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Accessibility Observations — String Normalisation + Date by Category Pivot
x402
Accessibility Observations — String Normalisation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Normalises strings and produces a date-by-category pivot table for accessibility observation records (checked_elements, flagged_elements) across up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Accessibility observations — String normalisation + Date by category pivot: String normalisation + Date by category pivot 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 two analytical reports: (1) a string-normalised view of the site_group labels across all supplied rows, and (2) a date-by-category pivot table aggregating the selected field (checked_elements or flagged_elements) broken down by date and site_group — all computed locally without external lookups.
Example use cases
Weekly accessibility audit pivot
“I have 50 rows of weekly accessibility scan results with site groups and dates — can you normalise the site group labels and give me a date-by-category pivot on the flagged_elements field so I can see which groups are trending worse?”
Multi-site checked elements summary
“Clean up the site_group strings in my accessibility data and pivot the checked_elements counts by date and category — here are 120 rows covering three site groups over the past quarter.”
Accessibility compliance trend report
“Take these 30 accessibility observation records across two site groups and run string normalisation plus a date pivot on flagged_elements so I can spot which dates and groups had the most accessibility issues.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-16-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation of categorical labels and a date-by-category pivot in a single call on accessibility observation data (checked_elements, flagged_elements) for up to 200 rows. It is ideal when you want two analytical reports cheaply ($0.01 USDC) without any live lookup, external prediction, or professional assessment — purely local analytical computation on your supplied data.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, site_group) cause row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Null values in the selected numeric field may produce incomplete pivot cells
- Submitting an invalid field enum value (not checked_elements or flagged_elements) returns a schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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