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Customer Segment Observations — Duplicate Key Report + Keyed Dataset Comparison
x402
Customer Segment Observations — Duplicate Key Report + 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).
Runs two analytical reports on customer segment observation records: identifies duplicate row keys and compares two keyed datasets side-by-side, covering account_count and revenue_amount fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Duplicate key report + Keyed dataset comparison: Duplicate key report + 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 independent reports: (1) a duplicate key report identifying any row_ids that appear more than once in the primary dataset, and (2) a keyed dataset comparison showing row-by-row differences in account_count and revenue_amount between the primary and secondary datasets, covering up to 200 rows total.
Example use cases
Monthly segment data reconciliation
“I have two exports of our customer segment observations from this month and last month — both have row_id, company_group, date, account_count, and revenue_amount. Can you find any duplicate row IDs in the primary dataset and show me exactly which rows differ between the two?”
Data pipeline duplicate detection
“Our ETL pipeline may have created duplicate keys in the customer segment table. Can you scan these up to 200 rows of segment data (with account_count and revenue_amount fields) for any repeated row_ids, and also compare it against our reference snapshot to flag any mismatches?”
Segment revenue variance audit
“I need to audit two versions of our customer segment observations — the original and a revised one — both with company_group, date, account_count, and revenue_amount. Please find any duplicate keys in the primary set and highlight every row where revenue_amount or account_count diverges between the two datasets.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-069?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously check for duplicate row keys AND compare two versions of customer segment observation data (with account_count and revenue_amount fields) in a single paid call. It is ideal for data quality audits, ETL validation, snapshot diffing, and reconciliation tasks on segment data up to 200 rows, where no external lookup or live data enrichment is needed.
Side effects
- Input array 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 (not YYYY-MM-DD) triggers schema validation failure
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array returns error
- Payment of 0.01 USDC not included or fails — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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