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Research Task Completion — Duplicate Key Report + Missing Value Fill
x402
Research Task Completion — Duplicate Key Report + 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 2026-10-17).
Analyzes up to 200 research task completion records to identify duplicate keys and fill missing values using zero, mean, or median imputation, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Duplicate key report + Explicit missing-value fill: Duplicate key report + 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 independent reports: (1) a duplicate key report identifying any row_id values that appear more than once in the supplied dataset, and (2) a missing-value fill report showing original null values for the specified field (completed_tasks or assigned_tasks) replaced using the chosen method (zero, mean, or median). No external data is fetched; all analysis runs on the supplied rows only.
Example use cases
Audit task records for duplicate entries
“I have a batch of research task completion records for two company groups across October and I suspect some row IDs got duplicated — can you run a duplicate key report on all 150 rows and also fill any missing completed_tasks values using mean imputation?”
Impute missing assigned tasks before reporting
“Before I send this task completion dataset to my manager, can you fill in the null assigned_tasks values using median and also flag any duplicate row IDs in the 80 records I'm supplying?”
Data quality check on task completion exports
“I exported task completion data from our research tracker and I want to validate it — run a duplicate key check and fill any missing completed_tasks entries with zero for the 200 rows I have, grouped by company_group and date.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-070?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a duplicate key audit and missing-value imputation on research task completion data (completed_tasks, assigned_tasks) in a single low-cost call. It is purpose-built for task completion records with company_group and date dimensions, supports up to 200 rows, and delivers two reports for $0.01 USDC. Prefer it over generic data-cleaning tools when your data fits the exact schema (row_id, company_group, date, completed_tasks, assigned_tasks) and you want offline analysis without any external lookups or predictions.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- row_id missing or empty — required field error
- Unknown imputation method or field name — enum validation error
- Payment not provided or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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