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Customer Segment Observations — Daily Sum Series + Explicit Missing-Value Fill
x402
Customer Segment Observations — Daily Sum Series + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Computes daily sum time series and fills missing values (zero, mean, or median) for customer segment observation data (account_count, revenue_amount) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill 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 daily sum time series for the specified field (account_count or revenue_amount) aggregated across the supplied rows, and (2) the same series with explicit missing-value imputation applied using the chosen method (zero, mean, or median). Results cover up to 200 input rows processed locally without external lookups.
Example use cases
Daily revenue roll-up with gap filling
“I have 150 rows of customer segment observations with dates, company groups, and revenue_amount values — some are null. Can you compute the daily sum series for revenue_amount and fill in the missing entries using the mean?”
Account count aggregation by segment
“Here are my customer segment rows with account_count and company_group fields. Please aggregate them into a daily sum series for account_count and use zero to fill any missing values.”
Multi-group segment reporting with null imputation
“I need a daily sum report for account_count across my company groups — the dataset has about 80 rows with some nulls. Run both the daily sum series and fill missing values using median so I get clean output for both reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-145?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw customer segment observation records (with account_count or revenue_amount) that need daily sum aggregation combined with explicit missing-value imputation in a single low-cost call. Ideal for offline/batch analytical prep of segment data up to 200 rows where no live data lookup, prediction, or external service is needed. The $0.01 flat rate covers two reports simultaneously, making it cost-efficient for dual-output needs.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required row fields (row_id, date, company_group) — validation error
- Invalid date format (must match YYYY-MM-DD) — pattern validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Empty rows array — minItems violation
- Invalid method enum value — rejected with schema error
- Invalid field enum value — rejected with schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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