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Style Guide Audits — Equal-Width Histogram + Secondary-Measure Weighted Mean
x402
Style Guide Audits — Equal-Width Histogram + 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 2026-10-24).
Computes an equal-width histogram and a secondary-measure weighted mean for style guide audit records (checked_items, flagged_items) over up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Style guide audits — Equal-width histogram + Secondary-measure weighted mean: Equal-width histogram + 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 statistical reports: (1) an equal-width histogram showing the frequency distribution of the selected field (checked_items or flagged_items) divided into the specified number of bins, and (2) a secondary-measure weighted mean computed across the audit rows. Both reports are generated locally from the supplied data with no external lookups.
Example use cases
Style compliance distribution for editorial team
“I have 50 style guide audit records from our editorial team across two document groups — can you bucket the checked_items into 8 equal-width bins and also give me the weighted mean of flagged_items? Each row has a date, document group, checked count, and flagged count.”
Writing quality trend histogram for content audit
“We ran a style guide audit over 120 documents last quarter. I want to see how the flagged_items are distributed — please compute a 10-bin equal-width histogram and the secondary weighted mean for flagged_items across all those rows.”
Compliance summary across document groups
“Can you analyze my style audit results? I've got about 80 records with checked_items and flagged_items per document group. Give me a histogram with 5 bins on checked_items and include the weighted mean report too.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-05-172?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a distributional histogram and a weighted mean summary for style guide audit data (checked_items and flagged_items) in a single low-cost call. It is ideal for offline, self-contained statistical analysis of up to 200 audit rows with no need for external data enrichment, prediction, or live lookups. Prefer it over general-purpose analytics tools when your data is already structured with document_group, date, checked_items, and flagged_items fields.
Side effects
- Rows array is empty or exceeds 200 items — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Bins value outside 1–30 range — rejected with schema error
- Null values in checked_items or flagged_items may affect weighted mean computation
- Field enum value not 'checked_items' or 'flagged_items' — validation error
- row_id missing or exceeds 80 characters — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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