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Customer Segment Observations — String Normalisation + Numeric Interval Filter
x402
Customer Segment Observations — String Normalisation + 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).
Applies string normalisation and numeric interval filtering to customer segment observation records (account_count, revenue_amount), producing 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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
Two analytical reports based on the supplied customer segment rows: one covering string normalisation of the company_group field and one applying a numeric interval filter to the chosen field (account_count or revenue_amount), returning only rows within the specified minimum/maximum range. All processing uses local analytical engines with no external lookups.
Example use cases
Filter segments by account count range
“Take these 10 customer segment rows and give me a report showing only the ones where account_count falls between 100 and 500, with the company group strings normalised — the field I want filtered is account_count, minimum 100, maximum 500.”
Revenue range audit across company groups
“I have 50 customer segment observation records across several company groups and I need two reports: one with string-normalised company labels and one filtering revenue_amount to only rows between 1000 and 50000 — can you run both at once?”
Data quality check before segment reporting
“Before I send this customer segment data to my finance team, can you normalise the company_group strings and filter out any rows where account_count is outside the range of 0 to 200? I have about 80 rows to process.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-026?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 customer segment observation rows and need both string normalisation on company group labels and a numeric range filter on either account_count or revenue_amount in a single call. It is ideal for lightweight, self-contained data cleaning and filtering tasks that do not require external lookups, predictions, or live data enrichment.
Side effects
- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) on any row — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejection
- Invalid field enum value (must be 'account_count' or 'revenue_amount') — error
- Payment of 0.01 USDC not provided or declined — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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