{"uid":"cap_4pe44Bv1cYPBAZe3rR6b9","slug":"account-research-coverage-iqr-outlier-flags-two-measure-correlation-8194b758","name":"Account Research Coverage — IQR Outlier Flags + Two-Measure Correlation","description":"Account research coverage — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation 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-08-176?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_IwHkXl-cN1Yqx7Twm1ppH","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 IQR-based outlier detection and two-measure correlation analysis on supplied account research coverage data (researched_accounts vs target_accounts) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run IQR outlier detection and a two-measure correlation between researched_accounts and target_accounts on my coverage dataset? I have up to 50 rows with fields: row_id, company_group, date, researched_accounts, and target_accounts — flag any outliers and tell me how the two measures correlate.","exampleUseCases":[{"title":"Sales pipeline coverage anomaly detection","prompt":"I've got monthly account research coverage data for 4 company groups over the past quarter — can you flag any rows where researched_accounts looks like an IQR outlier, and also show me how researched_accounts correlates with target_accounts across all rows?"},{"title":"B2B research effort audit by group","prompt":"Our ops team wants to audit account research coverage across our business units. I have 120 rows of daily records with company_group, researched_accounts, and target_accounts — please run outlier flags and a two-measure correlation report so we can spot which groups are over- or under-researching."},{"title":"CRM data quality check for research metrics","prompt":"Before we import this account research data into our CRM, can you check whether any of the researched_accounts or target_accounts values are IQR outliers, and give me the correlation between the two measures across our 80 records?"}],"resultDescription":"Returns two independent reports: (1) IQR outlier flags identifying which rows have statistically anomalous values for the selected measure, and (2) a two-measure correlation report quantifying the relationship between researched_accounts and target_accounts across the supplied rows. No external lookups or predictions are made — all analysis uses locally supplied data only.","failureModes":["Fewer than 1 row supplied — minimum row count not met","More than 200 rows supplied — exceeds maximum batch size","Missing required fields (row_id, company_group, date, researched_accounts, or target_accounts) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Null values in both measure columns reduce effective sample size for correlation","Insufficient variance in data may yield trivial or undefined correlation","Payment not completed — x402 micropayment of 0.01 USDC required per call"],"whenToPreferThis":"Choose this endpoint when you have tabular account research coverage records and need both IQR-based outlier detection and a two-measure correlation in a single low-cost call. It is ideal for pre-import data quality checks, CRM audits, or sales ops reviews where you want statistically grounded flags without setting up a full analytics stack. Prefer this over general-purpose analytics tools when your data fits the specific researched_accounts/target_accounts schema and you want both reports for a fixed 0.01 USDC fee.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:28.846Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-iqr-outlier-flags-two-measure-correlation-8194b758"}