{"uid":"cap_BEFs_4GIM63Jp1n3V6qNP","slug":"account-research-coverage-string-normalisation-numeric-distribution-4e4a0d48","name":"Account Research Coverage — String Normalisation + Numeric Distribution","description":"Account research coverage — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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-08-022?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_gTENGWRmdbMKhcSijq3Kj","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 (string normalisation and numeric distribution) on up to 200 rows of account research coverage data, covering researched_accounts and target_accounts fields.","exampleAgentPrompt":"Can you run string normalisation and numeric distribution reports on my account research coverage data — I have about 50 rows with company groups like 'group-a' and 'group-b', dates from 2026-10-01, and both researched_accounts and target_accounts counts — analyse the researched_accounts field?","exampleUseCases":[{"title":"Sales team coverage distribution audit","prompt":"I have 120 rows of account research coverage records with company groups, dates, and counts of researched and target accounts — can you run a numeric distribution and string normalisation report on the researched_accounts field so I can see how the coverage is spread?"},{"title":"Target account count analysis by group","prompt":"Run string normalisation and numeric distribution on these 80 rows of account coverage data — company_group, date, target_accounts, researched_accounts all filled in — and focus on the target_accounts field so I can see the statistical spread."},{"title":"Data quality check on coverage records","prompt":"I want to check the quality and distribution of my account research coverage dataset — about 30 rows covering groups like 'enterprise' and 'smb' — can you normalise the strings and show me the numeric distribution for researched_accounts?"}],"resultDescription":"Two analytical reports per call: (1) a string normalisation report for the company_group field across supplied rows, and (2) a numeric distribution report for the selected field (researched_accounts or target_accounts), covering up to 200 rows. Results are derived entirely from the supplied data using local analytical engines — no external data is fetched.","failureModes":["Fewer than 1 row supplied — minItems validation error","More than 200 rows supplied — maxItems validation error","Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) — schema validation error","Invalid date format (not YYYY-MM-DD) — pattern validation error","Numeric values outside allowed range (±1 trillion) — validation error","Invalid field enum value — must be 'researched_accounts' or 'target_accounts'"],"whenToPreferThis":"Choose this endpoint when you need quick, offline statistical analysis (string normalisation + numeric distribution) of account research coverage records without any live data lookup, prediction, or external action. It is ideal for batch-validating and summarising up to 200 rows of CRM or sales coverage data cheaply ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:44:57.461Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-string-normalisation-numeric-distribution-4e4a0d48"}