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Customer Segment Observations — Base-100 Series + Two-Measure Correlation
x402
Customer Segment Observations — Base-100 Series + Two-Measure Correlation 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).
Generates a Base-100 indexed time series report and a two-measure correlation analysis for customer segment observations (account_count and revenue_amount) from user-supplied row data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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
Returns two analytical reports: (1) a Base-100 indexed series for the selected field (account_count or revenue_amount), showing each row's value normalized relative to the chosen base index row; and (2) a two-measure correlation report quantifying the relationship between account_count and revenue_amount across the supplied rows. Both reports are computed locally using the provided data (up to 200 rows) with no external lookups.
Example use cases
Rebase segment growth to common index
“I have monthly observations for three company groups — 'west', 'east', and 'central' — each with account counts and revenue figures going back 18 months. Can you rebase the account_count series to Base-100 starting from the first row and also show me how account_count and revenue_amount correlate across all those rows?”
Correlation check between revenue and accounts
“I want to know whether our revenue_amount and account_count are moving together or diverging across our customer segments. Here are 120 rows of weekly data split between 'tier-1' and 'tier-2' groups — can you run the two-measure correlation report on them?”
Benchmark performance across company groups
“We track two company groups, 'legacy' and 'growth', and I need to index both their account_count trends to a base of 100 from the earliest date so I can compare growth rates on the same scale — here's the dataset with about 80 rows, please run the base-100 series report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-165?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have customer segment observation data (with account counts and revenue figures) and need both a normalized Base-100 trend series and a correlation analysis between two measures in a single low-cost call ($0.01 USDC). It is best suited for offline/batch analytical use cases on already-collected tabular data rather than live lookups, predictions, or external data enrichment. Prefer it over general analytics APIs when your dataset fits within 200 rows and you want two bundled reports without per-report pricing.
Side effects
- More than 200 rows supplied — request rejected or truncated
- Missing required row fields (row_id, date, account_count, revenue_amount, company_group) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema error
- base_index out of range for the number of rows provided — index error
- All values null for selected field — correlation or indexing cannot be computed
- Malformed JSON input — parse error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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