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Research Task Completion — String Normalisation + Explicit Missing-Value Fill
x402
Research Task Completion — String Normalisation + 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 2026-10-21).
Normalises string fields and fills missing values in research task completion records (completed_tasks, assigned_tasks) for up to 200 rows, producing 2 analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill for supplied research task completion records (completed_tasks, assigned_tasks). 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 analytical reports per call: one covering string normalisation outcomes for company_group and other string fields, and one showing explicit missing-value fills for the chosen field (completed_tasks or assigned_tasks) using the selected method (zero, mean, or median), applied across up to 200 supplied rows.
Example use cases
Impute missing task counts before reporting
“I've got 50 rows of weekly task completion data where some completed_tasks entries are null — fill those missing values using the mean and also normalise the company group strings so everything is consistent.”
Clean assigned task records for a research dashboard
“Before I load this into our research dashboard, can you normalise the string fields and use median imputation to fill any missing assigned_tasks values across these 120 task completion rows?”
Zero-fill nulls in task tracking export
“I exported our task tracking data and there are gaps in both completed_tasks and assigned_tasks — please normalise the strings and fill all missing values with zero for this batch of 80 records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-037?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular research task completion records with messy string fields or null numeric values and need both string normalisation and missing-value imputation in a single low-cost call. It operates entirely on supplied data with no external lookups, making it deterministic and safe for sensitive datasets. Best suited for small-to-medium batches (up to 200 rows) where you want two distinct cleaning reports for $0.01.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Invalid date format (not YYYY-MM-DD) — row fails schema validation
- Unknown imputation method value — enum validation error
- Empty rows array — minItems:1 violated
- Numeric values outside ±1,000,000,000,000 range — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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