{"uid":"cap_8ynG16N5LcGTFZdSSN4F5","slug":"account-research-coverage-category-frequencies-date-by-category-pivot-bf25003a","name":"Account Research Coverage — Category Frequencies + Date by Category Pivot","description":"Account research coverage — Category frequencies + Date by category pivot: Category frequencies + 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-08-110?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_mWLXVYKz1HCx-hgq_l2hI","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 account research coverage data: category frequency counts and a date-by-category pivot table for researched_accounts or target_accounts.","exampleAgentPrompt":"I have up to 200 rows of account research coverage data with company_group, date, researched_accounts, and target_accounts — can you run both the category frequency breakdown and the date-by-category pivot on the researched_accounts field for me?","exampleUseCases":[{"title":"Sales team coverage frequency audit","prompt":"I have our Q4 account research records broken down by company group and date — can you give me a category frequency report and a date-by-category pivot on the researched_accounts field so I can see which groups we covered most?"},{"title":"Target account distribution by date","prompt":"Here are our target account records across several company groups and dates. Can you run category frequencies and a date-pivot on the target_accounts field so I can see how our targeting was distributed over time?"},{"title":"Research coverage gap analysis across groups","prompt":"I've got 150 rows of account research data with dates and company groups. Run the category frequency and date-by-category pivot reports on researched_accounts so I can spot which groups and time periods have coverage gaps."}],"resultDescription":"Returns two analytical reports: (1) category frequency counts showing how often each company_group appears in the dataset for the selected metric, and (2) a date-by-category pivot table cross-tabulating dates against company groups for the chosen field (researched_accounts or target_accounts). Both reports are computed locally on the supplied rows with no external data lookups.","failureModes":["Rows array empty or missing — returns validation error","More than 200 rows submitted — exceeds max row limit","Invalid date format (not YYYY-MM-DD) — schema validation failure","Invalid field value (not researched_accounts or target_accounts) — enum validation error","Null values in required fields like row_id — schema rejection","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of account research coverage records and need both a category frequency breakdown and a date-by-category pivot in a single $0.01 call. It is ideal for quick offline analytical summaries without requiring an external BI tool, database, or live data connection. Prefer this over generic analytics APIs when your data is already structured with company_group, date, researched_accounts, and target_accounts fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:29.667Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-category-frequencies-date-by-category-pivot-bf25003a"}