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Style Guide Audits — Numeric Interval Filter + Two-Measure Correlation
x402
Style Guide Audits — Numeric Interval Filter + 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 2026-10-26).
Filters style guide audit records by a numeric interval on a chosen measure and computes a two-measure Pearson/Spearman correlation between checked_items and flagged_items for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Style guide audits — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation for supplied style guide audits records (checked_items, flagged_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 filtered subset of the supplied rows where the selected numeric field (checked_items or flagged_items) falls within the specified minimum–maximum interval, and (2) a two-measure correlation analysis between checked_items and flagged_items across all supplied rows. Results are computed locally with no external lookup or live data. Up to 200 input rows are supported.
Example use cases
Editorial team compliance review
“Here are 120 style guide audit records from our editorial team — filter them to show only rows where flagged_items is between 2 and 15, and also compute the correlation between checked_items and flagged_items so I know if high-volume checks tend to catch more issues.”
Document group quality benchmarking
“I've got audit logs from four document groups, up to 200 rows total, with checked_items and flagged_items per entry — run a numeric interval filter keeping only rows where checked_items is between 10 and 60, and give me the two-measure correlation report as well.”
Identifying low-flag writing batches
“Can you analyze these style audit records and filter to the rows where flagged_items falls between 0 and 5, then show me how checked_items and flagged_items are correlated overall so I can see whether lighter reviews are missing issues?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-05-131?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular style guide audit records with checked_items and flagged_items columns and need both (a) a numeric range filter to isolate rows in a specific interval and (b) a correlation statistic between the two measures — delivered together in a single $0.01 call covering up to 200 rows. It is purely analytical (no external calls, no predictions), making it appropriate for offline or privacy-sensitive audit data. Prefer alternatives if you need more than 200 rows, live style checking, IQR-based outlier detection, or a histogram rather than a correlation.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required row fields (row_id, date, document_group, checked_items, flagged_items) — validation error
- minimum greater than maximum — no rows pass the interval filter, empty filtered report
- All values for one measure are null — correlation cannot be computed, report returns error or NaN
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- checked_items or flagged_items outside allowed range (±1e12) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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