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Account Research Coverage — Numeric Distribution + Date by Category Pivot
x402
Account Research Coverage — Numeric Distribution + 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).
Runs two local analytical reports on supplied account research coverage data: a numeric distribution analysis and a date-by-category pivot, grouped by company category.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Numeric distribution + Date by category pivot: Numeric distribution + 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 derived entirely from the supplied data: (1) a numeric distribution of the selected field (e.g. researched_accounts or target_accounts) showing spread, frequency, and statistical shape; and (2) a date-by-category pivot breaking down values by company_group across dates. No external data sources are used; all computation is local to the supplied rows (up to 200).
Example use cases
Sales team coverage gap analysis
“I have account research records for our sales regions across Q4 — each row has a company_group, a date, and counts of researched_accounts and target_accounts. Can you run a numeric distribution plus a date-by-category pivot on these so I can see where coverage is thin? Use researched_accounts as the analysis field.”
Weekly pipeline research review
“Every Monday I want to review how many accounts each team researched last week. I've got the data as rows with row_id, company_group, date, researched_accounts, and target_accounts. Can you give me a numeric distribution and a date-by-category breakdown pivoting on target_accounts?”
Multi-group account targeting audit
“We have about 150 rows of account research data across five company groups for the past month. Can you produce a numeric distribution report and a date-by-category pivot for the researched_accounts field so I can audit whether each group is hitting their research targets?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-083?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of account research coverage records (with company_group, date, researched_accounts, target_accounts) and need both a numeric distribution and a date-by-category pivot in a single low-cost call. It is ideal for self-contained, offline analysis of supplied data with no need for live lookups or external enrichment. Prefer alternatives if you need forecasting, live CRM integration, more than 200 rows, or a single report type only.
Side effects
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) causes validation error
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Null values in both numeric fields may reduce statistical report quality
- Invalid field enum value (not 'researched_accounts' or 'target_accounts') causes rejection
- Empty rows array (minItems: 1 violation) will fail input validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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