{"uid":"cap_is2ypZm8xaOu3ihUZAZ3q","slug":"ticket-escalations-exact-row-deduplication-c8e5b261","name":"Ticket Escalations – Exact Row Deduplication","description":"Ticket escalations - Exact row deduplication: Exact row deduplication 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 exact row deduplication report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-ticket-escalations-deduplicate?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_Xk8OCKUnw5KYl3o-4RLV9","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":"Identifies and removes exact duplicate rows from ticket escalation datasets (up to 200 records) and returns a deduplication report.","exampleAgentPrompt":"Can you deduplicate these ticket escalation records for me? I have rows for teams like 'support-east' and 'support-west' with dates and ticket/escalation counts — some rows may be exact duplicates and I need a clean dataset.","exampleUseCases":[{"title":"Pre-analysis data cleaning for escalation reports","prompt":"Before I run my weekly escalation trend analysis, can you deduplicate these ticket escalation rows? I have about 80 records across teams 'tier-1' and 'tier-2' from the past month and I suspect some were double-logged."},{"title":"ETL pipeline deduplication step","prompt":"My data pipeline pulled escalation records from two systems and merged them — I need you to find and remove any exact duplicate rows from this set of 150 ticket escalation entries across teams 'emea', 'apac', and 'amer' before we load to the warehouse."},{"title":"Audit of support team data integrity","prompt":"Can you check these 60 ticket escalation records for exact duplicates? Our team 'frontline-support' has been reporting counts daily and I think some dates got submitted twice — I need a deduplication report to know what's clean."}],"resultDescription":"A bounded deduplication report identifying which of the supplied ticket escalation rows are exact duplicates, along with the deduplicated set of unique rows. Covers up to 200 input records and provides local descriptive analytics with no enrichment or forecasting.","failureModes":["Fewer than 1 row supplied returns a validation error","More than 200 rows supplied exceeds the maxItems limit and will be rejected","Rows missing required fields (row_id, team, date, tickets, escalations) will fail schema validation","Invalid date format (not YYYY-MM-DD) will cause a validation error","row_id values exceeding 80 characters will be rejected","Payment of 0.01 USDC not included or failed will result in a 402 response"],"whenToPreferThis":"Choose this endpoint when you need fast, local exact-row deduplication on structured ticket escalation data (up to 200 rows) without needing enrichment or forecasting. Ideal for pre-processing steps in ETL pipelines, data integrity audits, or cleaning support team escalation logs before analysis. Best suited when duplicates are expected to be byte-for-byte identical across all fields rather than fuzzy or near-duplicates.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:23.897Z","isFirstParty":false,"canonicalSlug":"ticket-escalations-exact-row-deduplication-c8e5b261"}