{"uid":"cap_7zH09drKAW3sxOt7Uablu","slug":"creative-review-string-normalisation-date-by-category-pivot-1417ff7f","name":"Creative Review — String Normalisation + Date by Category Pivot","description":"Creative review — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied creative review records (feedback_count, approved_items). 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-creative-25-035?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","feedback_count","approved_items"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"approved_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"feedback_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","approved_items":1,"feedback_count":10},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","approved_items":2,"feedback_count":20},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","approved_items":3,"feedback_count":15},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","approved_items":4,"feedback_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["feedback_count","approved_items"],"type":"string","default":"feedback_count"}}},"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_HuSlFhaWO3aaHbJ7sM0To","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 creative review data: string normalisation and a date-by-category pivot, for up to 200 rows of feedback and approval metrics.","exampleAgentPrompt":"I have creative review records with asset groups, dates, feedback counts, and approved items — can you run string normalisation and a date-by-category pivot on them? I'll send up to 50 rows and want to pivot on feedback_count.","exampleUseCases":[{"title":"Creative campaign feedback pivot","prompt":"I have 80 rows of creative review data with asset groups like 'group-a' and 'group-b', dates from last quarter, and feedback counts — can you normalize the string fields and pivot the feedback_count by date and category so I can see trends?"},{"title":"Approval rate summary by asset group","prompt":"Run string normalisation and a date-by-category pivot on my creative review records — I have about 120 rows with asset groups, dates, and approved_items counts that I want broken down cleanly."},{"title":"Ad creative review data cleanup","prompt":"I need to clean up and pivot my creative review dataset — 30 rows covering asset groups and dates, and I want to analyze the approved_items field with a date-by-category pivot and string normalisation on the text fields."}],"resultDescription":"Two analytical reports computed locally on the supplied data: (1) a string normalisation report standardising text fields like asset_group across rows, and (2) a date-by-category pivot table summarising the selected numeric field (feedback_count or approved_items) broken down by date and asset group. No external data is fetched.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds limit","Invalid date format (must be YYYY-MM-DD) — validation error","Missing required fields (row_id, asset_group, date, feedback_count, approved_items) — schema error","Field enum value not in ['feedback_count','approved_items'] — invalid field error","Null numeric values across all rows — pivot may produce empty or degenerate output"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a date-by-category pivot on creative review records (feedback counts, approved items) in a single low-cost call, without any external lookups, predictions, or live data. Ideal for small-to-medium datasets (up to 200 rows) where local, deterministic analytical processing is sufficient and data privacy matters.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:48.274Z","isFirstParty":false,"canonicalSlug":"creative-review-string-normalisation-date-by-category-pivot-1417ff7f"}