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Customer Segment Observations — Numeric Interval Filter + Explicit Missing-Value Fill
x402
Customer Segment Observations — Numeric Interval Filter + 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 2026-10-25).
Filters customer segment observation rows to a numeric interval and fills missing values in account_count or revenue_amount, returning up to 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + 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 2 analytical reports covering the submitted customer segment observation rows (up to 200), with account_count or revenue_amount values filtered to the specified numeric interval and null values replaced using the chosen method (zero, mean, or median). Reports are computed locally without external lookups or predictions.
Example use cases
Clean segment data before revenue dashboard
“I've got 80 rows of customer segment observations and revenue_amount has some nulls — filter revenue_amount between 0 and 1000000 and fill the missing ones with the mean, then run the 2 reports for me.”
Clamp outlier account counts for cohort analysis
“My segment dataset has 120 rows and some account_count values look like outliers or are null — filter to values between 5 and 50000 and replace any missing account_counts with zero so I can get clean analytical output.”
Validate company group metrics before reporting
“I need to prep 60 rows of company group observations for a monthly report — filter revenue_amount to between 100 and 9999999 and use median fill for any missing revenue_amount values, then generate the 2 reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-135?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local analytical processing of customer segment tabular data (account_count, revenue_amount) with combined interval filtering and missing-value imputation in a single call. It is ideal for small-to-medium datasets (up to 200 rows) where you want 2 bundled reports at minimal cost ($0.01 USDC) without relying on live data lookups or external ML predictions.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- Minimum value greater than maximum value leads to empty filtered result set
- Unsupported fill method enum value returns validation error
- Missing required fields (row_id, company_group, date) cause row-level rejection
- Numeric values outside ±1,000,000,000,000 range rejected by schema
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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