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Customer Segment Observations — Exact Row Deduplication + Adjacent Row Changes
x402
Customer Segment Observations — Exact Row Deduplication + Adjacent Row Changes 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).
Analyzes customer segment observation records to identify exact duplicate rows and detect adjacent row changes across account_count or revenue_amount fields, returning two reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Exact row deduplication + Adjacent row changes: Exact row deduplication + Adjacent row changes 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 independent analytical reports: (1) an exact row deduplication report identifying which rows are perfect duplicates of each other, and (2) an adjacent row changes report showing where the selected field (account_count or revenue_amount) changes value between consecutive rows in the supplied dataset.
Example use cases
Cleaning duplicate segment records
“I've got a dataset of about 80 customer segment observation rows with company_group, date, account_count, and revenue_amount — can you find all the exact duplicate rows and also flag wherever the account_count changes between adjacent entries?”
Revenue change detection across groups
“Check my segment observations for exact duplicate rows and show me where revenue_amount shifts between consecutive rows — I have entries for several company groups dated across Q3 2025, about 120 rows total.”
Data quality audit before reporting
“Before I send this segment data to the board, can you run it through deduplication and adjacent row change analysis on the revenue_amount field? It's about 60 rows covering multiple company groups across dates in 2026 and I need to catch any repeated or inconsistent entries.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-046?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact row deduplication and adjacent row change detection in a single low-cost call ($0.01 USDC) on customer segment observation data with account_count and revenue_amount fields. It is ideal for data quality checks before reporting, detecting stale or repeated entries, and identifying value transitions between consecutive segment records — all without any external lookup or live data dependency. Best suited for datasets of up to 200 rows where local analytical processing is sufficient.
Side effects
- Input exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) cause validation errors
- Invalid date format (must be YYYY-MM-DD) causes schema rejection
- Numeric values outside the allowed range (±1 trillion) cause validation failure
- Empty rows array returns an error due to minItems:1 constraint
- No exact duplicates or adjacent changes found — reports return empty result sets
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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