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Customer Segment Observations — Secondary-Measure Weighted Mean + Keyed Dataset Comparison
x402
Customer Segment Observations — Secondary-Measure Weighted Mean + Keyed Dataset Comparison 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).
Computes a secondary-measure weighted mean and performs a keyed dataset comparison on up to 200 customer segment observation rows (account_count, revenue_amount), returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Secondary-measure weighted mean + Keyed dataset comparison: Secondary-measure weighted mean + Keyed dataset comparison 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: (1) the secondary-measure weighted mean computed across the supplied rows for the chosen field (account_count or revenue_amount), and (2) a keyed dataset comparison between the primary rows and the comparison dataset, highlighting differences by key (row_id, company_group, date). All computation is local with no external lookups.
Example use cases
Period-over-period segment revenue comparison
“I have customer segment data for Q1 and Q2 — each row has a company group, date, account_count, and revenue_amount — and I want to see the weighted mean of revenue_amount for Q1 and a side-by-side keyed comparison showing what changed between Q1 and Q2. Can you run that analysis?”
Account count weighted mean across company groups
“Can you compute the weighted mean of account_count across my customer segments using revenue_amount as the weight? I'll supply up to 150 rows with row_id, company_group, date, account_count, and revenue_amount. Also run a keyed comparison against my baseline dataset.”
Validating updated segment data against original
“I updated our customer segment records and want to verify what changed. Can you take my original rows and the updated rows — both with company_group, date, account_count, and revenue_amount — and give me a keyed dataset comparison plus the weighted mean of revenue_amount for the updated set?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-186?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 customer segment observation rows with account_count and revenue_amount fields and need both a weighted mean computation (using one measure to weight the other) and a keyed comparison between two datasets in a single low-cost call. It is ideal for period-over-period segment analysis, data validation between two snapshots, or computing weighted aggregates across company groups without needing a full data warehouse.
Side effects
- Supplying more than 200 rows results in rejection or truncation
- Rows missing required fields (row_id, company_group, date, account_count, revenue_amount) will cause validation errors
- Null values in the weight or target field may affect weighted mean accuracy or cause errors
- Date strings not matching YYYY-MM-DD pattern will fail schema validation
- Empty rows array (minItems: 1 violated) will return an error
- Mismatched keys between primary and comparison datasets may yield empty or partial comparison results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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