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Customer Segment Observations — String Normalisation + Base-100 Series
x402
Customer Segment Observations — String Normalisation + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Applies string normalisation and base-100 indexing to customer segment time-series data (account_count or revenue_amount) across company groups, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — String normalisation + Base-100 series: String normalisation + Base-100 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: (1) a string-normalised version of the selected numeric field (account_count or revenue_amount) across the supplied rows, and (2) a base-100 indexed time series anchored at the specified base_index row — both computed locally without external lookups or predictions, covering up to 200 input rows.
Example use cases
Revenue trend indexing by company group
“I have monthly revenue figures for three customer segments (group-a, group-b, group-c) from 2024-01-01 to 2024-12-01 — can you index the revenue_amount to base-100 starting from January and also normalise the string formatting across the records?”
Account count benchmarking across segments
“Here are my weekly account_count observations for two customer groups over the last quarter. Please run string normalisation and generate a base-100 series from the first row so I can compare growth rates between segments.”
Dual report generation for segment analysis
“I need both a string-normalised view and a base-100 indexed series for my customer segment data — 50 rows of account_count split across group-x and group-y with dates in 2025. Set the base index to row 0 and use account_count as the field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to both normalise string representations of numeric customer segment metrics and produce a base-100 index series in a single call at minimal cost ($0.01 USDC for two reports). It is best suited for offline/batch analytical workflows on supplied data up to 200 rows where no live data lookup, forecasting, or external enrichment is required. Prefer alternatives if you need IQR outlier detection, correlation analysis, pivot tables, or trailing means — those are separate sibling endpoints on the same platform.
Side effects
- Rows array empty or missing: validation error returned
- More than 200 rows submitted: rejected with max-items error
- Invalid date format (not YYYY-MM-DD): schema validation failure
- base_index out of range (>= number of rows): error or undefined base period
- field value not in enum ['account_count','revenue_amount']: rejected
- All values null for selected field: may produce degenerate or empty series
- Payment not included or insufficient: 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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