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Customer Segment Observations — String Normalisation + Daily Sum Series
x402
Customer Segment Observations — String Normalisation + Daily Sum Series 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).
Performs string normalisation and computes daily sum series for customer segment observation data (account_count or revenue_amount) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — String normalisation + Daily sum series: String normalisation + Daily sum series 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 delivered from local analytical engines: (1) a string normalisation report for the company_group field across the supplied rows, and (2) a daily sum series report aggregating either account_count or revenue_amount by date. Covers up to 200 input rows per call.
Example use cases
Daily revenue rollup by segment
“I have 150 rows of customer segment observations with company groups and dates — can you normalize the group name strings and compute the daily sum series for revenue_amount so I can see total daily revenue per segment?”
Account count aggregation audit
“Run string normalisation and a daily sum series on these customer segment records for the account_count field — I want to make sure group labels are consistent and see how account counts total up each day across my 80 rows.”
Multi-segment time series prep
“Take my customer segment observation data (up to 200 rows with row_id, company_group, date, and revenue_amount) and give me the two reports: string normalisation of the group names and the daily sum series for revenue_amount so I can feed clean aggregates into my dashboard.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-027?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation of categorical segment identifiers and a daily sum aggregation on a numeric metric (account_count or revenue_amount) in a single API call at low cost ($0.01 USDC for both reports). Ideal for lightweight, offline analytical pre-processing of customer segment observation data without requiring a live database, prediction engine, or external data lookup. Best suited for batch sizes up to 200 rows where two bundled local reports add efficiency over separate calls.
Side effects
- More than 200 rows supplied — request rejected due to maxItems constraint
- Missing required fields (row_id, company_group, date, account_count, or revenue_amount) — validation error
- Invalid date format (not YYYY-MM-DD pattern) — schema validation failure
- Field selector not one of 'account_count' or 'revenue_amount' — enum validation error
- Empty rows array — minItems:1 constraint violation
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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