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Customer Segment Observations — Grouped Numeric Summary + Date by Category Pivot
x402
Customer Segment Observations — Grouped Numeric Summary + Date by Category Pivot 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).
Generates two analytical reports for customer segment data: a grouped numeric summary and a date-by-category pivot, covering account_count or revenue_amount fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Grouped numeric summary + Date by category pivot: Grouped numeric summary + Date by category pivot 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: (1) a grouped numeric summary aggregating account_count or revenue_amount statistics by company_group, and (2) a date-by-category pivot showing the selected metric broken down by date and company_group — all computed locally from the supplied rows with no external data lookup.
Example use cases
Monthly revenue breakdown by segment
“I've got monthly customer segment data for three company groups with revenue_amount and account_count columns — can you give me a grouped numeric summary and a date pivot on revenue_amount so I can see how each group is trending?”
Account count audit across customer groups
“Run a grouped summary and a date-by-category pivot on my customer segment records using the account_count field — I have about 150 rows across group-a and group-b with dates from last quarter.”
Comparing segment performance for board report
“I need two quick analytical reports on our customer segment observations — a grouped numeric summary and a date pivot — using revenue_amount across all our company groups; I'll supply the rows, there are around 80 of them.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-097?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected customer segment observation records (with company_group, date, account_count, and/or revenue_amount) and need both a grouped numeric summary and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytics on supplied data rather than live data retrieval. Prefer it over general-purpose analytics tools when you want two complementary reports for up to 200 rows at a fixed cost of $0.01 USDC.
Side effects
- More than 200 rows supplied — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside the allowed range (±1,000,000,000,000) rejected
- Empty rows array returns an error
- Invalid field enum value (anything other than account_count or revenue_amount) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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