{"uid":"cap_e5fe7GUCyAiV9odNAO3GE","slug":"accessibility-findings-string-normalisation-numeric-row-ordering-3f2bd7b0","name":"Accessibility Findings — String Normalisation + Numeric Row Ordering","description":"Accessibility findings — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-17-025?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_XOYe1IycJW7SgB19j1eQ-","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":"Normalises string fields and applies numeric row ordering to accessibility findings records (findings and resolved_findings) for up to 200 rows, producing 2 independent analytical reports.","exampleAgentPrompt":"Can you normalise the string fields and sort these accessibility findings rows numerically by 'findings'? I have 4 rows: row-1 on 2026-10-01 in group-a with 10 findings and 1 resolved, row-2 on 2026-10-02 in group-b with 20 findings and 2 resolved, row-3 on 2026-10-03 in group-a with 15 findings and 3 resolved, and row-4 on 2026-10-04 in group-b with 30 findings and 4 resolved — give me both reports.","exampleUseCases":[{"title":"Game accessibility audit cleanup","prompt":"I've got a table of accessibility findings across different game areas — can you normalise the text fields and rank the rows by their findings count so I can see which areas have the most issues? Here are my rows: row-1, 2026-10-01, group-a, 10 findings, 1 resolved; row-2, 2026-10-02, group-b, 20 findings, 2 resolved."},{"title":"Resolved findings progress ranking","prompt":"Can you sort my accessibility records by resolved_findings numerically and normalise the string columns? I want to see which game areas have cleared the most issues. Rows: row-1 on 2026-10-01 group-a 10 findings 1 resolved, row-2 on 2026-10-02 group-b 20 findings 2 resolved, row-3 on 2026-10-03 group-a 15 findings 3 resolved."},{"title":"Sprint accessibility data standardisation","prompt":"Please run string normalisation and numeric row ordering on our sprint accessibility data — field to order by is 'findings'. We have entries for row-1 through row-4 dated 2026-10-01 to 2026-10-04 across group-a and group-b with findings ranging from 10 to 30 and resolved from 1 to 4."}],"resultDescription":"Two analytical reports per call: one applying string normalisation to the game_area and related string fields across all supplied rows, and one ordering rows numerically by the selected field (findings or resolved_findings). Each report covers up to 200 input rows. No external data is fetched; all analysis uses local engines on the supplied data.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","Missing required fields (row_id, game_area, date, findings, resolved_findings) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","field enum value not 'findings' or 'resolved_findings' — rejection","Numeric values outside ±1,000,000,000,000 range — schema error","Malformed JSON body — parse error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local string normalisation combined with numeric ordering on accessibility findings data (up to 200 rows) and want two bundled reports for $0.01 USDC without any external lookup or live data dependency. Prefer it over general-purpose analytics when your data specifically tracks findings and resolved_findings across game areas with dated rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:58.702Z","isFirstParty":false,"canonicalSlug":"accessibility-findings-string-normalisation-numeric-row-ordering-3f2bd7b0"}