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Customer Segment Observations — Adjacent Row Changes + Date by Category Pivot
x402
Customer Segment Observations — Adjacent Row Changes + 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).
Runs two analytical reports on customer segment data: adjacent row change detection 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 — Adjacent row changes + Date by category pivot: Adjacent row changes + 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) an adjacent row changes report showing how account_count or revenue_amount shifted between consecutive rows, and (2) a date-by-category pivot table cross-tabulating the selected metric by date and company_group. Both are computed locally from the supplied data with no external lookups.
Example use cases
Segment revenue trend detection
“I have 150 rows of customer segment data with dates, company groups, and revenue amounts — run the adjacent row changes and date-by-category pivot reports on the revenue_amount field so I can see how revenue shifted between consecutive records and across groups.”
Account count pivot by company group
“Can you take my customer segment observations — about 80 rows with account_count and company_group fields — and produce the adjacent row changes plus a date-by-category pivot using account_count? I want to see both breakdowns at once.”
Monthly segment performance summary
“I've got customer segment data for Q4 2026 across groups A and B with both account counts and revenue amounts. Run the two-report combo — adjacent changes and date pivot — on account_count so I can summarize performance across groups and dates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-160?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both adjacent row change analysis and a date-by-category pivot in a single call on customer segment data (account_count or revenue_amount), for up to 200 rows, at low cost ($0.01 USDC for both reports). Ideal when you have structured segment data already in hand and need fast, local analytical computation without external lookups or predictions.
Side effects
- Input exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Field value out of allowed numeric range — rejected
- Empty rows array — schema minimum items violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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