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Ownership Record Completeness Audit — Quality, Normalisation & Row Ordering
x402
Ownership Record Completeness Audit — Quality, Normalisation & Row Ordering 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).
Audits ownership record completeness data (documented_links vs required_links) with record quality checks, string normalisation, and numeric row ordering across up to 200 rows, returning 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied ownership record completeness records (documented_links, required_links). 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
Returns 3 independent analytical reports for the supplied rows: (1) a record quality audit flagging missing, null, or malformed values; (2) a string normalisation report standardising company_group and other string fields; and (3) a numeric row ordering report ranking rows by the selected field (documented_links or required_links). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Ownership gap detection for compliance
“I have a batch of ownership records for two company groups showing how many links are documented versus required — can you run a full quality audit and row ordering on all 50 rows so I can see where documentation is falling short? The field I care about is documented_links.”
Normalising messy company group labels
“My ownership dataset has inconsistent company group names like 'Group A', 'group-a', and 'GROUP A' across 120 rows — can you run string normalisation on these records so I get a clean, consistent output? Each row has a date, row_id, documented_links, and required_links.”
Ranking subsidiaries by link count
“I need to rank 80 ownership records from our subsidiary tracking sheet by their required_links values from highest to lowest — can you run the numeric row ordering report on these rows and also flag any data quality issues?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular ownership completeness records (documented vs required links) and need simultaneous quality auditing, string normalisation, and numeric ordering without any external data lookups or live predictions. Ideal for batch validation of up to 200 rows at very low cost ($0.01 for 3 reports). Prefer this over general-purpose data tools when your data specifically tracks documented_links and required_links across company groups and dates.
Side effects
- More than 200 rows submitted — endpoint rejects input exceeding maxItems limit
- Missing required fields (row_id, date, company_group, documented_links, required_links) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Null numeric values for both documented_links and required_links may reduce usefulness of ordering report
- Invalid enum value for 'field' parameter causes schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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