{"uid":"cap_rc-c_YOsUw29ve-lKRuih","slug":"internal-support-numeric-distribution-and-adjacent-row-changes-4e7e5e85","name":"Internal Support Numeric Distribution and Adjacent Row Changes","description":"Internal support — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes for supplied internal support records (responded_requests, received_requests). 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-22-077?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","responded_requests","received_requests"],"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},"received_requests":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"responded_requests":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","received_requests":1,"responded_requests":10},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","received_requests":2,"responded_requests":20},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","received_requests":3,"responded_requests":15},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","received_requests":4,"responded_requests":30}],"maxItems":200,"minItems":1},"field":{"enum":["responded_requests","received_requests"],"type":"string","default":"responded_requests"}}},"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_HY2nM8GXoNWsThgqoRV7W","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 internal support request data (responded_requests, received_requests) by producing a numeric distribution report and an adjacent-row change report for up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and adjacent row changes analysis on our support data — I'll supply rows with row_id, team_group, date, received_requests, and responded_requests (up to 200 rows) and I want the analysis focused on the responded_requests field?","exampleUseCases":[{"title":"Daily support workload trend analysis","prompt":"Here's our support team's daily data for October — row IDs, team groups, dates, and both received and responded request counts for about 150 rows. Can you give me a numeric distribution report and show me how responded_requests changed between adjacent days?"},{"title":"Team group response rate distribution","prompt":"I have 80 rows of internal support records broken down by team group with date, received_requests, and responded_requests. Run the numeric distribution and adjacent row changes reports on the received_requests field so I can see how intake volume is spread and shifting day over day."},{"title":"Support backlog change detection","prompt":"Can you analyze these 60 support log rows — each has a row_id, team_group, date, responded_requests, and received_requests — and tell me the distribution of responded_requests values plus how they changed between consecutive rows?"}],"resultDescription":"Returns two analytical reports for the supplied data: (1) a numeric distribution report showing statistical spread of the selected field (e.g. min, max, percentiles, frequency buckets), and (2) an adjacent row changes report showing the delta between consecutive rows for the selected field, covering up to 200 input rows.","failureModes":["More than 200 rows supplied — request rejected or truncated","Missing required row fields (row_id, team_group, date, responded_requests, received_requests) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejection","Invalid field enum value (must be 'responded_requests' or 'received_requests') — error response","Empty rows array — no analysis possible"],"whenToPreferThis":"Choose this endpoint when you have internal support request records (responded vs received) and need both a statistical distribution and a consecutive-row change analysis in a single low-cost call. It is ideal for batch offline analysis of helpdesk or support team data without needing a live data connection, prediction, or external lookup. Best suited for up to 200 rows of structured daily support metrics per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:34:09.745Z","isFirstParty":false,"canonicalSlug":"internal-support-numeric-distribution-and-adjacent-row-changes-4e7e5e85"}