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Style Guide Audits — Record Quality Audit + Secondary-Measure Weighted Mean
x402
Style Guide Audits — Record Quality Audit + 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 2026-10-26).
Runs a record quality audit and a secondary-measure weighted mean on up to 200 style guide audit rows (checked_items, flagged_items), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Style guide audits — Record quality audit + Secondary-measure weighted mean: Record quality audit + 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 independent reports: (1) a record quality audit identifying missing, null, or anomalous values across the supplied rows; and (2) a secondary-measure weighted mean calculation over the chosen field (checked_items or flagged_items) across all valid rows. Both reports are computed locally with no external lookups.
Example use cases
Editorial team audit health check
“I have a week's worth of style guide audit records across two document groups — run a record quality audit and compute the weighted mean of flagged_items so I can see where our editorial compliance stands. Here are the rows: row-1 on 2026-10-01 with 50 checked and 5 flagged in group-a, row-2 on 2026-10-02 with 80 checked and 12 flagged in group-b, row-3 on 2026-10-03 with 60 checked and 8 flagged in group-a.”
Content governance flagging analysis
“Can you audit these style guide records for data quality issues and give me the secondary-measure weighted mean for flagged_items? I've got rows from three document groups over October, with checked_items ranging from 15 to 100 and flagged_items from 0 to 20. I want to know if any records are missing or anomalous before I report upward.”
Writing quality benchmark across groups
“Run a record quality audit and weighted mean computation on my style guide audit dataset — 10 rows across document groups legal, marketing, and product, dates from 2026-11-01 to 2026-11-10, checked_items between 25 and 200, flagged_items between 1 and 15. Use flagged_items as the analysis field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-05-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular style guide audit data (checked_items and flagged_items per document group and date) and need both a data quality check and a weighted mean statistic in a single low-cost call. It is purpose-built for writing/editorial audit workflows, processes up to 200 rows per call, and costs only $0.01 USDC for both reports — ideal for lightweight batch analytics on content compliance datasets without requiring an external analytics platform.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, document_group, checked_items, flagged_items) causes row-level audit failures
- Dates not matching YYYY-MM-DD pattern are rejected
- All-null values for the selected field may produce an undefined weighted mean
- Payment failure (x402) blocks execution entirely
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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