{"uid":"cap_oAUgK82bhxkojsBHlGMM_","slug":"ticket-escalations-numeric-interval-filter-fd57ae6c","name":"Ticket Escalations Numeric Interval Filter","description":"Ticket escalations - Numeric interval filter: Numeric interval filter 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 numeric interval filter report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-ticket-escalations-range-filter?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_NRzEBFksqn_GoMoBcYcti","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":"Filters ticket escalation records to only those rows where a chosen numeric field (tickets or escalations) falls within a specified min–max range, returning up to 200 matched records.","exampleAgentPrompt":"Filter my ticket escalation records and return only the rows where the 'escalations' field is between 2 and 8 — here are my records: row-1 (team group-a, 2026-10-01, tickets 10, escalations 1), row-2 (team group-b, 2026-10-02, tickets 20, escalations 5), row-3 (team group-a, 2026-10-03, tickets 15, escalations 9).","exampleUseCases":[{"title":"Identify high-escalation days for a team","prompt":"Look at these daily escalation records for my support teams and filter them to only show rows where the escalations field is between 3 and 15 — I want to identify which days had unusually high escalations."},{"title":"Threshold filter for ticket volume reporting","prompt":"I have 50 rows of ticket data across teams; filter them down to just the rows where 'tickets' is between 20 and 100 so I can focus my weekly report on moderate-volume days."},{"title":"Audit low-escalation performance windows","prompt":"From my escalation log, show me only the rows where escalations are between 0 and 2 — I need to identify the periods where my team was performing within acceptable escalation limits."}],"resultDescription":"A filtered subset of the supplied ticket escalation rows where the chosen field (tickets or escalations) falls within the specified minimum and maximum bounds. Each result row includes row_id, team, date, tickets, and escalations. This is a local descriptive analytics result with no enrichment or forecasting.","failureModes":["Empty result set if no rows match the specified numeric interval","Validation error if minimum exceeds maximum","Row count exceeding 200 items rejected","Invalid date format (non-YYYY-MM-DD) causes schema validation failure","Missing required fields (row_id, team, date, tickets, escalations) cause rejection","Invalid field enum value (anything other than 'tickets' or 'escalations') returns error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 ticket escalation records already in hand and need to quickly filter them to a bounded numeric interval on either the tickets or escalations field. It is ideal for local, descriptive analytics without needing enrichment, forecasting, or external data lookup. Prefer this over general-purpose filtering tools when your data matches the ticket/escalation schema exactly and you want a cheap ($0.01 USDC), purpose-built range filter.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:46:35.161Z","isFirstParty":false,"canonicalSlug":"ticket-escalations-numeric-interval-filter-fd57ae6c"}