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Customer Segment Observations — IQR Outlier Flags + Two-Measure Correlation
x402
Customer Segment Observations — IQR Outlier Flags + Two-Measure Correlation 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).
Runs IQR-based outlier detection and two-measure correlation analysis on customer segment observation rows (account_count, revenue_amount) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation for supplied customer segment observations records (account_count, revenue_amount). 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) IQR outlier flags identifying which rows have account_count or revenue_amount values outside the interquartile range, and (2) a two-measure correlation report quantifying the statistical relationship between account_count and revenue_amount across the supplied rows. No external data is fetched; all analysis is performed locally on the submitted rows.
Example use cases
Flagging outlier segments in revenue data
“I have a table of customer segment observations by company group and date — can you run IQR outlier detection on the revenue_amount field across all 120 rows and tell me which ones are statistical anomalies?”
Correlating accounts and revenue across groups
“I want to know if account_count and revenue_amount move together across my 80 customer segment records — can you compute a two-measure correlation on this data and give me the report?”
Quality check before segment reporting
“Before I finalize my quarterly segment report, can you run IQR outlier flagging and a correlation check on my 45 rows of account_count and revenue_amount data grouped by company_group?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-176?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both IQR-based outlier detection and two-measure correlation computed together in a single call on customer segment data (account_count, revenue_amount) for up to 200 rows, and you want two bundled reports at a low flat cost without any external data lookup or prediction.
Side effects
- Rows exceed 200-item limit — request rejected
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Null values in numeric fields may affect IQR and correlation calculations
- Insufficient variance in data may yield trivial or undefined correlation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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