{"uid":"cap_LtqRz0ISDjHPQlwwwOu9g","slug":"account-research-coverage-numeric-distribution-date-by-category-pivot-b52b781f","name":"Account Research Coverage — Numeric Distribution + Date by Category Pivot","description":"Account research coverage — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot 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-08-083?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_Byain2bZNtS1v79rPjfT6","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 analytical reports on supplied account research coverage data: a numeric distribution analysis and a date-by-category pivot, grouped by company category.","exampleAgentPrompt":"Can you run a numeric distribution analysis and a date-by-category pivot on my account research coverage data? I have records for two groups — group-a and group-b — with researched_accounts values across several dates in October 2026, and I want both reports for the researched_accounts field.","exampleUseCases":[{"title":"Sales team coverage gap analysis","prompt":"I have account research records for our sales regions across Q4 — each row has a company_group, a date, and counts of researched_accounts and target_accounts. Can you run a numeric distribution plus a date-by-category pivot on these so I can see where coverage is thin? Use researched_accounts as the analysis field."},{"title":"Weekly pipeline research review","prompt":"Every Monday I want to review how many accounts each team researched last week. I've got the data as rows with row_id, company_group, date, researched_accounts, and target_accounts. Can you give me a numeric distribution and a date-by-category breakdown pivoting on target_accounts?"},{"title":"Multi-group account targeting audit","prompt":"We have about 150 rows of account research data across five company groups for the past month. Can you produce a numeric distribution report and a date-by-category pivot for the researched_accounts field so I can audit whether each group is hitting their research targets?"}],"resultDescription":"Returns two analytical reports derived entirely from the supplied data: (1) a numeric distribution of the selected field (e.g. researched_accounts or target_accounts) showing spread, frequency, and statistical shape; and (2) a date-by-category pivot breaking down values by company_group across dates. No external data sources are used; all computation is local to the supplied rows (up to 200).","failureModes":["Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) causes validation error","More than 200 rows submitted exceeds the maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Null values in both numeric fields may reduce statistical report quality","Invalid field enum value (not 'researched_accounts' or 'target_accounts') causes rejection","Empty rows array (minItems: 1 violation) will fail input validation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of account research coverage records (with company_group, date, researched_accounts, target_accounts) and need both a numeric distribution and a date-by-category pivot in a single low-cost call. It is ideal for self-contained, offline analysis of supplied data with no need for live lookups or external enrichment. Prefer alternatives if you need forecasting, live CRM integration, more than 200 rows, or a single report type only.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:00.568Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-numeric-distribution-date-by-category-pivot-b52b781f"}