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Ownership Record Completeness — Adjacent Row Changes & IQR Outlier Flags
x402
Ownership Record Completeness — Adjacent Row Changes & IQR Outlier Flags 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).
Analyzes ownership record completeness data (documented_links, required_links) by computing adjacent row changes and IQR-based outlier flags across up to 200 supplied rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Adjacent row changes + IQR outlier flags: Adjacent row changes + IQR outlier flags 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
Two independent reports: (1) an adjacent row changes report showing delta values between consecutive records for the selected field, and (2) an IQR outlier flags report identifying rows whose values fall outside the interquartile range bounds — both computed locally against the supplied data, with no external lookups.
Example use cases
Audit ownership link completeness trends
“I have a series of 50 ownership records across several company groups spanning the last two months. Each row has documented_links and required_links counts. Can you run the adjacent row changes and IQR outlier detection on the documented_links field to see where completeness suddenly jumped or dropped?”
Flag data entry errors in required_links
“We just ingested 120 rows of ownership completeness data and I suspect some required_links values are erroneous outliers. Can you run both the adjacent row change analysis and IQR outlier flags on required_links so I can identify which rows to investigate?”
Detect anomalous shifts per company group
“I want to compare ownership documentation completeness across our three company groups over the past quarter — here are 80 rows with dates and documented_links values. Can you check for unusual adjacent changes and flag IQR outliers in the documented_links field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-157?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 ownership record completeness rows and need both adjacent-row change detection and IQR-based outlier flagging in a single call at low cost ($0.01 USDC). It is ideal for data quality audits on documented_links or required_links without requiring external data sources, predictions, or professional assessments.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — request rejected due to maxItems constraint
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, company_group, date, documented_links, required_links) — schema validation failure
- Field selector not one of 'documented_links' or 'required_links' — enum validation error
- Null values in numeric fields may affect IQR computation — partial results or NaN flags
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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