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Style Guide Audits — IQR Outlier Flags + Secondary-Measure Weighted Mean
x402
Style Guide Audits — IQR Outlier Flags + 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).
Runs two local statistical reports on style guide audit records: IQR-based outlier detection and a secondary-measure weighted mean, across up to 200 rows of checked/flagged item counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Style guide audits — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + 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
Returns two analytical reports: (1) IQR outlier flags identifying which rows have values outside the interquartile range for the selected field, and (2) a secondary-measure weighted mean computed across the supplied rows — both derived entirely from the submitted data with no external lookups.
Example use cases
Flagging anomalous audit batches
“I have 150 rows of style guide audit results with checked_items and flagged_items per document group. Can you flag any IQR outliers and give me a weighted mean of the flagged_items field so I can see which batches are behaving unusually?”
Monthly style compliance review
“We just finished our monthly style guide review — here are the audit records for each document group with dates, checked item counts, and flagged item counts. Run both the IQR outlier report and the secondary-measure weighted mean on checked_items so I can summarize this for the team.”
Comparing flagged-item rates across groups
“I want to compare flagged_items rates across our different document groups in this style guide audit dataset. Can you run the IQR outlier flags and weighted mean computation on the flagged_items field for these rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-05-177?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous statistical reports — IQR outlier detection and weighted mean — on style guide audit data (checked_items and flagged_items) without any external data enrichment, prediction, or professional assessment. It is ideal for local, self-contained analysis of up to 200 audit rows at very low cost ($0.01 USDC for both reports).
Side effects
- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, document_group, date, checked_items, or flagged_items) on any row
- Invalid date format (must be YYYY-MM-DD)
- Numeric values outside allowed range (±1,000,000,000,000)
- Invalid field enum value — must be 'checked_items' or 'flagged_items'
- Payment not received or insufficient USDC balance
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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