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News Archive Completeness — Category Frequencies + Numeric Interval Filter
x402
News Archive Completeness — Category Frequencies + Numeric Interval Filter 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 for channel groups and filtering rows by a numeric interval on indexed_items or expected_items, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
News archive completeness — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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 frequency table of how often each channel_group category appears in the supplied rows, and (2) a filtered subset of rows where the specified numeric field (indexed_items or expected_items) falls within the given minimum–maximum interval. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
News indexing gap audit by channel
“I have a list of news archive records with indexed_items and expected_items per channel_group and date — can you break down how often each channel group appears and show me only the rows where indexed_items falls between 5 and 100?”
Completeness anomaly triage by range
“Here are 150 rows of news archive completeness data; I want category frequencies across channel groups and a filter on expected_items between 0 and 50 to spot under-expected channels.”
Daily archive snapshot distribution check
“Run two reports on my news archive completeness snapshot: first, how are the channel_groups distributed in frequency, and second, which rows have indexed_items between 20 and 200? I have about 80 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-23-101?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two bundled analytical operations — category frequency distribution and numeric range filtering — on news archive completeness data (indexed_items, expected_items) in a single low-cost call. It is ideal for offline/batch analysis of up to 200 pre-collected archive records where no live data lookup or prediction is needed. Prefer it over general-purpose analytics tools when you want a lightweight, pay-per-use computation with a fixed $0.01 USDC cost covering both reports simultaneously.
Side effects
- Rows array empty or missing — returns validation error
- More than 200 rows supplied — exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- minimum greater than maximum — may return empty interval filter result
- Missing required row fields (row_id, channel_group, date) — schema rejection
- Non-numeric value for indexed_items or expected_items — type validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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