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Ownership Record Completeness Data Quality Suite
x402
Ownership Record Completeness Data Quality Suite 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, normalises, and deduplicates up to 200 ownership record completeness rows (documented_links, required_links) and returns 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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
Three independent analytical reports: (1) a record quality audit highlighting completeness issues and anomalies in the ownership data, (2) a string normalisation report showing standardised company_group and other string fields, and (3) an exact row deduplication report identifying and removing identical rows — all derived locally from the supplied data with no external lookups.
Example use cases
Monthly ownership compliance data cleanup
“Before I submit our monthly ownership compliance report, can you audit these 50 ownership records for quality issues, normalise the company group strings, and flag any exact duplicate rows? I need all three reports back. The records have documented_links and required_links values across dates in October 2026.”
Deduplication check before database merge
“I'm about to merge two ownership record tables and I need to make sure there are no exact duplicate rows first. Can you run a deduplication check plus a quality audit on these 120 rows with their company_group, date, documented_links, and required_links fields?”
Data quality review for ownership audit trail
“Our auditors flagged concerns about dirty data in our ownership completeness records. Can you run a record quality audit, string normalisation, and exact row deduplication on these 80 rows covering multiple company groups and dates throughout 2026, and give me all three independent reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-191?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined data quality, normalisation, and deduplication pass on ownership completeness records (documented_links vs required_links) in a single low-cost call. Ideal for pre-processing before analytics, compliance reporting, or database merges where you want three auditing perspectives on the same dataset without live external lookups or predictions.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, documented_links, required_links) causes row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- documented_links or required_links values outside ±1,000,000,000,000 are rejected
- Submitting an empty rows array returns a minItems validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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