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Company Record Completeness — Trailing Mean Series + IQR Outlier Flags
x402
Company 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 2026-10-15).
Computes trailing moving averages and IQR-based outlier flags for company record completeness metrics (populated_fields or required_fields) across up to 200 supplied rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Trailing mean series + IQR outlier flags: Trailing mean series + IQR outlier flags for supplied company record completeness records (populated_fields, required_fields). 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 covering: (1) a trailing moving average series computed over the specified window for the chosen field, and (2) IQR-based outlier flags marking which rows fall outside the interquartile range — both derived purely from the supplied input rows with no external data lookup.
Example use cases
Data quality audit across business units
“I have 120 rows of completeness data across our company groups — can you run a trailing mean with window 7 and flag any IQR outliers in the populated_fields so I can see which groups are consistently underperforming?”
Monitoring required fields completeness drift
“Here are 80 records tracking required_fields completeness over the last quarter. Run a trailing mean series with window size 4 and flag IQR outliers so I can catch any sudden drops in data quality.”
Pre-migration data readiness check
“Before we migrate, I need to know which of these 200 company records are statistical outliers in terms of populated_fields completeness — use a window of 10 for the trailing mean and apply IQR outlier flags.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-149?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected company record completeness data (populated_fields or required_fields) and need both a rolling mean trend and IQR outlier detection in a single call. It is ideal for offline/batch data quality analysis where no live lookup or external data enrichment is needed. Prefer this over generic stats tools when you want two bundled reports (trailing mean + IQR flags) at low cost for up to 200 rows.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- Window size smaller than 2 or larger than number of rows — may yield degenerate results
- Invalid date format (non YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) — validation error
- Null numeric values may affect mean and IQR calculations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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