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Customer Segment Observations — Grouped Numeric Summary + Keyed Dataset Comparison
x402
Customer Segment Observations — Grouped Numeric Summary + Keyed Dataset Comparison 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 data: a grouped numeric summary and a keyed dataset comparison, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Grouped numeric summary + Keyed dataset comparison: Grouped numeric summary + Keyed dataset comparison 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 chosen field (account_count or revenue_amount) broken down by company_group, and (2) a keyed dataset comparison between the primary rows and a second supplied dataset, both computed locally without external lookups.
Example use cases
Monthly revenue comparison by segment
“I have two months of customer segment data, each with up to 150 rows tagged by company_group, date, and revenue_amount — can you run a grouped numeric summary and compare the two datasets on the revenue_amount field so I can see how each segment changed?”
Account count audit across snapshots
“Compare my two snapshots of customer segment observations on account_count — each snapshot has rows with row_id, company_group, date, account_count, and revenue_amount. Give me the grouped summary and the keyed comparison so I can spot discrepancies.”
Segment performance grouped aggregation
“Group my customer segment rows by company_group and summarize the account_count numbers — I also have a second dataset I want to compare against using a keyed comparison. Both datasets have under 200 rows with fields: row_id, company_group, date, account_count, revenue_amount.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-098?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical reports — a grouped numeric summary and a keyed dataset comparison — on customer segment data (account_count or revenue_amount) without needing external data enrichment, predictions, or live lookups. Ideal for batch comparison of two time periods or data snapshots up to 200 rows each at a very low fixed cost.
Side effects
- Exceeding 200 rows per dataset returns a validation error
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) causes rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Selecting a field not in the enum (account_count or revenue_amount) causes an error
- Numeric values outside the allowed range (-1T to +1T) are rejected
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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