{"uid":"cap_qRmsVouvuoIOEY3iw9lYX","slug":"internal-support-string-normalisation-date-by-category-pivot-0978a940","name":"Internal Support — String Normalisation + Date by Category Pivot","description":"Internal support — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied internal support records (responded_requests, received_requests). 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-operations-22-035?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","responded_requests","received_requests"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"team_group":{"type":"string","default":"","maxLength":80},"received_requests":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"responded_requests":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","received_requests":1,"responded_requests":10},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","received_requests":2,"responded_requests":20},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","received_requests":3,"responded_requests":15},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","received_requests":4,"responded_requests":30}],"maxItems":200,"minItems":1},"field":{"enum":["responded_requests","received_requests"],"type":"string","default":"responded_requests"}}},"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_J2P1vFtRFE7X7YNgB3SRQ","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 internal support records: string normalisation of team/group labels and a date-by-category pivot for responded_requests or received_requests, up to 200 rows.","exampleAgentPrompt":"I have 150 rows of internal support data with team groups and dates — can you run both the string normalisation and the date-by-category pivot on the responded_requests field for me?","exampleUseCases":[{"title":"Weekly support team performance pivot","prompt":"I've got 80 rows of last week's support records with team names and daily responded_requests counts — normalize the team group strings and give me a pivot table by date and category."},{"title":"Received requests trend by group","prompt":"Can you process these 120 support rows and generate the date-by-category pivot for received_requests, plus clean up the team_group labels so they're consistent?"},{"title":"Monthly support data cleanup and summary","prompt":"Here are 200 rows of monthly internal support data across multiple team groups — run the string normalisation and the date pivot on responded_requests so I can see which teams handled the most requests each day."}],"resultDescription":"Two analytical reports derived from the supplied rows: (1) a string-normalised version of team/group label fields, and (2) a date-by-category pivot table showing the selected metric (responded_requests or received_requests) aggregated by date and team_group, covering up to 200 input rows.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, team_group, date, responded_requests, received_requests) — validation error","Invalid date format (not YYYY-MM-DD pattern) — schema validation failure","Invalid field enum value (must be responded_requests or received_requests) — error","Empty rows array — minimum 1 item required","Numeric values outside allowed range — validation error"],"whenToPreferThis":"Choose this endpoint when you have internal support records (up to 200 rows) and need both string normalisation of team/group labels AND a date-by-category pivot in a single low-cost call. It is ideal for lightweight, offline analytical processing of structured support data without needing external lookups, predictions, or live data sources. At $0.01 USDC for two reports, it is cost-effective for routine support analytics pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:30.025Z","isFirstParty":false,"canonicalSlug":"internal-support-string-normalisation-date-by-category-pivot-0978a940"}