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Customer Segment Observations — Grouped Numeric Summary + Trailing Mean Series
x402
Customer Segment Observations — Grouped Numeric Summary + Trailing Mean Series 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 a grouped numeric summary and a trailing mean series for customer segment observation data (account_count or revenue_amount) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Grouped numeric summary + Trailing mean series: Grouped numeric summary + Trailing mean series 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 reports: (1) a grouped numeric summary aggregating account_count or revenue_amount by company_group (e.g. mean, min, max, count), and (2) a trailing mean series showing the rolling average of the selected field over the specified window size. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Revenue trend analysis by segment
“I have daily revenue data broken out by company group for the past quarter — can you give me a grouped numeric summary and trailing mean series for revenue_amount with a window of 7 so I can see which segments are trending up or down?”
Account count summary for executive report
“I need a grouped statistical summary and trailing mean (window of 3) for account_count across my customer segments — I'll send you rows with row_id, date, company_group, and account_count. This is for an executive summary report.”
Segment performance monitoring over time
“Can you analyze this batch of customer segment observations and produce both a grouped numeric summary and a trailing mean series for account_count using a window of 5? I want to spot which company groups are consistently growing.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-090?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have customer segment observation data (with company_group, date, account_count, revenue_amount fields) and need both a grouped statistical summary and a rolling/trailing mean series in a single call for up to 200 rows. It is ideal for lightweight, local analytical reporting without any external data lookup, prediction, or live data requirements. Prefer this over general-purpose analytics services when cost-efficiency ($0.01 USDC for 2 reports) and simplicity matter.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — request will be rejected or truncated
- Invalid date format (must be YYYY-MM-DD)
- Missing required fields (row_id, company_group, date, account_count, revenue_amount)
- Window size less than 2 or greater than 200
- Null values in numeric fields may affect aggregation results
- Invalid field enum value (must be 'account_count' or 'revenue_amount')
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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