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News Archive Completeness — Category Frequencies + Two-Measure Correlation
x402
News Archive Completeness — Category Frequencies + 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 2026-11-02).
Analyzes news archive completeness records by computing category frequencies across channel groups and calculating the correlation between indexed_items and expected_items.
Price / call$0.01
Success—
StatusUnknown
How this service works
News archive completeness — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation for supplied news archive completeness records (indexed_items, expected_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) a category frequency report showing how often each channel_group appears across the supplied rows, and (2) a Pearson or rank correlation between the indexed_items and expected_items numeric measures — all computed locally from the supplied data with no external lookups.
Example use cases
Audit news indexer coverage by channel
“I have daily records from my news indexer for October 2026 with channel groups like 'world-news' and 'tech', showing how many articles were indexed vs expected each day — can you give me the frequency breakdown by channel group and tell me how strongly indexed_items correlates with expected_items across all rows?”
Detect gaps in archive completeness
“Here are 150 rows of my news archive completeness data with dates, channel groups, indexed_items, and expected_items — run a category frequency analysis and a correlation report so I can see which channel groups are underrepresented and whether indexing tracks expected volume.”
Validate news feed ingestion pipeline
“My data pipeline ingests news from several channel groups daily — I'll supply up to 200 rows of indexed vs expected item counts and I need both a frequency summary by channel group and the two-measure correlation to validate the pipeline is keeping up.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-23-108?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of news archive completeness data keyed by channel group and date, and you need both a categorical frequency breakdown and a numeric correlation between two measures (indexed vs expected items) in a single low-cost call. It is ideal for lightweight, offline statistical auditing without requiring external data sources or a full analytics platform.
Side effects
- Missing required fields (row_id, channel_group, date, indexed_items, or expected_items) causes validation error
- Exceeding 200 rows returns an error or truncation
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Null values in both numeric measures may degrade or invalidate correlation output
- Empty rows array rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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