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Ownership Record Completeness — Quality Audit + Deduplication + Adjacent Changes
x402
Ownership Record Completeness — Quality Audit + Deduplication + Adjacent Changes 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 three analytical reports (record quality audit, exact row deduplication, adjacent row changes) on ownership record completeness data containing documented_links and required_links fields, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes 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 reports returned together: (1) a record quality audit flagging nulls, format issues, and anomalies in the ownership data; (2) an exact row deduplication report identifying identical records; (3) an adjacent row changes report showing how documented_links or required_links values shift between consecutive rows. All computed locally from the supplied data with no external lookups.
Example use cases
Corporate ownership audit for compliance team
“I need to check the quality of our ownership completeness records before the compliance review — can you run all three reports (quality audit, duplicate detection, and adjacent changes) on my 80 rows of documented_links and required_links data grouped by company group and date?”
Deduplication before data warehouse load
“Before I load this ownership dataset into the warehouse, can you check for exact duplicate rows in my completeness records and flag any quality issues? I have rows with company_group, date, documented_links, and required_links — about 150 records total.”
Tracking ownership link changes over time
“Can you analyze how my required_links values change between adjacent rows in this ownership completeness dataset? I want to see if there are unexpected jumps or drops across dates for each company group — I have 40 rows to check.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-217?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular ownership completeness data (documented vs required links) and need three simultaneous analytical passes — quality audit, deduplication, and adjacent-row change detection — in a single $0.01 call. Ideal for pre-load data validation, compliance audits, or change tracking on datasets up to 200 rows where no external data enrichment or live lookup is needed.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Invalid date format (non-YYYY-MM-DD) causes row validation failure
- Missing required fields (row_id, company_group, date, documented_links, required_links) causes schema rejection
- Numeric values outside the allowed range (-1e12 to 1e12) cause validation errors
- Empty rows array returns error
- Payment not included or insufficient USDC causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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