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Accessibility Findings — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean
x402
Accessibility Findings — Record Quality Audit + 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 2026-10-26).
Runs three local analytical reports on accessibility findings data: record quality audit, string normalisation, and secondary-measure weighted mean for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Accessibility findings — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied accessibility findings records (findings, resolved_findings). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three analytical reports for the submitted accessibility findings rows: (1) a record quality audit flagging data issues, (2) normalised string output for text fields, and (3) a weighted mean calculation for the selected secondary measure (findings or resolved_findings). All computed locally with no external lookups, covering up to 200 input rows.
Example use cases
Audit accessibility findings data quality
“I have a batch of 80 accessibility findings records with dates, game areas, and counts of findings and resolved findings — can you run a record quality audit on them so I can spot missing values or bad rows before I report on them?”
Normalise game area strings in findings dataset
“My accessibility dataset has inconsistent capitalisation and whitespace in the game_area field across 120 rows — can you run string normalisation on the findings and resolved_findings records to clean them up?”
Compute weighted mean of resolved findings
“I've got 150 rows of accessibility findings data broken down by game area and date — can you compute a secondary-measure weighted mean on the resolved_findings field so I can see which areas are performing best on a weighted basis?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-17-205?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations — record quality audit, string normalisation, and weighted mean — on accessibility findings data in a single low-cost call. It is best suited for batch offline analysis of up to 200 rows where no live data lookup, prediction, or external action is needed. Prefer it over single-operation endpoints when you want all three reports for the price of one call ($0.01 USDC).
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, game_area, date, findings, resolved_findings) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Numeric values out of allowed range (±1,000,000,000,000) — rejection
- Invalid field enum value (must be 'findings' or 'resolved_findings') — error
- Payment of 0.01 USDC not provided — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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