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Account Research Coverage — Exact Row Deduplication + Date by Category Pivot
x402
Account Research Coverage — Exact Row Deduplication + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Deduplicates exact rows and pivots account research coverage data (researched_accounts, target_accounts) by date and category, producing two analytical reports from supplied data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot for supplied account research coverage records (researched_accounts, target_accounts). 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 exact-row-deduplicated version of the supplied account research coverage records, and (2) a pivot table of the selected metric (researched_accounts or target_accounts) broken down by date and company_group category. Both reports are computed locally from the submitted data with no external lookups.
Example use cases
Sales team coverage deduplication
“I have a list of up to 150 account research records with row_id, company_group, date, researched_accounts, and target_accounts — can you remove any exact duplicate rows and give me a pivot of researched_accounts broken down by date and company group?”
Target account pipeline pivot analysis
“Run a deduplication and date-by-category pivot on my target_accounts data across these company groups — I want to see both a clean deduplicated dataset and a pivot table showing target_accounts by date and group for about 80 rows.”
Multi-group coverage audit
“I need two reports on my account research coverage data: first deduplicate the exact rows, then pivot the researched_accounts metric by date and company_group. I have around 200 rows with groups like 'group-a' and 'group-b' spanning several dates in 2025.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-052?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact row deduplication and a date-by-category pivot on account research coverage data in a single low-cost call (up to 200 rows, $0.01 USDC). It is ideal for cleaning and summarizing B2B account research datasets with researched_accounts and target_accounts metrics grouped by company_group and date, without requiring any live data lookup or external integration.
Side effects
- Fewer than 1 row submitted — returns validation error
- More than 200 rows submitted — rejected with maxItems violation
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) — schema validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Invalid field enum value (not researched_accounts or target_accounts) — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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