{"uid":"cap_zLudUhg1t2BtkHjFV7vXR","slug":"account-research-coverage-iqr-outlier-flags-secondary-measure-63dc1a68","name":"Account Research Coverage — IQR Outlier Flags + Secondary-Measure Weighted Mean","description":"Account research coverage — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean 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-08-177?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"}}},"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_trCUrMJR4vJ5MnWideXEJ","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":"Runs two local statistical reports on account research coverage data: IQR-based outlier detection and a weighted mean calculation for up to 200 rows.","exampleAgentPrompt":"Can you run IQR outlier detection and a weighted mean on my account research coverage data? I have rows for groups A and B across dates in October 2026 with researched_accounts and target_accounts values — flag any outliers and give me the weighted mean for researched_accounts.","exampleUseCases":[{"title":"Sales team coverage anomaly detection","prompt":"I have monthly account research coverage records for four company groups from Q3. Can you flag any rows where researched_accounts looks like an IQR outlier and also give me the weighted mean across all rows for researched_accounts?"},{"title":"Target accounts audit across business units","prompt":"Here are 150 rows of target_accounts data grouped by business unit and date — can you run the IQR outlier flags and weighted mean reports on target_accounts to see which groups have unusual figures?"},{"title":"Research pipeline data quality check","prompt":"We just exported our researched_accounts coverage table with row IDs, dates, and company groups. Can you run both the outlier detection and the weighted mean analysis on it so I can spot any bad data before we use it in our pipeline?"}],"resultDescription":"Returns two independent statistical reports: (1) IQR outlier flags identifying which rows have values outside the interquartile range for the selected field, and (2) a secondary-measure weighted mean computed across the supplied rows — all derived locally from the provided data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows submitted — exceeds limit","Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) — validation error","Invalid date format (not YYYY-MM-DD) — schema error","Null values in numeric fields may affect outlier and mean calculations","Invalid field enum value — only 'researched_accounts' or 'target_accounts' accepted"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of account research coverage records and need two fast, local statistical analyses — IQR outlier flagging and a weighted mean — without requiring external data lookups, live predictions, or professional assessment. It is ideal for quick data quality checks or pre-pipeline audits on B2B sales coverage datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:42:47.903Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-iqr-outlier-flags-secondary-measure-63dc1a68"}