{"uid":"cap_avnjuv_6RwmS2Jk-aAxCk","slug":"accessibility-findings-string-normalisation-trailing-mean-series-fbe0acf4","name":"Accessibility Findings — String Normalisation + Trailing Mean Series","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-game-17-028?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","findings","resolved_findings"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"findings":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"game_area":{"type":"string","default":"","maxLength":80},"resolved_findings":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","findings":10,"game_area":"group-a","resolved_findings":1},{"date":"2026-10-02","row_id":"row-2","findings":20,"game_area":"group-b","resolved_findings":2},{"date":"2026-10-03","row_id":"row-3","findings":15,"game_area":"group-a","resolved_findings":3},{"date":"2026-10-04","row_id":"row-4","findings":30,"game_area":"group-b","resolved_findings":4}],"maxItems":200,"minItems":1},"field":{"enum":["findings","resolved_findings"],"type":"string","default":"findings"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_QBxxwDhIbRC73kA7sSpqj","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs two local analytical reports on accessibility findings data: string normalisation and trailing mean series, for up to 200 rows.","exampleAgentPrompt":"Can you run string normalisation and a trailing mean series (window size 3) on my accessibility findings data — I have rows with date, game_area, findings, and resolved_findings fields, and I want the analysis on the findings column?","exampleUseCases":[{"title":"Smooth accessibility findings trend over time","prompt":"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?"},{"title":"Normalise game area strings in audit records","prompt":"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?"},{"title":"Track resolved findings with rolling average","prompt":"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?"}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:17.345Z","isFirstParty":false,"canonicalSlug":"accessibility-findings-string-normalisation-trailing-mean-series-fbe0acf4"}