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Customer Segment Observations — Exact Row Deduplication + Daily Sum Series
x402
Customer Segment Observations — Exact Row Deduplication + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-20).
Deduplicates customer segment observation rows and computes a daily sum time series for account_count or revenue_amount fields, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Exact row deduplication + Daily sum series: Exact row deduplication + Daily sum 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 daily sum time series for the selected numeric field (account_count or revenue_amount) aggregated by date. Both reports are computed locally against the supplied data with no external lookups.
Example use cases
Deduplicate segment data before reporting
“I've got a batch of customer segment records with possible duplicate rows — can you deduplicate them exactly and also give me the daily sum series for revenue_amount? Here's the data with row_id, company_group, date, account_count, and revenue_amount fields, up to 150 rows.”
Daily revenue rollup by segment
“Can you take my customer segment observations for groups like 'enterprise' and 'smb' and compute the daily total revenue_amount series, plus flag and remove any exact duplicate rows in the dataset? I have about 80 rows with dates, account counts, and revenue amounts.”
Audit account count trends after dedup
“I need to clean up my segment observation data by removing exact duplicate rows and then see the daily sum of account_count over time — the dataset has company_group, date, account_count, and revenue_amount columns, around 120 rows total.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-044?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 customer segment observation records and need both exact duplicate removal and a daily aggregated sum series in a single cost-effective call ($0.01 USDC for both reports). Ideal for lightweight, self-contained data quality and time-series analytics on segment data without needing a full analytics platform or live data connections.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, account_count, or revenue_amount) cause validation errors
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array returns an error
- Invalid field enum value (not account_count or revenue_amount) causes schema rejection
- Payment of 0.01 USDC not completed causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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