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Accessibility Findings — String Normalisation + Trailing Mean Series
x402
Accessibility Findings — String Normalisation + Trailing Mean Series 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).
Runs two local analytical reports on accessibility findings data: string normalisation and trailing mean series, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Accessibility findings — String normalisation + Trailing mean series: String normalisation + Trailing mean series 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 analytical reports: (1) a string normalisation report cleaning text fields in the supplied accessibility findings records, and (2) a trailing mean series report computing rolling averages over the chosen numeric field (findings or resolved_findings) with the specified window size — all computed locally on the supplied data, no external lookups.
Example use cases
Smooth accessibility findings trend over time
“I have 50 rows of daily accessibility findings data with dates and game areas. Can you compute a trailing mean series with a window of 5 on the findings column so I can see the smoothed trend?”
Normalise game area strings in audit records
“My accessibility audit records have messy game_area strings. Can you run string normalisation on these rows so the labels are cleaned up — here are about 80 rows with row_id, date, findings, and resolved_findings?”
Track resolved findings with rolling average
“I want to analyse how resolved_findings are trending over the past quarter. Can you run the trailing mean series with window size 4 on my resolved_findings column across these 120 audit rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-17-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously clean/normalise string fields and compute a rolling/trailing mean on numeric accessibility findings data in a single low-cost call. Ideal for accessibility audit workflows where you have up to 200 rows and want both text normalisation and time-series smoothing without live lookups or external data dependencies.
Side effects
- Fewer than 1 row supplied — minItems violation
- More than 200 rows supplied — maxItems violation
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Window size outside 2–200 range — schema validation error
- field value not in enum ['findings','resolved_findings'] — enum validation error
- Missing required fields (row_id, game_area, date) — required field error
- Numeric values outside ±1,000,000,000,000 — range validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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