and compare two keyed ownership record datasets in a single API call. It is purpose-built for ownership completeness metrics (documented_links vs required_links) and handles up to 200 rows per dataset. Prefer it over generic analytics tools when you want a cost-effective ($0.01 USDC for both reports), self-contained, offline analysis with no external data dependencies.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, company_group, date, documented_links, required_links) — row rejected or error returned
- Invalid date format (not YYYY-MM-DD) — validation error
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Empty rows array — error returned
- Payment not included or insufficient — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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