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Ownership Record Completeness — Daily Sum Series + IQR Outlier Flags
x402
Ownership Record Completeness — Daily Sum Series + 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 2026-10-16).
Analyzes ownership record completeness data (documented_links and required_links) to produce daily sum time series and flag statistical outliers using interquartile range (IQR) detection across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Daily sum series + IQR outlier flags: Daily sum series + 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 analytical reports for up to 200 supplied rows: (1) a daily sum time series aggregating the chosen field (documented_links or required_links) by date, and (2) IQR-based outlier flags identifying statistically anomalous dates. Both reports are derived entirely from the supplied data using local analytical engines — no external lookups or predictions.
Example use cases
Corporate ownership audit anomaly detection
“I have 120 rows of ownership record data with documented_links and required_links for several company groups across Q3 — can you compute the daily sums and flag any IQR outliers in documented_links so I can see which dates had abnormally low documentation?”
Compliance completeness trending for required links
“Run a daily sum series and IQR outlier analysis on my required_links field across these ownership records — I need to spot the days where required link counts were statistically out of range for our compliance review.”
Multi-group ownership data quality check
“I want to compare documented_links completeness across group-a and group-b for the past month — can you aggregate the daily sums and flag any outlier dates using IQR so I know where to investigate gaps?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-140?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have ownership record completeness data with documented_links and required_links fields and need both a daily aggregate time series and IQR-based outlier detection in a single low-cost call. Ideal for compliance auditing, data quality monitoring, or anomaly detection on ownership documentation without needing external data sources or predictions. Best suited for batch analytical jobs on up to 200 rows of structured time-series ownership data.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, documented_links, required_links) — validation error
- Date values not matching YYYY-MM-DD pattern — schema rejection
- Null or out-of-range numeric values beyond ±1,000,000,000,000 — rejected
- Insufficient data points for meaningful IQR calculation (very few rows)
- Payment of 0.01 USDC not completed — endpoint returns 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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