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Customer Segment Observations — Duplicate Key Report + Numeric Row Ordering
x402
Customer Segment Observations — Duplicate Key Report + Numeric Row Ordering 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 up to 200 customer segment observation records to produce a duplicate key report and numeric row ordering for account_count or revenue_amount fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Duplicate key report + Numeric row ordering: Duplicate key report + Numeric row ordering 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) a duplicate key report identifying any row_ids that appear more than once in the submitted records, and (2) a numeric row ordering ranking all submitted rows by the selected field (account_count or revenue_amount). Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Duplicate segment key audit
“I have a list of 50 customer segment observation records with row IDs, company groups, dates, account counts, and revenue amounts — can you run a duplicate key report to find any repeated row IDs and rank the rows by revenue_amount?”
Revenue-ranked segment ordering
“Take these 30 customer segment rows and give me a numeric ordering based on their revenue_amount field, plus flag any duplicate keys across the records.”
Account count ranking for QA
“I need to validate my segment dataset — can you check these 80 rows for duplicate row IDs and produce a numeric ranking by account_count so I can spot anomalies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-058?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously detect duplicate keys and produce a numeric row ranking on customer segment observation records (account_count or revenue_amount) in a single low-cost call. Ideal for data quality checks on batches up to 200 rows where no live data lookup, ML prediction, or external enrichment is needed — just fast local analytical computation on supplied data.
Side effects
- Input array exceeds 200 rows — request will be rejected
- 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
- Field selector not one of 'account_count' or 'revenue_amount' causes enum validation failure
- Empty rows array rejected by minItems constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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