{"uid":"cap_4L7ZO_OXXFNuX8C4U_NBM","slug":"partnership-pipeline-numeric-row-ordering-explicit-missing-value-fill-3d3fa9e8","name":"Partnership Pipeline — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Partnership pipeline — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied partnership pipeline records (qualified_partners, active_partners). 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-company-09-124?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","qualified_partners","active_partners"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"active_partners":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"qualified_partners":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","active_partners":1,"qualified_partners":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","active_partners":2,"qualified_partners":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","active_partners":3,"qualified_partners":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","active_partners":4,"qualified_partners":30}],"maxItems":200,"minItems":1},"field":{"enum":["qualified_partners","active_partners"],"type":"string","default":"qualified_partners"},"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_UcrnkL5yu0A96lzajo3AQ","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 partnership pipeline rows numerically by date and fills missing values (qualified_partners or active_partners) using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"Take my partnership pipeline records for group-a and group-b (dates 2026-10-01 through 2026-10-04), sort them by date, and fill any missing qualified_partners values using the median method — I need the two analytical reports back.","exampleUseCases":[{"title":"Clean partner pipeline before quarterly review","prompt":"I have 50 rows of partnership data with some null active_partners values — can you sort them by date and fill the missing ones using the mean so our quarterly report doesn't have gaps?"},{"title":"Impute missing qualified leads for sales team","prompt":"Our qualified_partners column has several nulls in our partner tracking sheet. Fill those missing values with zero, sort everything by date numerically, and give me the two cleaned reports."},{"title":"Prepare partner data for multi-group analysis","prompt":"I've got partnership pipeline records across two company groups with some missing active_partners entries. Sort the rows by date and fill the missing values using median imputation so I can compare the groups cleanly."}],"resultDescription":"Two analytical reports covering the supplied partnership pipeline rows: one with records sorted in numeric row order by date, and one with missing values for the specified field (qualified_partners or active_partners) filled using the chosen method (zero, mean, or median). Both reports are derived solely from the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns an error or truncated result","Missing required fields (row_id, date, company_group) causes row rejection","Invalid date format (non-YYYY-MM-DD) fails pattern validation","Values outside ±1,000,000,000,000 are rejected by schema","Specifying an unsupported fill method other than zero/mean/median returns a validation error","Empty rows array triggers a minItems violation"],"whenToPreferThis":"Choose this endpoint when you have tabular partnership pipeline data (up to 200 rows) with date-keyed records and need both chronological ordering and missing-value imputation for qualified_partners or active_partners fields in a single low-cost call. It is ideal for pre-analysis data cleaning workflows where you want deterministic, local computation without any external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:53:28.185Z","isFirstParty":false,"canonicalSlug":"partnership-pipeline-numeric-row-ordering-explicit-missing-value-fill-3d3fa9e8"}