{"uid":"cap_DZu8yMvRsJ5RdjuiJF6vs","slug":"ticket-escalations-base-100-index-series-42935994","name":"Ticket Escalations Base-100 Index Series","description":"Ticket escalations - Base-100 series: Base-100 series 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 base-100 series report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-ticket-escalations-index?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},"field":{"enum":["tickets","escalations"],"type":"string","default":"tickets"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_VHYcxWnoDLAJOqgRcl1qi","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":"Computes a base-100 indexed series for ticket escalation or ticket volume data across teams and dates, enabling local descriptive analytics.","exampleAgentPrompt":"Run a base-100 index series on my ticket escalation data — I have rows for teams Alpha and Beta from 2025-01-01 to 2025-01-04 with ticket counts and escalation counts, using row 0 as the base index, and I want the series indexed on the escalations field.","exampleUseCases":[{"title":"Support team escalation rate comparison","prompt":"I have daily ticket and escalation counts for three support teams over the past month — can you normalize the escalation field to a base-100 series starting from the first row so I can compare how each team's escalation rate has changed relative to that baseline?"},{"title":"Rebasing ticket volume to a launch date","prompt":"We launched a new support process on 2025-03-01 and I want to index our ticket volumes to that date as 100 — can you run a base-100 series on the tickets field with row 0 as the base index so we can see how volume has grown since launch?"},{"title":"Weekly escalation index report for a single team","prompt":"Here are 50 daily records for our enterprise support team with ticket and escalation counts — please generate a base-100 descriptive analytics report on the escalations field, using the first record as the baseline, so I can see the relative weekly trend without any forecasting."}],"resultDescription":"Returns a bounded base-100 index series report for up to 200 input records, with each data point expressed as an index value relative to the selected base row. The report covers the chosen field (tickets or escalations) and provides local descriptive analytics without enrichment or forecasting.","failureModes":["Empty rows array or missing required fields (row_id, team, date, tickets, escalations) causes validation error","base_index value out of range (>=number of rows supplied) causes an index error","Date strings not matching YYYY-MM-DD format rejected by schema pattern validation","More than 200 rows supplied exceeds maxItems limit and is rejected","Null values in the selected index field may produce gaps or nulls in the output series"],"whenToPreferThis":"Choose this endpoint when you need a fast, low-cost ($0.01 USDC) descriptive normalization of ticket or escalation count data to a common baseline index, without requiring forecasting, enrichment, or external data. Ideal for comparing relative changes across support teams or time periods using a simple base-100 reference frame on up to 200 rows of local data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T18:48:34.466Z","isFirstParty":false,"canonicalSlug":"ticket-escalations-base-100-index-series-42935994"}