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Ownership Record Completeness — Trailing Mean Series + IQR Outlier Flags
x402
Ownership Record Completeness — Trailing Mean 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 2026-10-17).
Computes a trailing mean time series and IQR-based outlier flags for ownership record completeness metrics (documented_links, required_links) across up to 200 supplied rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Trailing mean series + IQR outlier flags: Trailing mean 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 independent analytical reports per call: (1) a trailing mean time series for the selected field (documented_links or required_links) computed over the specified rolling window, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range threshold — all derived from the supplied row data without external lookups.
Example use cases
Auditing ownership documentation gaps
“I have 120 rows of ownership records with documented_links and required_links per company group across the past year. Can you compute a trailing mean series with a window of 7 and flag any IQR outliers in the documented_links field so I can see where documentation completeness dips?”
Monitoring required links anomalies
“Run a trailing mean and IQR outlier analysis on my required_links data — I've got 80 rows across several company groups — use a window of 4. I want to spot which rows have unusually high or low required link counts compared to the rolling trend.”
Quarterly completeness trend review
“I need to review ownership record completeness for my quarterly audit. I have 200 rows covering two company groups, and I want a trailing mean series plus outlier flags on the documented_links field with a window of 10 — can you run that analysis?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-149?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of ownership record completeness data (documented_links and required_links) and need both a rolling/trailing mean time series and IQR-based outlier detection in a single low-cost call. It is ideal for data quality audits, compliance monitoring, and anomaly detection on corporate ownership records without requiring an external data source or live lookup.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maxItems limit
- Invalid date format (non-YYYY-MM-DD) — schema validation failure
- Window size larger than number of rows — insufficient data for trailing mean
- Missing required fields (row_id, date, documented_links, required_links) — validation error
- Non-numeric values in documented_links or required_links fields — type error
- Payment of 0.01 USDC not fulfilled — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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