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Customer Segment Observations — Adjacent Row Changes + Explicit Missing-Value Fill
x402
Customer Segment Observations — Adjacent Row Changes + Explicit Missing-Value Fill 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).
Analyzes customer segment observation rows (account_count, revenue_amount) by computing adjacent row changes and filling missing values using zero, mean, or median methods, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill 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) an adjacent row changes report showing the delta between consecutive rows for the selected field (account_count or revenue_amount), and (2) a missing-value filled version of the series using the chosen method (zero, mean, or median). Both reports cover all submitted rows up to 200 records.
Example use cases
Segment revenue gap imputation
“I've got monthly revenue_amount readings for several company groups but there are nulls scattered throughout — can you fill the missing revenue values using the mean and also show me how the numbers changed row by row? Here are my 80 rows of segment data.”
Account count delta analysis
“Can you run adjacent row change analysis on my account_count data across these 120 customer segment observations grouped by company? I also need any missing account_count values filled using zero so the series is complete.”
Multi-group sequential change report
“I need two reports on this customer segment dataset: one showing the row-over-row differences in revenue_amount for each company group, and one where missing revenue values are filled using median. It's 150 rows covering groups like 'enterprise' and 'smb' from 2025.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-162?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular customer segment data with sequential rows and need (a) row-over-row delta computation and (b) missing value imputation in a single $0.01 call. It is ideal for offline/batch analytical preparation of segment metrics (account_count or revenue_amount) without requiring any live data lookup, prediction, or external service. Prefer this over general-purpose analytics tools when working within an x402 micropayment workflow and needing both transformations bundled.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, company_group, date) — validation failure
- Field value out of range (exceeds ±1,000,000,000,000) — rejected
- Invalid method enum value — must be zero, mean, or median
- Invalid field enum — must be account_count or revenue_amount
- Empty rows array — minItems 1 not met
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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