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Customer Segment Observations — Exact Row Deduplication + Date by Category Pivot
x402
Customer Segment Observations — Exact Row Deduplication + Date by Category Pivot 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 exact rows and produces a date-by-category pivot table from customer segment observation data (account_count, revenue_amount) — two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot 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) an exact row deduplication report identifying and removing duplicate records from the supplied customer segment observations, and (2) a date-by-category pivot table breaking down the selected metric (account_count or revenue_amount) across dates and company_group categories. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Clean duplicate segment records before reporting
“I have a batch of customer segment records with columns row_id, company_group, date, account_count, and revenue_amount — some rows got duplicated in the export. Can you deduplicate the exact duplicates and also give me a pivot of account_count by date and company group?”
Revenue pivot table by customer group
“Here are 120 customer segment observation rows with date, company_group, and revenue_amount values. Please remove any exact duplicate rows and produce a pivot table showing revenue_amount by date across each company group.”
QA segment data for two metrics
“I need two quick reports on this customer segment dataset — first, deduplicate any identical rows, and second, pivot account_count across dates and company groups. There are about 80 rows covering groups like 'enterprise' and 'smb' from Q3 2025.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-052?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 customer segment observation rows with company_group, date, account_count, and revenue_amount fields and need both exact-duplicate removal and a date-by-category pivot in a single low-cost call ($0.01 USDC for both reports). Ideal when the data is already in hand and no external data lookup, prediction, or enrichment is needed — purely local analytical computation on supplied rows.
Side effects
- Exceeds 200-row limit — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) — validation error on date field
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) — schema validation failure
- Invalid field enum value (not account_count or revenue_amount) — rejected
- Empty rows array — minItems:1 constraint violation
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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