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Customer Segment Observations — Numeric Interval Filter + Date by Category Pivot
x402
Customer Segment Observations — Numeric Interval Filter + 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 2026-10-25).
Filters customer segment rows by a numeric interval on account_count or revenue_amount, then produces a date-by-category pivot table — two analytical reports in one call for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Numeric interval filter + Date by category pivot: Numeric interval filter + 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
Returns two analytical reports: (1) rows from the input dataset whose selected numeric field (account_count or revenue_amount) falls within the specified minimum–maximum interval, and (2) a pivot table crossing date against company_group category for the supplied measures — all computed locally without external lookups, covering up to 200 input rows.
Example use cases
Revenue range filter for quarterly segments
“Here are 120 rows of our Q3 customer segment observations with company_group, date, account_count, and revenue_amount — filter to only rows where revenue_amount is between 5000 and 250000, and give me a date-by-category pivot on revenue_amount.”
Account count banding for enterprise segments
“I have a list of 80 customer segment records across group-a, group-b, and group-c — can you filter out any rows where account_count falls outside the range 20 to 300, and then pivot the results by date and company group?”
Dual-report analytics on small segment dataset
“Run both the numeric interval filter and the date-by-category pivot on these 40 customer segment rows — keep account_count between 0 and 50, the field to filter on is account_count, and show me both reports in one shot.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-133?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 customer segment rows with account_count and revenue_amount metrics and need both a numeric range filter and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for lightweight, self-contained analytics on supplied data without requiring external database access, live lookups, or a full BI platform. Prefer alternatives if you need more than 200 rows, real-time data enrichment, or statistical modeling beyond interval filtering and pivoting.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required row fields (row_id, date, company_group, account_count, revenue_amount) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Minimum value greater than maximum value — may produce empty filtered result set
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Empty rows array — rejected due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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