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Customer Segment Observations — Exact Row Deduplication + Secondary-Measure Weighted Mean
x402
Customer Segment Observations — Exact Row Deduplication + Secondary-Measure Weighted Mean 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).
Deduplicates customer segment observation rows exactly and computes a secondary-measure (revenue_amount) weighted mean across 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 + Secondary-measure weighted mean: Exact row deduplication + Secondary-measure weighted mean 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: one showing the results of exact row deduplication (identifying and removing fully duplicate records) and one providing the secondary-measure weighted mean calculation across the specified field (account_count or revenue_amount), processed locally without external lookups or predictions.
Example use cases
Deduplicating quarterly segment revenue data
“I have 120 rows of customer segment data by company group and date — some rows are duplicates. Can you run exact deduplication and give me the weighted mean of revenue_amount using account_count as the measure field?”
Cleaning account count observations before reporting
“Before I finalize my segment report, I need to deduplicate these 80 observation records and get a weighted mean for account_count weighted by revenue_amount — the data has row_id, company_group, date, account_count, and revenue_amount columns.”
Auditing segment data quality across company groups
“Can you take these 200 customer segment rows — with fields for row_id, company_group, date, account_count, and revenue_amount — deduplicate them exactly and compute the revenue_amount weighted mean so I can audit data quality across our company groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-051?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically clean customer segment observation data by removing exact duplicate rows AND compute a weighted mean statistic in a single paid call. It is ideal for pre-reporting data quality checks on segment-level data (account_count, revenue_amount) organized by company_group and date. Prefer this over general-purpose data tools when working within the x402 micropayment ecosystem and needing two bundled analytical outputs (deduplication + weighted mean) at low cost for datasets up to 200 rows.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, company_group, date, account_count, or revenue_amount) cause validation errors
- Invalid date format (not YYYY-MM-DD pattern) causes schema rejection
- Invalid field enum value (not account_count or revenue_amount) causes error
- Empty rows array (minItems: 1 not met) rejected
- Numeric values outside ±1,000,000,000,000 range cause validation failure
- Payment of 0.01 USDC not provided or fails — endpoint returns 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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