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Account Research Coverage — Adjacent Row Changes + Explicit Missing-Value Fill
x402
Account Research Coverage — Adjacent Row Changes + 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 2026-10-23).
Analyzes up to 200 account research coverage records, producing two reports: one showing adjacent row-to-row changes and one filling missing values using zero, mean, or median imputation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + 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
Two structured analytical reports: (1) an adjacent-row-changes report showing delta values between consecutive rows for the selected field (researched_accounts or target_accounts), grouped and ordered by date and company_group; (2) an explicit missing-value fill report where null entries in the selected field are replaced using the chosen method (zero, mean, or median), with filled values clearly indicated per row.
Example use cases
Daily account coverage gap detection
“Here are 80 rows of daily account research coverage records for our sales groups — can you fill in any null researched_accounts values using median imputation and also show me how the numbers changed between consecutive rows?”
Target accounts change audit across groups
“I need to review our target_accounts data across company groups for the last quarter — can you run an adjacent-row-changes report plus fill any missing target_accounts values with zero so I can see the full picture?”
Research pipeline data cleanup
“Our account research pipeline has some missing researched_accounts entries mixed in with valid rows — please fill those gaps using mean imputation and give me a row-change report alongside it, for all 200 rows I'm uploading.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-162?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of account research coverage data and need both a row-to-row change analysis and missing-value imputation in a single low-cost call. It is ideal for offline or batch data quality workflows where no live lookup, prediction, or external data enrichment is needed — just local analytical computation over supplied records.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Invalid date format — dates must match YYYY-MM-DD pattern
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) cause validation errors
- Invalid method enum value — only zero, mean, median are accepted
- Invalid field enum value — only researched_accounts or target_accounts are accepted
- Empty rows array — minItems:1 not satisfied
- Numeric values exceeding ±1,000,000,000,000 cause schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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