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Customer Segment Observations — Adjacent Row Changes + Two-Measure Correlation
x402
Customer Segment Observations — Adjacent Row Changes + Two-Measure Correlation 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).
Analyzes customer segment observation rows to produce two local analytical reports: adjacent row change detection and two-measure correlation between account_count and revenue_amount.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation 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 generated locally from the supplied rows: (1) an adjacent row changes report showing differences between consecutive rows for the specified measure, and (2) a two-measure correlation report quantifying the statistical relationship between account_count and revenue_amount across up to 200 supplied rows.
Example use cases
Monthly segment revenue shift tracking
“I have customer segment observations for October with company groups A and B, each row has a date, account_count, and revenue_amount — can you run the adjacent row changes and two-measure correlation reports on this data so I can see how things are shifting month over month?”
Correlation between accounts and revenue
“I want to know if account_count and revenue_amount are correlated across my customer segments — here are 80 rows of segment observations with date, row_id, company_group, account_count, and revenue_amount. Can you run the two-measure correlation and adjacent row changes analysis on them?”
Detecting anomalous changes in segment metrics
“Can you analyze these 120 customer segment rows for adjacent row changes in account_count — I suspect there are some unusual jumps between consecutive dates — and also give me the correlation between account_count and revenue_amount for those same records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-158?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 customer segment observation records with account_count and revenue_amount fields and want both sequential row-change analysis and cross-measure correlation in a single low-cost call ($0.01 USDC). Prefer it over general statistics services when your data is already structured with row_id, date, and company_group fields and you need two bundled reports with no external data lookups or predictions.
Side effects
- Input rows exceed 200 item limit — request will be rejected
- Missing required fields (row_id, date, company_group, account_count, or revenue_amount) cause validation errors
- Date values not matching YYYY-MM-DD pattern will fail schema validation
- Null values in both measure fields may degrade correlation computation
- Payment of 0.01 USDC not completed causes x402 payment-required error
- Fewer than 2 rows provided may produce degenerate or empty change reports
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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