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News Archive Completeness — String Normalisation + Numeric Distribution
x402
News Archive Completeness — String Normalisation + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Runs string normalisation and numeric distribution analysis on up to 200 rows of news archive completeness records (indexed_items, expected_items), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
News archive completeness — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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
Two independent analytical reports: (1) a string normalisation report covering the textual fields in the submitted rows, and (2) a numeric distribution report covering the selected numeric field (indexed_items or expected_items), including statistical spread, counts, and distribution characteristics — all computed locally without external lookups.
Example use cases
News pipeline coverage audit
“I have daily news archive records for two channel groups over the past week — each row has a date, channel_group, indexed_items, and expected_items. Can you normalize the string fields and show me the numeric distribution of indexed_items across all rows?”
Channel group completeness benchmarking
“I want to compare how complete our news indexing is across different channel groups. Here are 50 rows with row_id, channel_group, date, indexed_items, and expected_items — please run the string normalisation and numeric distribution reports on expected_items.”
Data quality check on archive ingestion logs
“We have an archive ingestion log with up to 150 rows including indexed_items and expected_items counts per date and channel group. Can you run both the string normalisation and numeric distribution analyses so I can spot any anomalies or gaps?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-23-022?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, offline statistical analysis of news archive completeness records — specifically string normalisation combined with numeric distribution — on batches up to 200 rows. It is ideal when you do not need live data lookups, predictions, or external data enrichment, and want two bundled analytical reports at low cost ($0.01 USDC per call).
Side effects
- Exceeding 200 rows limit returns a validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, indexed_items, expected_items) results in a validation error
- Numeric values outside the allowed range (±1,000,000,000,000) are rejected
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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