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Accessibility Observations — String Normalisation + Secondary-Measure Weighted Mean
x402
Accessibility Observations — String Normalisation + 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 2026-10-27).
Normalises strings and computes a secondary-measure weighted mean over accessibility observation records (checked_elements, flagged_elements) for up to 200 rows across 2 independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Accessibility observations — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied accessibility observations records (checked_elements, flagged_elements). 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 2 independent analytical reports covering string-normalised versions of the input records and the secondary-measure weighted mean computed over the selected field (checked_elements or flagged_elements) for up to 200 input rows, without any external lookups or live data.
Example use cases
Weekly accessibility audit summary
“I've got 50 rows of accessibility scan data from last week across group-a and group-b sites, each with checked_elements and flagged_elements counts. Can you normalise the strings and give me the secondary-measure weighted mean for checked_elements so I can see which group has the heavier compliance load?”
Comparing flagged element ratios across site groups
“Here are 120 accessibility observation records from our October audit, with site_group, date, checked_elements, and flagged_elements. Please run string normalisation and compute the weighted mean for the flagged_elements field so I can compare error rates across groups.”
Monthly accessibility trend aggregation
“I need to process 180 rows of web accessibility observations — each has a row_id, site_group, date, checked_elements, and flagged_elements. Run the string normalisation and secondary-measure weighted mean analysis on the checked_elements field and give me the two report outputs.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-16-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local analytical computation combining string normalisation and secondary-measure weighted mean on accessibility observation data (checked_elements, flagged_elements) for up to 200 rows and 2 reports per call, with no need for live lookups, external predictions, or professional assessments. Prefer it for batch accessibility data post-processing tasks where reproducible statistical summaries per site group are required at low cost.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, date, site_group, checked_elements, flagged_elements) in any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Numeric values outside allowed range (±1,000,000,000,000)
- Invalid field enum value — must be 'checked_elements' or 'flagged_elements'
- Empty rows array — minItems 1 required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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