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Customer Segment Observations — Grouped Numeric Summary + Category Frequencies
x402
Customer Segment Observations — Grouped Numeric Summary + Category Frequencies 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).
Analyzes customer segment observation records by computing grouped numeric summaries and category frequency distributions for account_count and revenue_amount fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Grouped numeric summary + Category frequencies: Grouped numeric summary + Category frequencies 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 analytical reports: (1) a grouped numeric summary showing aggregate statistics (e.g. mean, min, max, count) for the selected field (account_count or revenue_amount) broken down by company_group, and (2) a category frequency table showing how often each company_group appears across the supplied rows. Covers up to 200 input rows per call.
Example use cases
Revenue distribution across company groups
“I have a dataset of 80 customer segment records with company_group, date, and revenue_amount columns — can you give me a grouped numeric summary and category frequencies for revenue_amount so I can see how revenue is distributed across groups?”
Account count analysis by segment
“Here are my customer segment observations for Q3 — each row has a row_id, company_group, date, and account_count. Can you run a grouped numeric summary and category frequency report on account_count across all the segments?”
Comparing segment sizes for business review
“I need to prepare a business review and want to understand how many accounts each company group has. Can you take my 120 customer segment rows and compute both a grouped numeric summary and category frequencies for account_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-086?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular customer segment data (up to 200 rows) and need both grouped numeric statistics and category frequency counts in a single paid call. It is ideal for quick analytical summaries without needing a full BI tool or live database connection. Best when your data includes a grouping dimension (company_group) and numeric measures (account_count, revenue_amount).
Side effects
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) causes validation error
- More than 200 rows submitted exceeds limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array returns an error
- Invalid field enum value (not account_count or revenue_amount) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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