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Account Research Coverage — Grouped Numeric Summary + Missing-Value Fill
x402
Account Research Coverage — Grouped Numeric Summary + Missing-Value Fill 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).
Computes grouped numeric summary statistics and fills missing values for account research coverage data (researched_accounts, target_accounts) across up to 200 rows in two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + Explicit missing-value fill 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 reports: (1) a grouped numeric summary with aggregate statistics (e.g. count, sum, mean, min, max) for the account research coverage fields broken down by company_group, and (2) the same dataset with missing values in the specified field explicitly filled using the chosen method (zero, mean, or median). No external data is fetched or predicted.
Example use cases
Sales coverage gap analysis by group
“I have 80 rows of account research data with company_group, date, researched_accounts, and target_accounts — some values are null. Can you give me a grouped numeric summary and fill the missing researched_accounts using median imputation?”
Quarterly pipeline coverage reporting
“We're preparing a quarterly report and need grouped stats on our target_accounts and researched_accounts across company groups. Can you run a summary and fill any missing target_accounts values with the group mean? I'll send you up to 150 rows.”
Data cleaning before CRM import
“Before we import our account research records into the CRM, I need to fill nulls in the researched_accounts field using zero fill and get a grouped summary by company_group — can you process these 120 rows for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-099?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured account research coverage tabular data (up to 200 rows) and need both grouped descriptive statistics and explicit missing-value imputation in a single low-cost call ($0.01 USDC). It is best suited for offline/batch analytical workflows where no live data lookup, prediction, or external action is required — purely local analytical computation on supplied data.
Side effects
- Rows array is empty or exceeds 200 items — validation error
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) in any row — schema rejection
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Numeric values outside the allowed range (±1,000,000,000,000) — schema rejection
- Invalid method enum value (not zero/mean/median) — validation error
- Invalid field enum value (not researched_accounts/target_accounts) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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