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Accessibility Findings — Two-Measure Correlation + Secondary-Measure Weighted Mean
x402
Accessibility Findings — Two-Measure Correlation + 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 2026-11-02).
Computes Pearson/rank correlation between two accessibility metrics and a weighted mean of a secondary measure across up to 200 supplied accessibility findings records, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Accessibility findings — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean 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 Pearson or rank correlation coefficient between the 'findings' and 'resolved_findings' columns across all supplied rows, and (2) a weighted mean of the selected secondary measure (findings or resolved_findings) — both computed locally on the supplied data with no external lookups.
Example use cases
Sprint accessibility resolution tracking
“I've got 50 rows of accessibility findings from our last sprint, each with a findings count and resolved_findings count per area and date — can you run the two-measure correlation and weighted mean on the resolved_findings field so I can see how well we're closing issues?”
Game area compliance audit
“Here's a dataset of 120 accessibility audit records across different game areas for Q3 — please compute the correlation between findings and resolved_findings and give me the secondary-measure weighted mean for findings so I can report on compliance trends.”
Weekly accessibility KPI report
“I have this week's accessibility data across 30 rows for our app's game areas, each row has a date, area name, findings, and resolved_findings — run both the two-measure correlation and weighted mean on resolved_findings and tell me what the numbers look like.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-17-181?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of accessibility findings data with both a raw findings count and a resolved_findings count, and you need both a correlation analysis between those two measures AND a weighted mean of one of them in a single paid call. It is a local analytical engine — no external data enrichment, live lookups, or predictions are performed, making it fast and deterministic. Prefer alternatives if you need more than 200 rows, require ML-based predictions, or need only a single statistic rather than both reports.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — request rejected (maxItems limit)
- Missing required fields (row_id, game_area, date, findings, resolved_findings) in any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field enum value not 'findings' or 'resolved_findings' — validation error
- All values null for selected field — correlation or weighted mean cannot be computed
- Payment not included or insufficient (must be 0.01 USDC via x402) — payment error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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