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Customer Segment Observations — Daily Sum Series + Adjacent Row Changes
x402
Customer Segment Observations — Daily Sum Series + Adjacent Row Changes 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 daily sum series and adjacent row changes for customer segment observation records (account_count, revenue_amount) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Daily sum series + Adjacent row changes: Daily sum series + Adjacent row changes 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 reports for the supplied data: (1) a daily sum series aggregating the chosen metric (account_count or revenue_amount) by date, and (2) adjacent row changes showing the difference between consecutive rows — all computed locally from the provided data without external lookups.
Example use cases
Daily revenue trend by segment
“I have 50 rows of customer segment observations with dates, company groups, and revenue amounts — can you compute the daily sum series and show me how revenue changes between adjacent days for the revenue_amount field?”
Account count growth tracking
“Run the daily sum and adjacent row change analysis on my customer segment data for account_count — I have records from October across groups like 'enterprise' and 'smb' and want to see how the totals shift day by day.”
Segment performance comparison report
“I need two analytical reports on my customer segment observations: the daily sum series and the adjacent row deltas, both for the account_count field across about 120 rows spanning Q4.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-137?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a daily aggregation (sum series) and a sequential delta (adjacent row changes) computed together on customer segment observation data in a single low-cost call. Ideal for BI pipelines that need quick day-over-day trend analysis on segment-level account or revenue data without setting up a local analytics environment.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) cause validation errors
- Invalid date format (non-YYYY-MM-DD) causes parsing failure
- Numeric values outside ±1,000,000,000,000 range cause schema validation errors
- Invalid field selector (not 'account_count' or 'revenue_amount') returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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