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Customer Segment Observations — Grouped Numeric Summary + Adjacent Row Changes
x402
Customer Segment Observations — Grouped Numeric Summary + 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).
Runs two local analytical reports on customer segment observation rows: a grouped numeric summary (by company group) and an adjacent row changes report, covering account_count and revenue_amount fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + 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 analytical reports: (1) a grouped numeric summary of the selected field (account_count or revenue_amount) broken down by company_group, including aggregates like count, sum, mean, min, and max; and (2) an adjacent row changes report showing the difference in the selected field between consecutive rows, identified by row_id and date. Up to 200 rows processed per call.
Example use cases
Segment revenue aggregation by group
“I've got 50 rows of customer segment data with dates, company groups, and revenue_amount values — can you give me a grouped numeric summary of revenue_amount across all company groups and also show me how revenue changes between adjacent rows?”
Account count trend change detection
“Here are my customer segment observation records for Q3 — please run the grouped numeric summary and the adjacent row changes report on the account_count field so I can see both the group-level stats and where the biggest jumps between consecutive rows happened.”
Multi-group segment comparison
“I need to compare account_count performance across group-a, group-b, and group-c using my 80 rows of observation data — can you compute the grouped numeric summary and flag the adjacent row changes for account_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-091?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 customer segment observation records and need both a grouped aggregate summary by company group AND a row-over-row change report in a single $0.01 call. It is ideal when you want two complementary analytical views on the same dataset without external data lookups, predictions, or model inference — purely local, deterministic computation on your supplied rows.
Side effects
- Missing required row fields (row_id, company_group, date, account_count, revenue_amount) causes validation error
- More than 200 rows submitted exceeds the maxItems limit
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Null values in the selected numeric field may be excluded or flagged in aggregation
- Invalid field enum value (not 'account_count' or 'revenue_amount') causes rejection
- Payment failure or insufficient USDC balance blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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