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Ownership Record Completeness — Deduplication & Missing-Value Fill
x402
Ownership Record Completeness — Deduplication & Missing-Value Fill 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).
Deduplicates ownership records by exact row matching and fills missing values in documented_links or required_links fields using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill 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 analytical reports covering the supplied ownership records: one reflecting exact row deduplication results and one reflecting explicit missing-value fill for the chosen field (documented_links or required_links) using the specified method (zero, mean, or median). No external lookups or live data are involved — all analysis is performed on the submitted rows only.
Example use cases
Cleaning corporate ownership link audit data
“I have 120 ownership completeness records across several company groups with some duplicate rows and missing documented_links values — can you deduplicate them exactly and fill the missing values using median, then give me two reports?”
Imputing missing required_links for compliance reporting
“My required_links column has some nulls in this ownership dataset of about 80 rows. Deduplicate the rows exactly and fill those missing required_links values with zero so I can submit a clean compliance report.”
Preparing ownership data for downstream pipeline
“Before I feed this 200-row ownership record dataset into our analytics pipeline, I need exact duplicates removed and any missing documented_links filled using mean imputation — can you run that and give me the two completeness reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-054?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have ownership record data with documented_links and required_links metrics that need both exact-row deduplication and explicit missing-value imputation in a single call. Ideal for small-to-medium batches (up to 200 rows) where you want two independent analytical reports without any external data lookups or predictions. Prefer this over generic data-cleaning tools when the domain is specifically ownership completeness tracking with the defined schema.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, company_group, date) — validation failure
- Invalid fill method or field enum value — rejected
- Numeric values outside ±1,000,000,000,000 range — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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