{"uid":"cap_EBkajbm8WduAdElJMBhMo","slug":"accessibility-findings-record-quality-audit-string-normalisation-c3e99340","name":"Accessibility Findings — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean","description":"Accessibility findings — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied accessibility findings records (findings, resolved_findings). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-game-17-205?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"}}},"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_Gu47818-JpxEtE7ybsffe","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 three local analytical reports on accessibility findings data: record quality audit, string normalisation, and secondary-measure weighted mean for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and weighted mean report on these accessibility findings rows — I have up to 50 records with findings and resolved_findings counts, grouped by game area and dated this month, and I want to analyse the 'findings' field?","exampleUseCases":[{"title":"Audit accessibility findings data quality","prompt":"I have a batch of 80 accessibility findings records with dates, game areas, and counts of findings and resolved findings — can you run a record quality audit on them so I can spot missing values or bad rows before I report on them?"},{"title":"Normalise game area strings in findings dataset","prompt":"My accessibility dataset has inconsistent capitalisation and whitespace in the game_area field across 120 rows — can you run string normalisation on the findings and resolved_findings records to clean them up?"},{"title":"Compute weighted mean of resolved findings","prompt":"I've got 150 rows of accessibility findings data broken down by game area and date — can you compute a secondary-measure weighted mean on the resolved_findings field so I can see which areas are performing best on a weighted basis?"}],"resultDescription":"Three analytical reports for the submitted accessibility findings rows: (1) a record quality audit flagging data issues, (2) normalised string output for text fields, and (3) a weighted mean calculation for the selected secondary measure (findings or resolved_findings). All computed locally with no external lookups, covering up to 200 input rows.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, game_area, date, findings, resolved_findings) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Numeric values out of allowed range (±1,000,000,000,000) — rejection","Invalid field enum value (must be 'findings' or 'resolved_findings') — error","Payment of 0.01 USDC not provided — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations — record quality audit, string normalisation, and weighted mean — on accessibility findings data in a single low-cost call. It is best suited for batch offline analysis of up to 200 rows where no live data lookup, prediction, or external action is needed. Prefer it over single-operation endpoints when you want all three reports for the price of one call ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:40.693Z","isFirstParty":false,"canonicalSlug":"accessibility-findings-record-quality-audit-string-normalisation-c3e99340"}