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Customer Segment Observations — Numeric Distribution + IQR Outlier Flags
x402
Customer Segment Observations — Numeric Distribution + 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 2026-10-20).
Computes numeric distribution statistics and IQR-based outlier flags for up to 200 customer segment observation rows across account_count or revenue_amount fields, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Numeric distribution + IQR outlier flags: Numeric distribution + IQR outlier flags 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
Two analytical reports per call: (1) numeric distribution statistics (e.g. min, max, mean, median, quartiles) for the selected field (account_count or revenue_amount), and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range bounds — all computed locally against the supplied data rows.
Example use cases
Outlier detection in monthly revenue data
“I have monthly revenue figures for our customer segments by company group — can you run a numeric distribution analysis and flag any IQR outliers in the revenue_amount field? I'll give you up to 150 rows of data.”
Account count anomaly check for segment report
“Before I send out the segment report, can you check this dataset of account counts for statistical outliers using IQR? It's about 80 rows with account_count and company_group per date.”
Distribution summary for segment QA pipeline
“As part of our data QA, I need a numeric distribution breakdown plus IQR outlier flags for these customer segment observations — please analyze the account_count field across all the rows I'm submitting.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-080?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, self-contained statistical distribution analysis and IQR outlier detection on customer segment data (account_count or revenue_amount) without any external lookup or model inference — ideal for data quality checks, QA pipelines, or segment reporting on batches up to 200 rows at very low cost ($0.01 USDC for two reports).
Side effects
- Exceeding 200 rows returns an error or truncates input
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) causes validation failure
- Invalid date format (not YYYY-MM-DD) rejected by schema
- Null values in the selected numeric field may affect distribution calculations
- Payment failure (insufficient USDC) blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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