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Account Research Coverage — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill
x402
Account Research Coverage — Secondary-Measure Weighted Mean + Explicit 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 2026-10-15).
Computes a secondary-measure weighted mean and fills missing values for account research coverage records (researched_accounts, target_accounts) across up to 200 rows, producing 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + 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 2 independent analytical reports: (1) a secondary-measure weighted mean computed across the submitted rows for the selected field (researched_accounts or target_accounts), and (2) the same dataset with missing values explicitly filled using the specified method (zero, mean, or median). Results are based entirely on the supplied data with no external lookups.
Example use cases
Sales team coverage gap analysis
“I have daily account research coverage records for our sales teams across Q4 — can you run a weighted mean on the researched_accounts field and fill any nulls with the median so I can see which groups are underperforming?”
Target account aggregation by group
“Here are 150 rows of target_accounts data split across three company groups from January through March — please compute the secondary-measure weighted mean and fill missing values using zero so we get a clean summary report.”
CRM data quality cleanup with coverage stats
“Our CRM export has gaps in both researched_accounts and target_accounts columns across about 80 rows for two business units — can you fill the missing values with the mean and give me the weighted average so I can trust the coverage numbers?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a weighted mean aggregation and explicit missing-value imputation on account research coverage data (researched_accounts / target_accounts) in a single low-cost call. It is ideal for sales ops or CRM analytics workflows where data has gaps and you want clean, imputed series alongside a weighted summary — without requiring a live data connection, prediction model, or external API. Best for batch sizes up to 200 rows where you supply the data directly.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds batch limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, company_group, date) — validation failure
- All values null with fill method 'mean' or 'median' — undefined result or empty report
- Payment not completed — endpoint returns 402 and no computation is performed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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