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Customer Segment Observations — Exact Row Deduplication + Equal-Width Histogram
x402
Customer Segment Observations — Exact Row Deduplication + Equal-Width Histogram 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).
Deduplicates customer segment observation rows and computes an equal-width histogram over account_count or revenue_amount fields, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Exact row deduplication + Equal-width histogram: Exact row deduplication + Equal-width histogram 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 reports: (1) the deduplicated set of customer segment rows with exact duplicate rows removed, and (2) an equal-width histogram for the chosen field (account_count or revenue_amount) showing bin boundaries and row counts per bin, computed across the deduplicated data.
Example use cases
Revenue distribution across company groups
“I have 150 rows of customer segment data with company_group, date, and revenue_amount — can you deduplicate them and show me a histogram of revenue_amount split into 8 equal-width bins?”
Account count frequency analysis
“Here are our segment observations for Q4 with account_count values — please remove any duplicate rows and give me a 5-bin equal-width histogram so I can see how accounts are distributed.”
Data quality check before reporting
“Before I finalize our segment report, can you deduplicate these 200 customer segment records and produce a histogram of account_count with 10 bins to check for any outlier buckets?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-048?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw customer segment tabular data (account_count, revenue_amount) that may contain duplicates and you need both a clean dataset and a frequency distribution report in a single call. It is ideal for pre-reporting data quality passes, exploratory distribution analysis, or segment-level summaries where you want binned histograms without writing custom analytics code. Best suited for datasets up to 200 rows; not appropriate for live data lookups, predictions, or large-scale ETL.
Side effects
- Exceeds 200-row limit — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- bin count outside 1–30 range — validation error
- Missing required fields (row_id, company_group, date) — schema error
- All rows are duplicates — histogram computed on empty or minimal set
- Null values in the histogram field — nulls excluded from binning
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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