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Customer Segment Observations — Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Customer Segment Observations — Numeric Row Ordering + Secondary-Measure Weighted Mean 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).
Computes numeric row ordering and secondary-measure weighted mean for customer segment observation records (account_count, revenue_amount) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean 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 for the submitted rows: (1) numeric row ordering — rows ranked/ordered by their numeric position, and (2) secondary-measure weighted mean — the weighted average of the selected field (account_count or revenue_amount) weighted by the other measure, computed using local analytical engines against the supplied data only.
Example use cases
Monthly revenue ranking by segment
“I have monthly customer segment data for two company groups across 12 months — can you rank the rows by account_count and compute the revenue_amount weighted mean for me? Here are the rows with row_id, company_group, date, account_count, and revenue_amount values.”
Weighted average revenue for SaaS cohorts
“For my SaaS cohort analysis, I've got 50 rows of customer segment observations with account counts and revenue amounts per group per day — rank them numerically and give me the weighted mean of revenue_amount using account_count as the weight.”
Quarter-end segment performance summary
“Can you take these 80 customer segment observation records for Q4 — each with a company_group, date, account_count, and revenue_amount — and run both the numeric row ordering and the secondary-measure weighted mean on the revenue_amount field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both numeric row ordering and a secondary-measure weighted mean computed together on customer segment observations (up to 200 rows) in a single low-cost call. Ideal when working with company-group segmented time-series data involving account counts and revenue amounts, and you want offline/local analytical computation without any external data lookup or prediction.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in both measures for a row may affect weighted mean computation
- Field enum value not matching 'account_count' or 'revenue_amount' — invalid field error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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