{"uid":"cap_ztPkEE-TW_-Ah1akYHqEz","slug":"account-research-coverage-numeric-distribution-daily-sum-series-9d1fb9b5","name":"Account Research Coverage: Numeric Distribution + Daily Sum Series","description":"Account research coverage — Numeric distribution + Daily sum series: Numeric distribution + Daily sum series 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-08-075?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_Bn9IEQuzDiPZkXt_r3ycI","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":"Generates a numeric distribution report and a daily sum time series for account research coverage metrics (researched_accounts, target_accounts) from up to 200 supplied rows.","exampleAgentPrompt":"Can you run the numeric distribution and daily sum series reports on my account research coverage data? I have 4 rows with company groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want to analyze the researched_accounts field.","exampleUseCases":[{"title":"Sales team account coverage analysis","prompt":"I have a week's worth of account research records for two company groups — can you compute the numeric distribution and daily sum series for our researched_accounts field? I'll give you 10 rows with row IDs, dates, company groups, and both researched and target account counts."},{"title":"Target account pipeline trend report","prompt":"Run a distribution and daily sum time series on this batch of 50 account research rows for me — I want to understand how our target_accounts numbers are spread and how they trend day by day across our groups."},{"title":"Multi-group coverage comparison","prompt":"I've got 200 rows of account research data split across five company groups from the past quarter. Can you generate the numeric distribution and daily sum series so I can compare coverage patterns between groups using the researched_accounts field?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution of the selected field (researched_accounts or target_accounts) showing how values are spread across the supplied rows, and (2) a daily sum time series aggregating the selected field by date. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) on any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejected","Invalid field enum value (not 'researched_accounts' or 'target_accounts') — error","Payment of 0.01 USDC not completed — 402 response"],"whenToPreferThis":"Choose this endpoint when you have raw account research coverage records (up to 200 rows) and need both a statistical distribution and a daily aggregated time series in a single low-cost call. It is ideal for sales ops or RevOps teams doing offline batch analysis of researched vs target account data without needing live lookups, external enrichment, or predictive modeling.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:34.834Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-numeric-distribution-daily-sum-series-9d1fb9b5"}