{"uid":"cap_8ZJSQfi2YxUhw1JC7Y3ZZ","slug":"account-research-coverage-numeric-distribution-missing-value-fill-fd95cc65","name":"Account Research Coverage: Numeric Distribution + Missing-Value Fill","description":"Account research coverage — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill for supplied account research coverage records (researched_accounts, target_accounts). 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-08-085?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","researched_accounts","target_accounts"],"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},"target_accounts":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"researched_accounts":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","target_accounts":1,"researched_accounts":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","target_accounts":2,"researched_accounts":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","target_accounts":3,"researched_accounts":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","target_accounts":4,"researched_accounts":30}],"maxItems":200,"minItems":1},"field":{"enum":["researched_accounts","target_accounts"],"type":"string","default":"researched_accounts"},"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_0RNKQtDa_ETx2t8-I6XCe","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 numeric distribution report and fills missing values for account research coverage data (researched_accounts, target_accounts) across up to 200 supplied rows.","exampleAgentPrompt":"I have 4 rows of account research coverage data with company groups and dates — can you analyze the numeric distribution of researched_accounts and fill any missing values using median imputation?","exampleUseCases":[{"title":"Sales coverage gap analysis by group","prompt":"I have account research records for group-a and group-b across October 2026 — can you run a numeric distribution report on researched_accounts and fill any nulls using the median, so I can see how evenly coverage is spread across groups?"},{"title":"Zero-fill missing target account counts","prompt":"My dataset has some missing target_accounts values mixed in with valid numbers across 50 rows — please analyze the distribution of target_accounts and fill every missing value with zero so my downstream pipeline doesn't break."},{"title":"Mean imputation for monthly coverage review","prompt":"For our monthly review I need to clean up this account research table of about 120 rows — run a distribution report on researched_accounts and use mean imputation to fill in any gaps before I hand it off to the team."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report showing statistical spread (e.g. min, max, mean, median, percentiles) for the selected field across the supplied rows, and (2) an explicit missing-value fill report where null/missing values in the selected field have been replaced using the chosen method (zero, mean, or median). No external data is fetched; all computation is performed on the supplied rows only.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows submitted — exceeds row limit","Invalid date format (not YYYY-MM-DD) — validation error","Missing required fields (row_id, company_group, date) — schema validation failure","All values are null — mean/median imputation may be undefined","Numeric values outside ±1 trillion range — rejected by schema"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of account research coverage data (researched_accounts and/or target_accounts) and need both a numeric distribution summary and explicit missing-value imputation in a single $0.01 call. It is ideal for lightweight, offline data cleaning and statistical summarization without requiring a full analytics platform. Prefer it over general-purpose analytics tools when you want a low-cost, deterministic, self-contained computation on supplied data with no external lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:47.292Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-numeric-distribution-missing-value-fill-fd95cc65"}