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Customer Segment Observations — Date×Category Pivot + Keyed Dataset Comparison
x402
Customer Segment Observations — Date×Category Pivot + 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 data: a date-by-category pivot table and a keyed dataset comparison, for up to 200 rows of account_count or revenue_amount observations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Date by category pivot + Keyed dataset comparison: Date by category pivot + 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 date-by-category pivot table showing the selected metric (account_count or revenue_amount) broken down by date and company_group across the primary dataset, and (2) a keyed dataset comparison report highlighting differences between the primary and secondary datasets matched by row_id. Both reports are computed locally with no external lookups.
Example use cases
Monthly revenue pivot by company group
“I have 150 rows of customer segment data with dates, company groups, and revenue amounts. Can you pivot them by date and company group on revenue_amount, and also run a keyed comparison against last month's data to see what changed?”
Account count trend comparison across periods
“I've got two snapshots of account_count data across company groups and dates — one from Q1 and one from Q2. Can you pivot the Q2 data by date and category, and compare both datasets by key to highlight the differences?”
Segment anomaly detection between datasets
“We have two versions of our customer segment observations — baseline and current — each up to 100 rows with company_group, date, account_count, and revenue_amount. Run the date-by-category pivot on the current data for account_count, and do a keyed comparison between the two so I can spot any anomalies.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-188?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a date×category pivot table AND a keyed dataset comparison in a single paid call for customer segment data (account_count or revenue_amount). It is cost-effective at $0.01 for two reports on up to 200 rows. Prefer it over single-report endpoints when you need both analytical views simultaneously without making two separate API calls.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) on any row causes validation error
- Malformed date string not matching YYYY-MM-DD pattern causes schema rejection
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array (minItems:1 not satisfied) causes error
- Payment not included or insufficient (requires 0.01 USDC via x402) results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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