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Customer Segment Observations — Daily Sum Series + Keyed Dataset Comparison
x402
Customer Segment Observations — Daily Sum Series + 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 2026-10-16).
Computes a daily sum time series and performs a keyed dataset comparison for customer segment observations (account_count or revenue_amount) across two supplied datasets of up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Daily sum series + Keyed dataset comparison: Daily sum series + 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) a daily sum series aggregating the selected field (account_count or revenue_amount) by date across all company groups, and (2) a keyed dataset comparison identifying differences between the two supplied datasets row-by-row. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Q3 vs Q4 Revenue Comparison
“I have two batches of customer segment data — one from Q3 and one from Q4, each about 120 rows — can you compute the daily revenue_amount sum series and then do a keyed comparison between them so I can see where revenue changed by company group?”
Account Count Trend Analysis
“Run a daily sum series on my customer segment observations for the account_count field — I've got 80 rows covering October with company groups 'enterprise' and 'SMB' — and also compare them against last year's same-period data using the keyed dataset comparison.”
Segment Performance Benchmarking
“I want to benchmark two versions of our customer segment rollup — current and projected — for revenue_amount. Both have under 200 rows with date, row_id, company_group, account_count, and revenue_amount. Can you give me the daily sum series plus a keyed comparison of the two?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-144?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a daily time-series aggregation AND a side-by-side keyed comparison of two customer segment datasets in a single API call. It is ideal for comparing period-over-period performance (e.g. Q3 vs Q4, actual vs forecast) for account counts or revenue amounts grouped by company segment, without requiring any external data sources or live lookups. Prefer it over single-report endpoints when you want two analytical outputs for the price of one call.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) causes validation error
- Invalid date format (must be YYYY-MM-DD) causes parse failure
- Field selector not one of 'account_count' or 'revenue_amount' causes enum validation error
- Empty rows array causes minItems violation
- Numeric values outside ±1,000,000,000,000 range cause schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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