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Style Guide Audits — Trailing Mean Series + Secondary-Measure Weighted Mean
x402
Style Guide Audits — Trailing Mean Series + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Computes a trailing moving-average time series and a secondary-measure weighted mean over supplied style guide audit records (checked_items, flagged_items) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Style guide audits — Trailing mean series + Secondary-measure weighted mean: Trailing mean series + Secondary-measure weighted mean 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
Two independent analytical reports: (1) a trailing moving-average time series over the selected field (checked_items or flagged_items) using the specified window size, and (2) a secondary-measure weighted mean across the supplied rows grouped by document_group. Both reports are computed locally from the submitted data with no external lookups.
Example use cases
Monthly writing compliance trend analysis
“I have 50 rows of style guide audit results by date and document group, with checked_items and flagged_items columns. Can you compute a rolling 7-day trailing mean series for flagged_items and also give me a weighted mean across groups?”
Editorial team audit dashboard metric
“Our editorial team runs daily style checks across two document groups. I've got 30 daily audit records — can you calculate the trailing mean series with a window of 5 and the secondary-measure weighted mean for checked_items so we can spot compliance trends?”
Content governance quality report
“I need to analyze 100 rows of style guide audit data covering multiple document groups over the past quarter. Please compute the trailing mean series and weighted mean for flagged_items using a window of 10 so I can see where violations are clustering.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-05-151?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time series and a weighted mean summary computed together from user-supplied style guide audit data in a single call. It is well-suited for document compliance tracking, editorial quality monitoring, or any scenario where checked_items and flagged_items are the core metrics. Prefer it over generic analytics tools when you want a bundled two-report result at low cost ($0.01 USDC) without any live data lookups or external dependencies.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (must be YYYY-MM-DD) causes row validation failure
- Window size smaller than 2 or larger than 200 returns an error
- checked_items or flagged_items values outside ±1,000,000,000,000 are rejected
- Missing required fields (row_id, document_group, date) cause schema validation errors
- Field enum value not 'checked_items' or 'flagged_items' causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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