{"uid":"cap_mKTwcy2FQhHpmwIX2AELs","slug":"ticket-escalations-equal-width-histogram-639780a9","name":"Ticket Escalations Equal-Width Histogram","description":"Ticket escalations - Equal-width histogram: Equal-width histogram 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 equal-width histogram report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-ticket-escalations-histogram?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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"}}},"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_AELHp56KUKvvb0YsK9yUk","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 local equal-width histogram for ticket escalations or ticket-count data across up to 200 user-supplied records, returning a descriptive frequency distribution report.","exampleAgentPrompt":"Run an equal-width histogram on my ticket escalation data — I have 50 records with team, date, tickets, and escalations columns — use 10 bins and analyze the escalations field.","exampleUseCases":[{"title":"Support team escalation spike analysis","prompt":"I have 120 daily records from our support teams with ticket counts and escalation counts — can you bin the escalations field into 8 equal-width buckets so I can see where most escalations cluster?"},{"title":"Ticket volume distribution for capacity planning","prompt":"Take these 80 support records with ticket and escalation columns and build a 5-bin equal-width histogram on the tickets field — I want to understand our ticket volume distribution across the range."},{"title":"Multi-team escalation pattern comparison","prompt":"Here are 200 rows of support data from groups A through D with date, tickets, and escalations — give me a 15-bin equal-width histogram on the escalations field so I can see the frequency distribution."}],"resultDescription":"A bounded equal-width histogram report containing bin edges, bin widths, and the count of records falling into each bin for the selected field (tickets or escalations), computed locally from the supplied records with no external enrichment or forecasting.","failureModes":["Invalid date format (must be YYYY-MM-DD) returns validation error","More than 200 rows submitted exceeds maxItems limit","Zero rows submitted fails minItems constraint","bins value outside 1–30 range rejected","Missing required fields (row_id, team, date, tickets, escalations) cause schema validation failure","Null values in selected field may affect bin edge calculation"],"whenToPreferThis":"Choose this endpoint when you have raw ticket or escalation records (up to 200) and need a fast, local equal-width frequency distribution with no external data dependencies. Ideal for descriptive analytics, quick distribution checks, or pre-analysis data profiling of support team data without needing forecasting or enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:08:09.584Z","isFirstParty":false,"canonicalSlug":"ticket-escalations-equal-width-histogram-639780a9"}