{"uid":"cap_ot17RkPvdvJ2T2vvnYunV","slug":"partnership-pipeline-daily-sum-series-explicit-missing-value-fill-3443e1b3","name":"Partnership Pipeline — Daily Sum Series + Explicit Missing-Value Fill","description":"Partnership pipeline — Daily sum series + Explicit missing-value fill: Daily sum series + 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-09-145?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_rEpf3T5cXwnmBk7Oq64GL","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 daily sum time series and fills missing values (zero, mean, or median) for partnership pipeline metrics (qualified_partners, active_partners) across up to 200 supplied rows.","exampleAgentPrompt":"I have 150 rows of partnership pipeline data with dates, company groups, qualified_partners and active_partners counts — some values are null. Can you compute the daily sum series for qualified_partners and fill in any missing values using the median?","exampleUseCases":[{"title":"Daily partner count rollup","prompt":"Here are our Q4 partnership records across three company groups with some missing active_partners values — can you compute the daily sum for active_partners and use zero-fill for any missing entries?"},{"title":"Qualified partner trend with median imputation","prompt":"I've got 120 rows of pipeline data covering October and November, and qualified_partners has some nulls. Can you build a daily sum series for qualified_partners and fill the gaps using median imputation?"},{"title":"Multi-group pipeline gap analysis","prompt":"Can you take these 80 partnership rows — split across group-a and group-b — and produce a daily sum series for qualified_partners with mean-fill for any missing values so I can spot where the pipeline dropped off?"}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum time series aggregating the chosen metric by date across all company groups, and (2) the same dataset with explicit missing-value imputation applied using the selected method (zero, mean, or median). Results are computed locally without external lookups.","failureModes":["Row count exceeds 200 items — request rejected","Invalid date format (must match YYYY-MM-DD pattern) — validation error","Missing required fields (row_id, date, company_group) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejected","Empty rows array — minimum 1 item required","Invalid fill method or field enum value — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have pre-collected partnership pipeline records (qualified_partners, active_partners) and need to (1) aggregate them into a daily sum time series and (2) handle missing numeric values via a chosen imputation strategy — all within a single low-cost call. Ideal for offline batch analytics on up to 200 rows where no external data fetching, prediction, or professional assessment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:53.612Z","isFirstParty":false,"canonicalSlug":"partnership-pipeline-daily-sum-series-explicit-missing-value-fill-3443e1b3"}