{"uid":"cap_TK6ot8hwHHDrWHXSANkWv","slug":"account-research-coverage-iqr-outlier-flags-explicit-missing-value-fill-801d5859","name":"Account Research Coverage — IQR Outlier Flags + Explicit Missing-Value Fill","description":"Account research coverage — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + 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-08-180?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_jL5JUsWIyP0RAFue99m4_","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":"Analyzes account research coverage records (researched_accounts, target_accounts) by flagging IQR-based outliers and filling missing values using zero, mean, or median imputation, producing two independent analytical reports.","exampleAgentPrompt":"Can you run IQR outlier detection and median missing-value fill on this account research coverage data — I have rows with company_group, date, researched_accounts, and target_accounts fields, and I need both reports back for up to 50 rows?","exampleUseCases":[{"title":"Sales team coverage data cleanup","prompt":"I have a spreadsheet of weekly account research coverage records with researched_accounts and target_accounts for different company groups, some values are missing or suspiciously high — can you flag the IQR outliers and fill missing values using median imputation so I get two clean reports back?"},{"title":"Anomaly detection in target account tracking","prompt":"Our CRM export has 120 rows of target_accounts data by company group and date, and I want to know which rows are statistical outliers based on IQR — can you run the outlier flagging report on the target_accounts field?"},{"title":"Missing value imputation for research metrics","prompt":"I've got account research coverage records going back 6 months with some null values in researched_accounts — can you fill those in using mean imputation and flag any IQR outliers in the same run, covering all 80 rows?"}],"resultDescription":"Two independent analytical reports: (1) an IQR outlier flagging report identifying which rows in the researched_accounts and target_accounts fields fall outside the interquartile range, and (2) a missing-value fill report with nulls replaced using the chosen method (zero, mean, or median). Both reports are derived entirely from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, company_group, date) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Numeric values outside allowed range (-1T to 1T) are rejected","All values missing in a column makes mean/median imputation undefined","Submitting zero rows returns an error due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of account research coverage records and need both IQR-based outlier detection and missing-value imputation in a single call at low cost. It is ideal for lightweight, offline data-quality passes on CRM or sales ops exports where no live data lookup or predictive modeling is needed. Prefer it over general-purpose analytics tools when you want a fixed-price, self-contained statistical audit of researched_accounts and target_accounts fields specifically.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:08.644Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-iqr-outlier-flags-explicit-missing-value-fill-801d5859"}