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Ownership Record Completeness Analyzer — Base-100 Index + Missing Value Fill
x402
Ownership Record Completeness Analyzer — Base-100 Index + 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 2026-10-17).
Computes a base-100 index series and fills missing values for ownership record completeness data (documented_links vs required_links), producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Base-100 series + Explicit missing-value fill: Base-100 series + 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: (1) a base-100 normalized index series where the specified base row equals 100 and all other rows are scaled proportionally, and (2) an explicit missing-value fill report where null documented_links or required_links values are replaced using the chosen method (zero, mean, or median). Both reports cover up to 200 input rows and are computed locally without external lookups.
Example use cases
Monthly ownership completeness trend report
“I have monthly ownership records for three company groups from 2025 — can you build a base-100 index series starting from January (row index 0) for the documented_links field, and fill in any missing values using the median? Here are the rows with row_id, company_group, date, documented_links, and required_links.”
Missing data imputation before compliance audit
“Before our compliance audit, I need to fill in all null required_links values in our ownership dataset using zero imputation — can you run that over these 50 rows and give me the cleaned output alongside the base-100 index?”
Cross-group ownership documentation benchmarking
“Can you index our ownership completeness records to 100 at row 5 for the documented_links field, using mean to fill missing values, so we can benchmark group-a against group-b across the last quarter's dates?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-169?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a base-100 normalization of ownership completeness time series AND missing value imputation in a single $0.01 call, without requiring any live data lookup, prediction, or external service. It is ideal for offline batch preparation of ownership link records (up to 200 rows) before compliance reporting, audit, or further analytics. Prefer alternatives if you need real-time enrichment, predictive scoring, or more than 200 rows per call.
Side effects
- More than 200 rows submitted — API rejects with validation error
- base_index references a row index that doesn't exist in the submitted array
- All values for the selected field are null — mean/median imputation cannot be computed
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, documented_links, required_links) cause rejection
- Payment of 0.01 USDC not included or fails — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| base_index | integer |
Tags
x402
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