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Customer Segment Observations — Daily Sum Series + Trailing Mean Series
x402
Customer Segment Observations — Daily Sum Series + 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 2026-10-16).
Computes daily sum series and trailing mean series for customer segment observation records (account_count, revenue_amount) grouped by company segment, up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Daily sum series + Trailing mean series: Daily sum series + 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 independent analytical reports: (1) a daily sum series aggregating the chosen field (account_count or revenue_amount) by date, and (2) a trailing mean series computed over the specified window size — both derived from the supplied customer segment rows without any external data lookup.
Example use cases
Weekly revenue smoothing by segment
“I have daily revenue data across two company groups for the past quarter — can you produce both the daily sum series and a trailing mean with a window of 7 for revenue_amount so I can see the smoothed trend?”
Account count trend for SaaS cohorts
“Here's my customer segment data with account counts per company group by date — run a daily sum and a 14-day trailing mean on account_count so I can spot growth trends across cohorts.”
Monthly reporting for finance dashboard
“Can you take my segment observations CSV (up to 150 rows) and compute the daily sum plus a 30-day rolling average for revenue_amount, grouped by company group, for our finance team's dashboard?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-136?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured customer segment observation records and need both a daily aggregation and a smoothed rolling average in a single low-cost call ($0.01 USDC for both reports). Ideal for offline/batch analytics on up to 200 rows where no live data lookup or prediction is needed — purely local computation on supplied data.
Side effects
- Missing required row fields (row_id, date, company_group) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds the limit and is rejected
- Window value outside the range 2–200 causes a validation error
- Null values in the selected field may affect aggregation results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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