{"uid":"cap_BTsBkmsrA9shZR0Br-rFe","slug":"process-handoffs-category-frequencies-adjacent-row-changes-d8be27d9","name":"Process Handoffs — Category Frequencies + Adjacent Row Changes","description":"Process handoffs — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes for supplied process handoffs records (handoff_count, wait_minutes). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-operations-18-104?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","handoff_count","wait_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"team_group":{"type":"string","default":"","maxLength":80},"wait_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"handoff_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","wait_minutes":1,"handoff_count":10},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","wait_minutes":2,"handoff_count":20},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","wait_minutes":3,"handoff_count":15},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","wait_minutes":4,"handoff_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["handoff_count","wait_minutes"],"type":"string","default":"handoff_count"}}},"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_mOOSSGLDibQy81aQAt82w","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":"Analyzes process handoff records by computing category frequencies and adjacent row changes for handoff_count or wait_minutes across up to 200 rows.","exampleAgentPrompt":"Can you run a category frequency and adjacent row changes analysis on my process handoff data? I have records for team-a and team-b from 2026-10-01 through 2026-10-04 with handoff_count values of 10, 20, 15, and 30 — analyze the handoff_count field.","exampleUseCases":[{"title":"Team handoff frequency audit","prompt":"I have daily handoff records for two teams over the past week with handoff_count and wait_minutes. Can you tell me how often each team group appears and how handoff counts change between consecutive rows? The field I care about is handoff_count."},{"title":"Wait time trend detection","prompt":"Can you analyze adjacent row changes in wait_minutes for my process handoff dataset? I have about 50 rows with team_group, date, handoff_count, and wait_minutes — I want to see how wait times shift from one row to the next."},{"title":"Cross-team handoff distribution report","prompt":"I need a category frequency breakdown and a row-to-row change report for handoff_count across my 120 process handoff records spanning three team groups over the last quarter. Can you run both reports at once?"}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each team_group value appears in the dataset, and (2) an adjacent row change report showing how the selected numeric field (handoff_count or wait_minutes) changes between consecutive rows — all computed locally without external lookups or predictions.","failureModes":["Rows array empty or missing — validation error requiring at least 1 row","More than 200 rows submitted — rejected with max items exceeded error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field value not in enum ['handoff_count','wait_minutes'] — rejected","Null numeric values may affect adjacent change calculations","Missing required fields (row_id, team_group, date) — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have process handoff tabular data (up to 200 rows) and need both a category frequency breakdown by team_group and a sequential change analysis for a numeric field in a single low-cost call. It is ideal for operational analytics on handoff counts or wait times without needing external data sources, predictions, or live lookups. Prefer it over general-purpose analytics tools when cost predictability ($0.01 USDC for both reports) and simplicity matter.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:46:54.708Z","isFirstParty":false,"canonicalSlug":"process-handoffs-category-frequencies-adjacent-row-changes-d8be27d9"}