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Customer Segment Observations — String Normalisation + Duplicate Key Report
x402
Customer Segment Observations — String Normalisation + Duplicate Key Report 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).
Runs string normalisation and duplicate key detection reports on supplied customer segment observation records (account_count, revenue_amount) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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
Two independent analytical reports: (1) a string normalisation report highlighting inconsistent or non-standard string values in fields like company_group and date, and (2) a duplicate key report identifying rows with repeated row_id or key-field combinations across the submitted customer segment observation records.
Example use cases
Pre-merge segment data validation
“Before I merge these customer segment files, can you check for duplicate row IDs and normalise the company_group strings? I have about 150 rows with account_count and revenue_amount fields — here's the data.”
Weekly segment report data cleaning
“I just pulled this week's customer segment observations — can you run a string normalisation pass and flag any duplicate keys across the company_group and date columns? There are around 80 rows with account counts and revenue figures.”
Audit imported CRM segment records
“We imported customer segment records from our CRM and I'm worried about inconsistent casing in company_group names and duplicate row IDs. Can you run both the string normalisation and duplicate key reports on these 200 rows of account and revenue data?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-021?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and duplicate key detection together on customer segment observation data (account_count, revenue_amount) in a single low-cost call. It is ideal for pre-processing or auditing segment datasets up to 200 rows before further analysis, storage, or reporting. Prefer this over general-purpose deduplication tools when your data specifically follows the customer segment schema with company_group and date dimensions.
Side effects
- More than 200 rows submitted — request exceeds maximum row limit
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) in one or more rows
- Invalid date format (must match YYYY-MM-DD pattern)
- row_id exceeds 80 character maxLength
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Empty rows array submitted (minItems: 1 not satisfied)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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