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Newsroom Assignments — Exact Row Deduplication + Secondary-Measure Weighted Mean
x402
Newsroom Assignments — Exact Row Deduplication + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Deduplicates newsroom assignment rows and computes a secondary-measure weighted mean across assigned_items or completed_items data, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Newsroom assignments — Exact row deduplication + Secondary-measure weighted mean: Exact row deduplication + Secondary-measure weighted mean for supplied newsroom assignments records (assigned_items, completed_items). 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 analytical reports: (1) an exact row deduplication report identifying and removing duplicate rows from the supplied newsroom assignment records, and (2) a secondary-measure weighted mean report computing a weighted average across the chosen measure field (assigned_items or completed_items), both derived purely from the supplied data with no external lookups.
Example use cases
Editorial team daily assignment audit
“I have daily newsroom assignment logs for our two channel groups for last week — can you deduplicate any repeated rows and give me a weighted mean on assigned_items? Here are the records: row-1, 2026-10-01, group-a, 10 assigned, 1 completed; row-2, 2026-10-02, group-b, 20 assigned, 2 completed; row-3, 2026-10-03, group-a, 15 assigned, 3 completed.”
Completed items performance analysis
“Run a deduplication and weighted mean analysis on completed_items for these newsroom assignment records — I want to see both a clean deduplicated report and the weighted mean summary: row-1, 2026-10-01, group-a, 50 assigned, 40 completed; row-2, 2026-10-02, group-b, 80 assigned, 60 completed; row-3, 2026-10-01, group-a, 50 assigned, 40 completed (possible duplicate).”
Multi-channel assignment load balancing review
“Can you process these 5 newsroom assignment rows across group-a and group-b, deduplicate exact repeats, and compute the weighted mean for assigned_items? row-1 2026-10-01 group-a 100 assigned 80 completed, row-2 2026-10-02 group-b 200 assigned 150 completed, row-3 2026-10-03 group-a 120 assigned 90 completed, row-4 2026-10-04 group-b 180 assigned 130 completed, row-5 2026-10-04 group-b 180 assigned 130 completed.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-03-051?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact row deduplication and a weighted mean computation on newsroom assignment data (assigned_items or completed_items) in a single call. It is ideal for editorial operations teams cleaning assignment logs and needing a statistical summary without building custom data pipelines. Best suited for datasets of up to 200 rows where both reports are needed together at low cost ($0.01 USDC for both).
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, channel_group, date, assigned_items, completed_items) causes rejection
- Invalid date format (non-YYYY-MM-DD) fails schema validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array (minItems:1 violated) returns an error
- Invalid field enum value (not assigned_items or completed_items) causes failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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