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Customer Segment Observations — Equal-Width Histogram + Explicit Missing-Value Fill
x402
Customer Segment Observations — Equal-Width Histogram + 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).
Generates an equal-width histogram and fills missing values for up to 200 customer segment observation rows across account_count or revenue_amount fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + 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) an equal-width histogram showing bin boundaries and frequencies for the selected field (account_count or revenue_amount), and (2) the dataset with explicitly filled missing values using the chosen strategy (zero, mean, or median). Up to 200 rows processed per call.
Example use cases
Revenue distribution by customer segment
“I have 150 rows of customer segment observations with revenue_amount and account_count. Fill any missing revenue_amount values with the mean, then build an equal-width histogram with 10 bins so I can see how revenue is distributed.”
Missing data cleanup before reporting
“My customer segment export has some null account_count entries. Can you fill those with zero and then generate a histogram with 8 bins so I can see the frequency distribution before I present this to the team?”
Quarterly segment analysis histogram
“Here are 200 customer segment records from Q3 — each has a company_group, date, account_count, and revenue_amount. Fill missing revenue_amount with the median and give me an equal-width histogram with 5 bins.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-175?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have up to 200 customer segment observation rows and need both missing-value imputation and a histogram distribution report in a single call. It is purpose-built for account_count and revenue_amount fields with company_group and date context, making it ideal for segmented customer analytics pipelines. Prefer this over generic statistics tools when you need the combined histogram + fill workflow in one $0.01 USDC call without external data lookups.
Side effects
- rows array empty or exceeds 200 items — validation error
- required fields (row_id, company_group, date, account_count, revenue_amount) missing from row objects — schema validation failure
- date field does not match YYYY-MM-DD pattern — rejected
- bins value outside 1–30 range — rejected
- numeric values outside ±1,000,000,000,000 — rejected
- invalid field or method enum values — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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