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Customer Segment Observations — Record Quality Audit + String Normalisation + Grouped Numeric Summary
x402
Customer Segment Observations — Record Quality Audit + String Normalisation + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Runs three local analytical reports on customer segment observation data: record quality audit, string normalisation, and grouped numeric summary for account_count or revenue_amount fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary for supplied customer segment observations records (account_count, revenue_amount). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three reports returned in a single response: (1) a record quality audit flagging missing values, type issues, and malformed fields; (2) a string normalisation report on the company_group field; and (3) a grouped numeric summary (totals, averages, counts) for the selected field (account_count or revenue_amount) segmented by company_group.
Example use cases
Revenue rollup by company group
“I have about 80 rows of customer segment observations with company_group and revenue_amount — can you run the quality audit, string normalisation, and grouped numeric summary on them so I can see total revenue per group cleanly?”
Account count data quality check
“Before I load this segment dataset into our dashboard, can you audit the record quality, normalise the company_group labels, and summarise account_count by group? I've got around 150 rows.”
Cleaning inconsistent segment labels
“Our segment data has company_group values entered inconsistently — like 'Group A', 'group a', 'GROUP A' — can you normalise those strings and also audit record quality and give me a grouped account_count summary across these 60 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-194?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined data quality audit, string normalisation, and grouped numeric summary for customer segment observations in a single $0.01 call, with up to 200 rows and no external data dependencies. Prefer it over separate audit or summarisation tools when you want all three reports together without multiple API calls.
Side effects
- Exceeding 200 rows causes rejection
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) causes validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside ±1,000,000,000,000 are rejected
- Payment failure via x402 protocol blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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