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Ownership Record Completeness — Record Quality Audit + Keyed Dataset Comparison
x402
Ownership Record Completeness — Record Quality Audit + 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 independent analytical reports on ownership record completeness data: a record quality audit and a keyed dataset comparison between two supplied datasets, for up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Record quality audit + Keyed dataset comparison: Record quality audit + 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 record quality audit identifying issues such as nulls, outliers, or inconsistencies in the supplied ownership records, and (2) a keyed dataset comparison highlighting differences between the primary and secondary datasets matched by row_id, company_group, and date — covering documented_links and required_links values across up to 200 rows.
Example use cases
Quarterly ownership completeness audit
“I have 150 rows of ownership records for our portfolio companies from Q3 2026, each with a row_id, company_group, date, documented_links count, and required_links count. Can you run a record quality audit on them to flag any completeness or consistency issues?”
Pre-merger ownership data comparison
“We have two versions of our ownership link records for the same set of companies — one from our internal system and one from the target company — both keyed by row_id, company_group, and date. Can you compare the documented_links and required_links values across the two datasets and tell me where they differ?”
Compliance gap detection across company groups
“Can you analyze our ownership documentation records for groups Alpha Corp and Beta Holdings across the past month — I'll supply both a primary and a comparison dataset with documented_links and required_links per row — and give me both a quality audit report and a keyed comparison showing where our documented links fall short of required links?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local analytical processing of ownership record completeness data — specifically when you want both a quality audit and a keyed comparison between two datasets in a single low-cost call. It is best suited for batch data already in hand (up to 200 rows) with no need for live lookups, external data enrichment, or professional assessment. Prefer this over general-purpose data tools when your data already conforms to the documented_links / required_links schema and you need structured dual reports.
Side effects
- Input arrays exceed 200 rows — request will be rejected
- Missing required fields (row_id, company_group, date, documented_links, required_links) in any row causes validation error
- Date fields not matching YYYY-MM-DD pattern will fail schema validation
- Numeric values outside the allowed range (±1,000,000,000,000) cause rejection
- Empty rows array (minItems: 1 not met) returns error
- Mismatched row_ids between primary and comparison dataset may result in unmatched keys in comparison report
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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