{"uid":"cap_uhIOewLS2ImUJ6EP1FKoQ","slug":"account-research-coverage-exact-row-deduplication-category-frequencies-aeef161a","name":"Account Research Coverage: Exact Row Deduplication + Category Frequencies","description":"Account research coverage — Exact row deduplication + Category frequencies: Exact row deduplication + Category frequencies 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-08-041?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}}},"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_HMx2wk6bH45jMzU95EQkE","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":"Deduplicates rows and computes category frequencies for account research coverage data (researched_accounts, target_accounts) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you deduplicate my account research coverage records and give me a frequency breakdown by company group? I have rows with fields like row_id, date, company_group, researched_accounts, and target_accounts — here's my data for groups A and B over the past week.","exampleUseCases":[{"title":"Sales team coverage audit","prompt":"I need to clean up our account research coverage log — can you find any exact duplicate rows and tell me how many times each company group appears? I have about 50 rows with columns: row_id, date, company_group, researched_accounts, and target_accounts."},{"title":"Weekly research pipeline review","prompt":"Can you analyze this week's account research data for me? I want to know which company groups appear most frequently and whether any rows are duplicated. The dataset has row_id, date, company_group, target_accounts, and researched_accounts fields, around 120 rows."},{"title":"Multi-group coverage frequency report","prompt":"We track research coverage across several company groups and I want a frequency report showing how often each group shows up, plus a list of any exact duplicate records. I'll send you up to 200 rows with row_id, date, company_group, researched_accounts, and target_accounts."}],"resultDescription":"Two independent analytical reports: (1) an exact row deduplication report identifying which rows are duplicates across all fields, and (2) a category frequency report showing how often each company_group value appears in the supplied data. Both reports are derived entirely from the submitted rows with no external lookups.","failureModes":["Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) cause validation errors","Submitting more than 200 rows exceeds the maxItems limit and will be rejected","Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation","Empty rows array (minItems: 1 not met) returns an error","Numeric values for researched_accounts or target_accounts outside the allowed range cause rejection"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local analytical computation — specifically exact duplicate detection and category frequency counts — on account research coverage data without requiring any external data enrichment, live lookups, or ML predictions. It is ideal for data hygiene checks on CRM exports or sales pipeline spreadsheets with up to 200 rows, at minimal cost ($0.01 USDC for both reports simultaneously).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:17.049Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-exact-row-deduplication-category-frequencies-aeef161a"}