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Account Research Coverage — Two-Measure Correlation + Date by Category Pivot
x402
Account Research Coverage — Two-Measure Correlation + 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 2026-10-15).
Runs two analytical reports on supplied account research coverage data: a Pearson-style correlation between researched_accounts and target_accounts, and a date-by-category pivot table.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Two-measure correlation + Date by category pivot: Two-measure correlation + 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 independent analytical reports: (1) a correlation report showing the statistical relationship between the researched_accounts and target_accounts measures across all supplied rows, and (2) a date-by-category pivot table aggregating the selected measure (researched_accounts or target_accounts) broken down by date and company_group category. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Sales team coverage gap analysis
“I have daily records for our two sales regions — east and west — from 2026-01-01 to 2026-01-10, each row showing how many accounts were researched versus targeted. Can you correlate researched_accounts against target_accounts and pivot the researched_accounts values by date and region so I can see where we're falling short?”
Account research efficiency benchmarking
“We track account research coverage weekly across three company groups — enterprise, mid-market, and SMB — with up to 50 rows. Please compute the correlation between our researched_accounts and target_accounts, and generate the date-by-category pivot for target_accounts so I can benchmark each group's efficiency.”
Monthly CRM coverage reporting
“Here are 120 rows of monthly CRM data with company_group, date, researched_accounts, and target_accounts. Run both the two-measure correlation report and the date-by-category pivot on researched_accounts so I can include them in our monthly coverage report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-182?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of account research coverage data with researched_accounts and target_accounts fields, and you need both a pairwise correlation between those two measures AND a date-by-category pivot in a single low-cost call ($0.01 USDC). Prefer this over general BI tools when you want a lightweight, self-contained analytical result without setting up a data warehouse or running live queries.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — request rejected
- Missing required fields (row_id, date, company_group) — schema validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Numeric values outside allowed range (-1T to 1T) — validation error
- Null values in both measures — correlation may be undefined or NaN
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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