{"uid":"cap_FE6sor6rZV_RPJGtylnkX","slug":"account-research-coverage-base-100-series-explicit-missing-value-fill-232ae260","name":"Account Research Coverage — Base-100 Series + Explicit Missing-Value Fill","description":"Account research coverage — Base-100 series + Explicit missing-value fill: Base-100 series + 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-08-169?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_kvHA6hbVitfA6K5nYQUdD","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":"Normalizes account research coverage time-series data to a base-100 index and fills missing values using zero, mean, or median strategies, producing two analytical reports from supplied data.","exampleAgentPrompt":"I have 4 rows of account research data for two groups — group-a and group-b — with dates from 2026-10-01 to 2026-10-04, researched_accounts values of 10, 20, 15, 30 and target_accounts of 1, 2, 3, 4. Can you normalize the researched_accounts field to a base-100 index starting at row 0, and fill any missing values using median?","exampleUseCases":[{"title":"Monthly coverage indexing across sales groups","prompt":"I have monthly account research data for three sales teams — alpha, beta, and gamma — from Jan to Jun 2026 with some null entries in the researched_accounts column. Can you index the researched_accounts to a base-100 series starting at row 0 and fill the missing values using median so I can compare team performance on a common scale?"},{"title":"Pipeline target account gap analysis","prompt":"I've got daily target_accounts figures for two company groups over Q3 2026, but several rows have missing values. Can you run a base-100 normalization on the target_accounts field starting from the first row, and impute the missing entries using mean fill, then give me both reports?"},{"title":"Quarterly research coverage audit with zero-fill","prompt":"Here's my quarterly account research coverage dataset — 50 rows across four business units with some gaps in researched_accounts. Please normalize it to a base-100 series anchored at row 0 and fill all missing values with zero so the reports are complete and consistent."}],"resultDescription":"Two independent analytical reports: (1) a base-100 indexed time series for the selected field (researched_accounts or target_accounts) anchored at the specified base row, and (2) an explicit missing-value fill report using the chosen strategy (zero, mean, or median). Both reports are computed locally from the supplied rows with no external data sources.","failureModes":["Fewer than 1 or more than 200 rows submitted — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","base_index value exceeds the number of submitted rows — index out of bounds error","All values in the selected field are null — mean/median fill may produce undefined results","Non-numeric values passed for researched_accounts or target_accounts — type validation failure"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of account research coverage data (researched_accounts and/or target_accounts) that need both base-100 normalization and missing-value imputation in a single call. It is ideal for sales ops or CRM analytics workflows where you want to compare time-series data across company groups on a common index without any live lookups or external enrichment. Prefer this over generic stats tools when you need both reports delivered together cheaply at $0.01 USDC per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:32.654Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-base-100-series-explicit-missing-value-fill-232ae260"}