{"uid":"cap_eVcveuNEZemt1NOxYXWk4","slug":"account-research-coverage-frequency-iqr-outlier-analysis-30748a11","name":"Account Research Coverage Frequency & IQR Outlier Analysis","description":"Account research coverage — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags 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-08-107?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_KnCgQOZ_OEt7vEpLUJ5j3","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 category frequencies and IQR-based outlier flags for account research coverage metrics (researched_accounts, target_accounts) across up to 200 supplied rows, producing two independent analytical reports.","exampleAgentPrompt":"Can you analyze this account research coverage data for me — flag any IQR outliers and show category frequencies for researched_accounts? I have rows for group-a and group-b across October 2026, each with a row_id, date, company_group, researched_accounts, and target_accounts values.","exampleUseCases":[{"title":"Outlier detection in sales pipeline coverage","prompt":"I have 80 rows of account research data across several company groups with dates and researched_accounts counts — can you flag which rows are IQR outliers and give me the frequency breakdown by group?"},{"title":"Target account distribution audit","prompt":"Run a frequency and IQR outlier analysis on my target_accounts data — I've got records by date, row ID, and company group for about 150 accounts and want to know which groups or dates look anomalous."},{"title":"Comparing research activity across business units","prompt":"Can you analyze researched_accounts coverage across my business units? I'll supply up to 200 rows with company_group, date, and account counts — I want the category frequencies and any rows flagged as outliers by IQR."}],"resultDescription":"Two independent analytical reports per call: (1) category frequency counts for the chosen field (researched_accounts or target_accounts) broken down by company_group, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range. No live data lookups, predictions, or external actions are performed — all computation runs on the supplied rows only.","failureModes":["Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) cause validation errors","Rows exceeding 200 items are rejected (maxItems constraint)","Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure","Numeric values outside allowed range (±1,000,000,000,000) are rejected","Empty rows array returns an error (minItems: 1)","Invalid field enum value (anything other than researched_accounts or target_accounts) causes rejection"],"whenToPreferThis":"Choose this endpoint when you have tabular account research coverage records and need fast, local statistical analysis (frequency distributions and IQR outlier detection) without sending data to an external lookup or prediction service. Ideal for sales ops and RevOps teams auditing CRM pipeline data, ABM teams checking research coverage across company groups, or analysts who need a quick anomaly flag on up to 200 rows at very low cost ($0.01 per call for two reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:36.468Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-frequency-iqr-outlier-analysis-30748a11"}