{"uid":"cap_bnLUlVCqatPIC5OYCE24I","slug":"accessibility-observations-string-normalisation-date-by-category-pivot-eecbe700","name":"Accessibility Observations — String Normalisation + Date by Category Pivot","description":"Accessibility observations — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied accessibility observations records (checked_elements, flagged_elements). 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-web-16-035?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","checked_elements","flagged_elements"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"site_group":{"type":"string","default":"","maxLength":80},"checked_elements":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"flagged_elements":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","checked_elements":10,"flagged_elements":1},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","checked_elements":20,"flagged_elements":2},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","checked_elements":15,"flagged_elements":3},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","checked_elements":30,"flagged_elements":4}],"maxItems":200,"minItems":1},"field":{"enum":["checked_elements","flagged_elements"],"type":"string","default":"checked_elements"}}},"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_T9Q4MiJPECjVa-qQOrP-x","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 strings and produces a date-by-category pivot table for accessibility observation records (checked_elements, flagged_elements) across up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Normalise the site group strings and produce a date-by-category pivot for my accessibility scan data — I have 4 rows with site groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want the pivot built around the checked_elements field.","exampleUseCases":[{"title":"Weekly accessibility audit pivot","prompt":"I have 50 rows of weekly accessibility scan results with site groups and dates — can you normalise the site group labels and give me a date-by-category pivot on the flagged_elements field so I can see which groups are trending worse?"},{"title":"Multi-site checked elements summary","prompt":"Clean up the site_group strings in my accessibility data and pivot the checked_elements counts by date and category — here are 120 rows covering three site groups over the past quarter."},{"title":"Accessibility compliance trend report","prompt":"Take these 30 accessibility observation records across two site groups and run string normalisation plus a date pivot on flagged_elements so I can spot which dates and groups had the most accessibility issues."}],"resultDescription":"Returns two analytical reports: (1) a string-normalised view of the site_group labels across all supplied rows, and (2) a date-by-category pivot table aggregating the selected field (checked_elements or flagged_elements) broken down by date and site_group — all computed locally without external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, site_group) cause row-level rejection","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Null values in the selected numeric field may produce incomplete pivot cells","Submitting an invalid field enum value (not checked_elements or flagged_elements) returns a schema error"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation of categorical labels and a date-by-category pivot in a single call on accessibility observation data (checked_elements, flagged_elements) for up to 200 rows. It is ideal when you want two analytical reports cheaply ($0.01 USDC) without any live lookup, external prediction, or professional assessment — purely local analytical computation on your supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:37.138Z","isFirstParty":false,"canonicalSlug":"accessibility-observations-string-normalisation-date-by-category-pivot-eecbe700"}