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Customer Segment Observations — Record Quality Audit + Exact Row Deduplication + Numeric Interval Filter
x402
Customer Segment Observations — Record Quality Audit + Exact Row Deduplication + Numeric Interval Filter 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 rows: a record quality audit, exact row deduplication, and a numeric interval filter on account_count or revenue_amount fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter 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 independent analytical reports: (1) a record quality audit flagging missing, malformed, or out-of-range values across input rows; (2) an exact row deduplication report identifying and removing fully duplicate records; (3) a numeric interval filter report listing which rows fall within or outside the specified minimum/maximum range for the chosen field (account_count or revenue_amount). All reports are computed locally with no external lookups.
Example use cases
Revenue range filter for segment reporting
“I have about 80 customer segment observation rows with company groups, dates, account counts, and revenue amounts. Can you run a quality audit, remove exact duplicate rows, and then filter down to only the rows where revenue_amount is between 1000 and 50000?”
Deduplication audit before pipeline load
“Before I load my customer segment dataset into our data warehouse, can you check it for record quality issues and exact duplicate rows? I'll give you up to 150 rows with row_id, company_group, date, account_count, and revenue_amount.”
Account count range validation for segment QA
“I need to validate my segment observations dataset — please audit record quality, deduplicate exact rows, and flag which rows have account_count outside the range of 10 to 200. I have around 60 rows across several company groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-214?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled data quality operations — quality audit, deduplication, and numeric range filtering — applied together to a batch of up to 200 customer segment observation rows containing account_count and revenue_amount fields. It is cost-effective at $0.01 for all three reports and requires no external connectivity or prediction. Prefer it over general-purpose data tools when your data specifically follows the customer segment schema (company_group, date, account_count, revenue_amount).
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) cause schema rejection
- Invalid date format (non-YYYY-MM-DD) causes pattern validation failure
- minimum greater than maximum may yield empty filter results
- Numeric values outside ±1,000,000,000,000 are rejected by schema constraints
- Empty rows array (minItems:1 violation) returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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