{"uid":"cap_mgN_OnFM1RPVWyLhTTuSR","slug":"process-handoffs-numeric-row-ordering-explicit-missing-value-fill-830ef583","name":"Process Handoffs — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Process handoffs — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill 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-18-124?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_bYoAOuyPF6B_p0HiydXCc","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":"Sorts process handoff records by numeric value and fills missing handoff_count or wait_minutes values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of process handoff records with team_group, date, handoff_count, and wait_minutes columns — can you sort them numerically and fill any missing handoff_count values using median imputation, then give me the two reports?","exampleUseCases":[{"title":"Clean handoff data before dashboard load","prompt":"I have 150 rows of daily handoff records across group-a and group-b with some missing wait_minutes values — fill those blanks using mean imputation, sort the rows numerically by wait_minutes, and give me the two reports."},{"title":"Zero-fill missing counts for compliance audit","prompt":"Our compliance team needs all handoff_count nulls replaced with zero and the rows ordered numerically — can you process these 80 handoff records and produce the two standard reports?"},{"title":"Median imputation for team performance review","prompt":"Before our quarterly review I need to clean up this handoff dataset of about 60 rows: fill any missing handoff_count values using the median and sort everything numerically so the reports are ready."}],"resultDescription":"Returns two analytical reports covering the supplied process handoff records: one showing numerically ordered rows and one showing the specified field (handoff_count or wait_minutes) with missing values explicitly filled using the chosen method (zero, mean, or median). Reports are generated locally without external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Invalid date format (must match YYYY-MM-DD pattern)","Missing required fields (row_id, team_group, date) on any row — validation error","Unsupported fill method specified (must be zero, mean, or median)","Invalid field name specified (must be handoff_count or wait_minutes)","Payment not received or insufficient USDC balance — 402 response"],"whenToPreferThis":"Choose this endpoint when you need deterministic, offline numeric ordering and missing-value imputation for process handoff records (handoff_count, wait_minutes) without any live data lookup, prediction, or external API calls. It is ideal for pre-processing up to 200 rows of team handoff data before loading into dashboards or audit reports, and when you need two structured reports in a single low-cost call ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:41.006Z","isFirstParty":false,"canonicalSlug":"process-handoffs-numeric-row-ordering-explicit-missing-value-fill-830ef583"}