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Research Task Completion — Duplicate Key Report + Trailing Mean Series
x402
Research Task Completion — Duplicate Key Report + Trailing Mean Series 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 produce a duplicate key report and a trailing mean series for a chosen metric field.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Duplicate key report + Trailing mean series: Duplicate key report + Trailing mean series 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
Returns two independent analytical reports: (1) a duplicate key report identifying rows with repeated identifiers or key combinations, and (2) a trailing mean series for the selected metric field (completed_tasks or assigned_tasks) computed over the specified rolling window — all derived locally from the supplied data rows with no external lookups.
Example use cases
Spot duplicate entries in task logs
“I have a batch of research task completion records from last quarter — can you check them for any duplicate row IDs or repeated date/company-group combinations and give me a full duplicate key report?”
Rolling average trend for task completion
“Take these 150 research task records and calculate a trailing mean series for the completed_tasks field using a window of 7, so I can see the smoothed completion trend over time.”
Dual quality check for assigned tasks
“Run both a duplicate key report and a trailing mean series on my assigned_tasks data across these company groups — use a window of 10 and flag any repeated keys in the same pass.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-061?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both duplicate key detection and rolling mean analytics on research task completion data in a single low-cost call. It is ideal for data quality checks on task tracking datasets of up to 200 rows where no external data enrichment, live lookup, or prediction is required. Prefer this over general-purpose analytics tools when you want a bundled, pay-per-call solution that covers two common analytical needs simultaneously.
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows submitted — exceeds maximum batch size
- Invalid date format (must be YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, company_group, date) results in rejection
- Window size larger than the number of supplied rows may yield sparse or empty trailing mean output
- Null values in the selected metric field may reduce trailing mean coverage
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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