{"uid":"cap_mbASbY063GKzPc4bHt5DE","slug":"ticket-escalations-string-normalisation-cd351fde","name":"Ticket Escalations – String Normalisation","description":"Ticket escalations - String normalisation: String normalisation for Ticket escalations. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded string normalisation report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-ticket-escalations-normalise?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team","date","tickets","escalations"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"team":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"tickets":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"escalations":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","team":"group-a","row_id":"row-1","tickets":10,"escalations":1},{"date":"2026-10-02","team":"group-b","row_id":"row-2","tickets":20,"escalations":2},{"date":"2026-10-03","team":"group-a","row_id":"row-3","tickets":15,"escalations":3},{"date":"2026-10-04","team":"group-b","row_id":"row-4","tickets":30,"escalations":4}],"maxItems":200,"minItems":1}}},"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_MA-ebh161HIzPA4Sl5q_3","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 (team names, dates, labels) across up to 200 ticket escalation records and returns a bounded descriptive analytics report.","exampleAgentPrompt":"Can you normalise the string fields in my ticket escalation data? I have rows for team 'group-a' and 'group-b' with dates like 2026-10-01 through 2026-10-04, ticket counts, and escalation counts — up to 4 rows — and I need a clean string normalisation report back.","exampleUseCases":[{"title":"Standardising support team name labels","prompt":"I've got 50 rows of ticket escalation data where the team field has inconsistent capitalisation and spacing — like 'Group A', 'group-a', 'GROUP A'. Can you normalise those strings and give me a report showing the cleaned values alongside the original row IDs and dates?"},{"title":"Pre-processing escalation data for a dashboard","prompt":"Before I load our weekly escalation data into the dashboard, I need the string fields cleaned up — team names and dates standardised across about 120 rows, each with a row ID, ticket count, and escalation count. Can you run the string normalisation and send me the report?"},{"title":"Auditing messy team labels in escalation exports","prompt":"We exported escalation records from three different systems and the team names are all over the place. I have around 80 rows with row IDs, dates in YYYY-MM-DD format, ticket volumes, and escalation numbers. Can you normalise the strings and flag anything that looks inconsistent?"}],"resultDescription":"A bounded string normalisation report covering the submitted ticket escalation records (up to 200 rows), including standardised and cleaned string values for fields such as team names and dates, plus local descriptive analytics. No external enrichment or forecasting is included.","failureModes":["Fewer than 1 row submitted — minimum item count violated","More than 200 rows submitted — maxItems constraint exceeded","Missing required fields (row_id, team, date, tickets, escalations) on any row","Date field does not match YYYY-MM-DD pattern — validation error","Numeric fields (tickets, escalations) out of allowed range","Payment of 0.01 USDC not completed — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have raw ticket escalation records with inconsistent or dirty string fields (team names, date formats) and need a fast, cheap ($0.01 USDC) normalisation pass with a descriptive analytics report, without requiring any enrichment, forecasting, or external data lookups. Ideal for pre-processing pipelines before loading data into dashboards or analytics tools.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-13T00:42:10.182Z","isFirstParty":false,"canonicalSlug":"ticket-escalations-string-normalisation-cd351fde"}