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Accessibility Findings — Record Quality Audit + Two-Measure Correlation
x402
Accessibility Findings — Record Quality Audit + Two-Measure Correlation 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 Pearson/two-measure correlation analysis on up to 200 rows of accessibility findings data (findings and resolved_findings fields), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Accessibility findings — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation for supplied accessibility findings records (findings, resolved_findings). 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 analytical reports: (1) a record quality audit identifying missing values, out-of-range entries, or formatting issues across the supplied rows, and (2) a two-measure correlation report computing the statistical relationship (e.g. Pearson correlation) between the 'findings' and 'resolved_findings' numeric columns. No external lookups or predictions are made; analysis is performed locally on the supplied data only.
Example use cases
Weekly accessibility sprint data review
“I have 50 rows of accessibility findings from our last sprint across game areas — can you audit their data quality and also check whether the number of resolved findings correlates with total findings? Rows include row IDs, dates in YYYY-MM-DD format, game area names, and both findings and resolved_findings counts.”
QA team findings tracking validation
“Our QA team logged 120 accessibility findings records over the past month with fields for date, game_area, findings, and resolved_findings — run a quality audit to spot any bad records and give me a two-measure correlation between findings and resolved_findings.”
Accessibility compliance report prep
“Before I present our accessibility compliance report, can you check data quality and compute the correlation between total findings and resolved findings across these 80 rows covering groups alpha, beta, and gamma from Q3 2026?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-17-015?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a two-measure correlation analysis on accessibility findings records in a single $0.01 call (up to 200 rows). It is ideal for teams that track accessibility issues by game area over time and want to validate their dataset's integrity while simultaneously checking whether resolution rates track with discovery rates — all without sending data to an external ML or prediction service.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — exceeds maxItems limit
- Missing required fields (row_id, game_area, date, findings, resolved_findings) on any row
- Date field does not match YYYY-MM-DD pattern — validation error
- findings or resolved_findings values outside allowed numeric range
- Insufficient non-null numeric pairs to compute meaningful correlation — may return NaN or warning
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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