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Correction Logs String Normalisation + Numeric Interval Filter
x402
Correction Logs String Normalisation + 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).
Normalises string fields and filters correction log rows by a numeric interval (min/max) for correction_count or published_items, delivering two analytical reports from supplied data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Correction logs — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter for supplied correction logs records (correction_count, published_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 based on the supplied correction log rows: one reflecting string-normalised channel_group values and one showing only rows whose selected numeric field (correction_count or published_items) falls within the specified minimum–maximum interval. Up to 200 rows processed per call with no external lookups.
Example use cases
Editorial correction rate range audit
“Here are my newsroom correction logs for October — can you normalise the channel_group strings and filter down to only rows where correction_count is between 10 and 50, then give me the two reports on what's left?”
Published items volume band filter
“I've got 150 rows of correction log data with published_items counts — please normalise the string fields and filter to rows where published_items falls between 100 and 5000, using the published_items field for the interval check.”
Low-correction channel identification
“Can you take my correction logs dataset, normalise channel_group strings, and filter to only rows with correction_count between 0 and 5 so I can identify channels with very few corrections? I need the two analytical reports back.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-04-026?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular correction log records (up to 200 rows) that need string field normalisation combined with numeric range filtering on either correction_count or published_items, and you want two bundled analytical reports in a single low-cost call. Prefer it over general-purpose data tools when your data fits the news/editorial correction domain schema exactly and you want a lightweight, local analytical pass without external API round-trips or predictions.
Side effects
- Rows array empty or missing — request rejected
- More than 200 rows submitted — exceeds maximum item limit
- Invalid date format (non YYYY-MM-DD) — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Field enum value not 'correction_count' or 'published_items' — validation error
- Minimum greater than maximum — may return zero filtered rows
- Missing required row fields (row_id, channel_group, date) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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