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Ownership Record Completeness — Category Frequencies + Trailing Mean Series
x402
Ownership Record Completeness — Category Frequencies + Trailing Mean Series 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).
Analyzes ownership record completeness data (documented_links, required_links) by computing category frequency distributions and a trailing mean time series, returning two independent statistical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series 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 independent analytical reports: (1) a category frequency table showing how documented_links or required_links values are distributed across company groups and dates, and (2) a trailing mean time series computed over the specified window size — both derived entirely from the supplied input rows with no external data lookups.
Example use cases
Ownership documentation audit by group
“I have 80 rows of ownership record data with company groups and dates — can you compute category frequencies and a trailing mean series for documented_links with a window of 5 so I can see which groups are falling behind on documentation?”
Required links completeness trend analysis
“Run a trailing mean and frequency breakdown on my required_links data across company groups — I've got about 150 rows spanning six months and want to spot any deteriorating completeness trends using a window of 3.”
Comparative completeness reporting across subsidiaries
“I need two statistical reports on ownership record completeness for our subsidiary data: category frequencies and a rolling mean for documented_links, window of 7, across these 60 rows with company_group and date columns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-103?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local statistical analysis of ownership record completeness data (documented_links and required_links) and want both a categorical frequency breakdown and a rolling mean time series in a single $0.01 call. It is ideal for batch audits of up to 200 rows without requiring any external data enrichment, prediction, or live lookups. Prefer it over general-purpose analytics tools when you want a cheap, pre-packaged dual-report output for corporate ownership documentation metrics specifically.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, documented_links, required_links) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Window size outside 2–200 range causes parameter rejection
- All null values in the target field may produce empty or degenerate series
- Malformed JSON body returns HTTP 400
- Payment not attached or insufficient USDC balance returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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