{"uid":"cap_NCDqzkReGnjlb07RZzdpV","slug":"account-research-coverage-daily-sum-series-with-iqr-outlier-flags-4d26ff72","name":"Account Research Coverage Daily Sum Series with IQR Outlier Flags","description":"Account research coverage — Daily sum series + IQR outlier flags: Daily sum series + 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-08-140?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_xxHJerN8hG2YtYFi7_uAn","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 daily sum time series and IQR-based outlier flags for account research coverage metrics (researched_accounts and target_accounts) from supplied row data.","exampleAgentPrompt":"Can you run a daily sum series and IQR outlier analysis on my account research coverage data for these rows — I have researched_accounts and target_accounts by company group and date, up to 200 rows, and I want both reports in one call?","exampleUseCases":[{"title":"Sales team research activity audit","prompt":"I have 150 rows of daily account research logs with company_group, date, researched_accounts, and target_accounts — can you compute the daily totals and flag any days where researched_accounts looks like a statistical outlier using IQR?"},{"title":"Spotting data entry errors in coverage records","prompt":"We've been logging target_accounts daily across two company groups for the past quarter and I suspect some dates have bad entries — can you run the daily sum series and IQR outlier flags on this dataset to surface any suspicious values?"},{"title":"Comparing research intensity across groups over time","prompt":"I want to understand how our researched_accounts volume trends day by day across group-a and group-b — please aggregate the daily sums and highlight any outlier days so I know where to investigate further."}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum time series showing aggregated values of the selected metric (researched_accounts or target_accounts) grouped by date, and (2) IQR-based outlier flags identifying which dates have statistically anomalous values. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, date, company_group) returns a validation error","Date strings not matching YYYY-MM-DD pattern are rejected","Exceeding 200 rows causes the request to fail with a row limit error","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array returns an error","Invalid field enum value (not researched_accounts or target_accounts) causes failure"],"whenToPreferThis":"Choose this endpoint when you need both a daily time series aggregation and IQR-based outlier detection for account research coverage data in a single low-cost call. It is ideal when you have up to 200 rows of pre-collected data with researched_accounts or target_accounts metrics grouped by company and date, and you want purely local statistical analysis without any external data enrichment, prediction, or live lookup.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:18.589Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-daily-sum-series-with-iqr-outlier-flags-4d26ff72"}