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Newsroom Assignments — Exact Row Deduplication + Two-Measure Correlation
x402
Newsroom Assignments — Exact Row Deduplication + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Deduplicates newsroom assignment records and computes correlation between assigned_items and completed_items across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Newsroom assignments — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation 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
Two analytical reports: (1) an exact row deduplication report identifying and removing duplicate rows from the supplied newsroom assignment records, and (2) a two-measure correlation report quantifying the statistical relationship between assigned_items and completed_items across the dataset. No external lookups or predictions are performed.
Example use cases
Daily newsroom completion rate analysis
“I have a week's worth of newsroom assignment data across two channel groups — each row has a date, row_id, channel_group, assigned_items, and completed_items. Can you deduplicate the rows and tell me how strongly the number of assigned items correlates with completed items?”
Audit editorial pipeline for duplicate entries
“Our editorial system may have logged duplicate assignment records. Can you run exact row deduplication on this set of newsroom assignment rows and also give me the correlation between assigned_items and completed_items so I can understand productivity?”
Channel group performance correlation check
“I've exported newsroom assignment data for groups A and B over October — each entry has a row_id, date, channel_group, assigned_items, and completed_items. Please deduplicate the dataset and compute the correlation between assignments and completions so I can see if busier days lead to more completions.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-03-050?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have newsroom assignment tabular data (up to 200 rows) and need both exact duplicate row detection and a statistical correlation between two numeric measures (assigned_items and completed_items) in a single low-cost call. It is ideal for editorial operations teams auditing data quality and measuring productivity relationships without needing live lookups, ML predictions, or external integrations.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, channel_group, assigned_items, completed_items) causes row rejection
- Invalid date format (non-YYYY-MM-DD) triggers a pattern validation error
- Null values in both measures may reduce correlation reliability
- Submitting fewer than 1 row returns a minItems validation error
- Payment failure (insufficient USDC) prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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