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Ownership Record Completeness Analyzer — Quality Audit, String Normalization & Grouped Numeric Summary
x402
Ownership Record Completeness Analyzer — Quality Audit, String Normalization & Grouped Numeric Summary 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) via three local analytical reports: record quality audit, string normalization, and grouped numeric summary — up to 200 rows, no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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 three independent analytical reports for the submitted ownership record rows: (1) a record quality audit flagging missing, null, or malformed values; (2) a string normalization report for text fields like company_group and date; (3) a grouped numeric summary aggregating the chosen field (documented_links or required_links) across company_group categories. All analysis is performed locally with no external lookups.
Example use cases
Corporate ownership completeness audit
“I have ownership records for two company groups across Q4 — can you audit the data quality, normalize the string fields, and give me a grouped numeric summary of documented_links? Here are the rows: row-1, group-a, 2026-10-01, documented_links=10, required_links=5; row-2, group-b, 2026-10-01, documented_links=3, required_links=8; row-3, group-a, 2026-10-02, documented_links=null, required_links=5.”
Pre-report data validation for compliance team
“Before I submit our quarterly compliance report, can you run a quality audit and grouped summary on our link completeness records? We have 50 rows across 4 company groups with documented_links and required_links values — flag any missing or malformed data and give me summary stats grouped by company_group.”
Spotting coverage gaps in link documentation
“I want to understand which company groups are under-documenting their ownership links. Can you analyze these ownership completeness rows — run the record audit and grouped numeric summary on required_links — and highlight where documented_links consistently fall short of required_links?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-194?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 ownership record completeness rows and need three simultaneous analytical outputs — quality audit, string normalization, and grouped numeric summary — in a single low-cost call. Ideal for compliance teams, data stewards, or governance workflows that need to validate and summarize documented_links vs required_links data before reporting, without relying on external data sources or live lookups.
Side effects
- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Missing required fields (row_id, company_group, date, documented_links, required_links) — validation error
- Date field not in YYYY-MM-DD format — schema pattern validation failure
- Numeric fields outside allowed range (-1T to +1T) — validation error
- Empty rows array — minItems violation
- Invalid field enum value (must be 'documented_links' or 'required_links') — schema error
- Payment not included or insufficient — x402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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