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Customer Segment Observations — String Normalisation + Two-Measure Correlation
x402
Customer Segment Observations — String Normalisation + 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 2026-10-25).
Performs string normalisation and two-measure correlation analysis (account_count vs revenue_amount) on up to 200 customer segment observation rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — String normalisation + Two-measure correlation: String normalisation + 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
Returns two independent analytical reports: one covering string normalisation of the company_group field across the supplied rows, and one covering the statistical correlation between account_count and revenue_amount across up to 200 customer segment observation records. No external lookups or predictions are made; all analysis uses local analytical engines on the supplied data.
Example use cases
Segment revenue-account correlation check
“I have a CSV of customer segment observations with company group names, dates, account counts, and revenue amounts — about 80 rows. Can you normalize the group name strings and run a correlation analysis between account count and revenue amount, and give me two reports?”
Monthly KPI relationship analysis
“Take these 120 monthly customer segment records — each has a row ID, company group, date, account count, and revenue amount — and run string normalisation plus a two-measure correlation between account count and revenue amount. I want two independent analytical reports back.”
Segment data quality and metric correlation
“I've got messy company group names across 30 customer segment rows, each with account counts and revenue amounts. Can you normalize the strings and compute a correlation between those two measures, returning two separate local analytical reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular customer segment data with company group labels and two numeric KPIs (account_count and revenue_amount) and need both string normalisation of the group names and a statistical correlation between the two measures in a single call. It is ideal for small-to-medium datasets (up to 200 rows) where you want two bundled local analytical reports without any external data lookups or predictions, and at a low fixed cost of $0.01 USDC per call.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, company_group, date, account_count, or revenue_amount) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Null values in both numeric fields across all rows — insufficient data for correlation
- Malformed JSON body — request parsing error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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