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Customer Segment Observations — Exact Row Deduplication + Trailing Mean Series
x402
Customer Segment Observations — Exact Row Deduplication + Trailing Mean Series 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).
Deduplicates customer segment observation rows exactly and computes a trailing mean time series for account_count or revenue_amount fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean series 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 reports: (1) an exact row deduplication report identifying and removing fully duplicate records from the supplied customer segment observations, and (2) a trailing mean time series for the selected field (account_count or revenue_amount) computed over the specified window size, both derived locally from the submitted data with no external lookups.
Example use cases
Deduplicate segment revenue time series
“I have a dataset of customer segment observations with duplicate rows that crept in during our ETL pipeline. Can you run exact deduplication on these records and also compute a trailing mean over a window of 4 for revenue_amount? The rows have row_id, company_group, date, account_count, and revenue_amount fields.”
Smooth account count trends by group
“For my two customer groups 'enterprise' and 'SMB', I have daily account_count observations going back 30 days. Can you deduplicate the records and give me a trailing mean series with window size 7 for account_count so I can see the smoothed trend?”
Validate and smooth segment data before reporting
“Before I build my weekly segment report, I need to remove any exact duplicate rows from my customer segment observations and get a rolling 5-day trailing mean for revenue_amount. My data has company_group, date, account_count, and revenue_amount — can you run both reports at once?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-045?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact duplicate row removal and a trailing mean smoothing series computed together in a single call on customer segment observation data (account_count, revenue_amount) with up to 200 rows. It is purpose-built for this specific schema and field combination, delivering two analytical reports for a single low flat fee without requiring external data access or live computation infrastructure.
Side effects
- Input rows exceed 200 item limit — request rejected
- Missing required fields (row_id, company_group, date, account_count, or revenue_amount) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema error
- Window size outside allowed range of 2–200 — validation error
- Field value not one of 'account_count' or 'revenue_amount' — enum validation error
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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