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Ownership Record Completeness — Adjacent Row Changes + Secondary-Measure Weighted Mean
x402
Ownership Record Completeness — Adjacent Row Changes + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).
Computes adjacent row changes and secondary-measure weighted mean analytics on ownership record completeness data (documented_links, required_links) for up to 200 rows in two reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean 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) adjacent row changes showing differences between consecutive rows for the selected field, and (2) a secondary-measure weighted mean computed across the supplied ownership record completeness data. Both reports are derived from the supplied rows without external lookups.
Example use cases
Ownership link gap trend detection
“I have a series of daily ownership records for two company groups over the past week — each row has documented_links and required_links counts. Can you run the adjacent row changes analysis on the documented_links field so I can see where big jumps or drops occurred?”
Weighted completeness benchmark by group
“Calculate the secondary-measure weighted mean for my ownership completeness dataset — I've got 12 rows across three company groups with documented_links and required_links for each date, and I want to use required_links as the field to weight against.”
Dual-report completeness audit
“I need both analytical reports on my ownership record completeness data — adjacent row changes plus weighted mean — for 50 rows of documented_links and required_links entries spanning October 2026 across four company groups. Can you run both at once?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-159?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous local statistical analyses — adjacent row change detection and weighted mean computation — on ownership record completeness data with documented and required link counts, without needing any live external data lookups or predictions. Best suited for batch audit workflows processing up to 200 rows at $0.01 per call.
Side effects
- Exceeding 200 rows returns an error or truncation
- Missing required fields (row_id, date, documented_links, required_links) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Null values in numeric fields may affect weighted mean calculation
- Field enum value outside 'documented_links' or 'required_links' causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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