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Accessibility Review — Record Quality Audit + Secondary-Measure Weighted Mean
x402
Accessibility Review — 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 analysis on up to 200 accessibility review rows (checked_resources, remediated_resources), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Accessibility review — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean for supplied accessibility review records (checked_resources, remediated_resources). 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 out-of-range values across the supplied rows; and (2) a secondary-measure weighted mean computed over the specified field (checked_resources or remediated_resources), grouped by the dataset's dimensions — all derived locally from the supplied data with no external lookups.
Example use cases
Accessibility compliance data quality check
“I have 150 rows of accessibility review data with course groups, dates, and counts of checked and remediated resources — can you run a record quality audit on them and flag any bad or missing values?”
Weighted mean of remediated resources by group
“For my accessibility dataset with checked_resources and remediated_resources columns, compute a secondary-measure weighted mean using remediated_resources as the field across all my course groups.”
Dual report on education accessibility metrics
“Run both a record quality audit and a weighted mean analysis on my accessibility review records — I've got about 80 rows covering two course groups over the past quarter, and I need both reports in one call.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-19-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a weighted mean computation on accessibility review records in a single API call, without requiring external data sources, live lookups, or predictive modeling. It is specifically suited for education or compliance workflows tracking checked and remediated resources across course groups.
Side effects
- Exceeding 200 rows causes rejection or truncation
- Missing required fields (row_id, date, course_group, checked_resources, remediated_resources) trigger validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in both measure columns may degrade weighted mean computation
- Submitting fewer than 1 row returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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