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Customer Segment Observations — Daily Sum Series + Date by Category Pivot
x402
Customer Segment Observations — Daily Sum Series + 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 2026-10-16).
Generates two analytical reports from customer segment data: a daily sum time series and a date-by-category pivot table, for up to 200 rows of account_count or revenue_amount data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Daily sum series + Date by category pivot: Daily sum series + 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 returned together: (1) a daily sum time series showing the selected metric (account_count or revenue_amount) aggregated by date, and (2) a date-by-category pivot table cross-tabulating dates against company_group values. Both reports are computed locally from the supplied rows with no external data lookup.
Example use cases
Monthly revenue pivot by segment
“I have our monthly customer segment observations across two groups — SaaS and Enterprise — with revenue amounts for each day in October. Can you produce both a daily sum series and a date-by-category pivot for the revenue_amount field so I can see how each segment contributed over time?”
Daily account count trend report
“Here are 150 rows of customer segment data with dates and account counts across our three company groups. Please run a daily sum series and a pivot of date by company group on the account_count field so I can track how our customer base is growing each day.”
Segment performance comparison dashboard
“I need two quick reports from our Q4 segment data: a daily sum time series and a date-by-category pivot — both using the revenue_amount field — across our five customer groups. I'll give you up to 200 rows. Can you compute those for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-143?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have up to 200 rows of customer segment observation data and need both a daily sum time series AND a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal when your data is already structured with date, company_group, and one of account_count or revenue_amount, and you want local analytical computation with no external dependencies, live lookups, or predictions. Prefer this over building your own aggregation when you want packaged dual-report output for business intelligence or reporting workflows.
Side effects
- Input array is empty or missing (minItems: 1 not met)
- More than 200 rows supplied (maxItems exceeded)
- Invalid date format — must match YYYY-MM-DD pattern
- Missing required fields: row_id, company_group, date, account_count, or revenue_amount
- Invalid field enum value — must be 'account_count' or 'revenue_amount'
- Numeric values out of allowed range (±1,000,000,000,000)
- row_id exceeds 80 characters or is empty
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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