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Customer Segment Observations — Adjacent Row Changes + Secondary-Measure Weighted Mean
x402
Customer Segment Observations — Adjacent Row Changes + 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 2026-10-16).
Computes adjacent row changes and secondary-measure weighted mean for up to 200 customer segment observation records containing account count and revenue amount fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + 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
Two analytical reports: (1) adjacent row changes showing the difference between consecutive rows for the selected measure, and (2) a secondary-measure weighted mean calculated across the supplied customer segment rows. Results are computed locally from the supplied data with no external lookups.
Example use cases
Revenue trend analysis by segment
“I have monthly customer segment observations for two groups over the past six months — can you calculate the adjacent row changes and the revenue-weighted mean across those records? I'll send you the rows with row IDs, company group names, dates, account counts, and revenue amounts, using revenue_amount as the field.”
Account count shift detection across groups
“Can you analyze my customer segment data to find how account counts change between consecutive rows and compute a weighted mean using account_count as the secondary measure? I have about 50 rows spanning group-a and group-b across Q3.”
Dual-report analytics for segment KPIs
“I need two analytical reports on my customer segment observations — adjacent row changes and a secondary-measure weighted mean — for 120 rows of data with account_count and revenue_amount fields. Please use revenue_amount as the field and group the data by company group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-159?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both adjacent row change analysis and a secondary-measure weighted mean computed together on customer segment data with account_count and revenue_amount fields, especially when batching up to 200 rows in a single low-cost call. Prefer it over general-purpose analytics tools when working specifically with company group segment observations and wanting two bundled statistical reports for $0.01 USDC.
Side effects
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, company_group, date, account_count, or revenue_amount) in any row
- Invalid date format (must be YYYY-MM-DD pattern)
- Numeric values outside the allowed range of -1,000,000,000,000 to 1,000,000,000,000
- Invalid field enum value (must be account_count or revenue_amount)
- Empty rows array submitted
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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