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Ownership Record Completeness — Record Quality Audit + Numeric Distribution
x402
Ownership Record Completeness — Record Quality Audit + Numeric Distribution 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 local analytical reports (record quality audit and numeric distribution) on supplied ownership record completeness data (documented_links, required_links) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution 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 reports for the submitted rows: (1) a record quality audit identifying missing, null, or out-of-range values and invalid rows, and (2) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram buckets) for the selected field (documented_links or required_links). No external lookups or predictions are made — all analysis is performed locally on the supplied data.
Example use cases
Pre-reporting ownership data quality check
“I need to audit the quality of our ownership records before submitting the quarterly compliance report. Here are 50 rows with row_id, company_group, date, documented_links, and required_links — run both the quality audit and the numeric distribution on the documented_links field and flag any bad rows.”
Spotting incomplete link documentation by group
“We have ownership completeness data for group-a and group-b going back six months. Can you run a record quality audit and numeric distribution on required_links across all 120 rows so I can see which groups are underreporting?”
Validating freshly ingested ownership records
“We just ingested a new batch of 80 ownership records into our system. Can you check the data quality and give me a numeric distribution on documented_links to make sure everything looks clean before we use it downstream?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-004?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost ($0.01 USDC) dual-report analysis — quality audit plus numeric distribution — on ownership record completeness data (documented_links and required_links) without any live external lookups. It is ideal for pre-reporting data validation, batch record hygiene checks, and distribution profiling on small to medium datasets (up to 200 rows). Prefer alternatives if you need predictions, real-time lookups, or datasets larger than 200 rows.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — exceeds batch limit, request rejected
- Missing required fields (row_id, date, documented_links, required_links) — row-level validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Invalid field enum value (not documented_links or required_links) — request error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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