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Accessibility Findings — Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
Accessibility Findings — Numeric Interval Filter + 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 2026-10-23).
Filters accessibility findings records by a numeric interval on a chosen field and computes a weighted mean of the secondary measure, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Accessibility findings — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + 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
Two independent analytical reports: (1) the subset of input rows whose selected field value falls within the specified [minimum, maximum] numeric interval, and (2) the secondary-measure weighted mean computed over those filtered rows. Results are derived entirely from the supplied data using local analytical engines — no external lookups or predictions are made.
Example use cases
Accessibility audit range analysis
“I've got a list of accessibility findings by game area with dates and resolved counts — filter them where 'findings' is between 5 and 50, then compute the weighted mean of 'resolved_findings' and return both reports. Here are my rows: row-1 group-a 2026-10-01 findings=10 resolved=1, row-2 group-b 2026-10-02 findings=20 resolved=2.”
Resolved findings weighted average by interval
“Can you take my accessibility dataset of 6 rows and filter only those where 'resolved_findings' falls between 2 and 10, then calculate the weighted mean of the secondary measure 'findings'? I want both output reports.”
Game area accessibility data summary
“Here are 8 accessibility records for our game areas from Q4 2026 with findings and resolved_findings values — please filter using the 'findings' field with a minimum of 0 and maximum of 100, compute the weighted mean of resolved_findings, and return the two analytical reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-17-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of accessibility findings data (with findings and resolved_findings numeric columns) and need to both restrict the analysis to a numeric interval and compute a weighted mean of the complementary measure — all in a single call returning two reports. It is particularly useful for game accessibility audits or iterative QA workflows where you supply your own data and want fast, offline-style analytical results without any external data dependencies.
Side effects
- Empty rows array or rows exceeding 200 items returns a validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Minimum greater than maximum produces an empty filtered set or error
- Null values in findings or resolved_findings may be excluded from weighted mean calculation
- Invalid field enum value (not 'findings' or 'resolved_findings') causes a parameter error
- Missing required row fields (row_id, game_area, date) results in row-level validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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