{"uid":"cap_dFKGPp-kvFoiZyvei58gh","slug":"partnership-pipeline-string-normalisation-explicit-missing-value-fill-dc98d367","name":"Partnership Pipeline — String Normalisation + Explicit Missing-Value Fill","description":"Partnership pipeline — String normalisation + Explicit missing-value fill: String normalisation + 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-09-037?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_eGtJ_ZVglaDOpzvxfQ53a","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":"Normalises string fields and fills missing values (zero, mean, or median) for partnership pipeline records containing qualified_partners and active_partners metrics.","exampleAgentPrompt":"Can you clean up my partnership pipeline data — normalise the company_group strings and fill any missing qualified_partners values using the median method? I have about 50 rows across group-a and group-b from October 2026.","exampleUseCases":[{"title":"Imputing nulls before quarterly partner review","prompt":"I have 80 rows of partnership pipeline data for Q4 2026, but several active_partners values are missing. Can you fill those nulls using the mean and also normalise the company_group strings so everything is consistent?"},{"title":"Cleaning partner data for dashboard ingestion","prompt":"Before I load this into our dashboard, can you normalise the string fields and fill any missing qualified_partners entries with zero for all 120 rows across our partner groups?"},{"title":"Preparing partner metrics for cross-group comparison","prompt":"I need to compare qualified_partners across company groups but some rows have nulls — can you run string normalisation and median imputation on my 45 partnership pipeline records so the data is ready for analysis?"}],"resultDescription":"Returns two independent reports for the submitted rows: one covering string normalisation of fields like company_group and date, and one covering explicit missing-value fill (zero, mean, or median) for the specified numeric field (qualified_partners or active_partners). No external lookups or predictions are made — all processing uses local analytical engines on the supplied data only.","failureModes":["Batch exceeds 200 rows — request rejected","Missing required fields (row_id, date, company_group) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (±1 trillion) — schema rejection","Invalid method enum value (not zero/mean/median) — bad request","Invalid field enum value (not qualified_partners/active_partners) — bad request","Empty rows array — minimum items violation"],"whenToPreferThis":"Choose this endpoint when you have partnership pipeline records (with qualified_partners and active_partners columns) that need both string field normalisation and numeric missing-value imputation in a single lightweight call. It is ideal for pre-processing up to 200 rows before analysis, reporting, or CRM ingestion. It does not perform live lookups, predictions, or external data enrichment — use it purely for local data cleaning tasks on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:39.623Z","isFirstParty":false,"canonicalSlug":"partnership-pipeline-string-normalisation-explicit-missing-value-fill-dc98d367"}