{"uid":"cap_ZEHj2K0o_orI63hjsVwKT","slug":"account-research-coverage-numeric-distribution-two-measure-correlation-516456f7","name":"Account Research Coverage — Numeric Distribution & Two-Measure Correlation","description":"Account research coverage — Numeric distribution + Two-measure correlation: Numeric distribution + Two-measure correlation 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-08-081?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_FmH1cf7CRj_g1E7V3Gz3R","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":"Computes a numeric distribution report and a two-measure correlation report for supplied account research coverage data (researched_accounts vs. target_accounts) across up to 200 rows.","exampleAgentPrompt":"I have 4 rows of account research coverage data — for group-a and group-b from Oct 1–4 2026 — with researched_accounts and target_accounts values; can you run a numeric distribution and a two-measure correlation report on those records, analyzing the researched_accounts field?","exampleUseCases":[{"title":"Sales coverage gap analysis","prompt":"Here are 50 records of our account research coverage by company group and date, with researched_accounts and target_accounts counts — can you run a numeric distribution on researched_accounts and also show me the correlation between researched_accounts and target_accounts?"},{"title":"Weekly team performance stats","prompt":"I've got weekly data for 3 company groups over the past quarter — each row has a date, group name, number of researched accounts, and target accounts. Run a distribution and correlation report on the target_accounts field so I can see how spread out our targets are and how they relate to researched counts."},{"title":"Quarterly coverage benchmarking","prompt":"Can you analyze these 120 rows of account research records — each has a company_group, date, researched_accounts, and target_accounts — and give me a numeric distribution plus a correlation between researched_accounts and target_accounts for our Q3 benchmarking review?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution report showing statistical spread (e.g. min, max, mean, percentiles) for the selected field across up to 200 rows, and (2) a two-measure correlation report showing the relationship between researched_accounts and target_accounts in the supplied dataset. No external data is fetched; all analysis is performed on the provided rows.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Missing required fields (row_id, company_group, date, researched_accounts, or target_accounts) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Null values in both numeric fields across all rows — correlation cannot be computed","Invalid field enum value (not 'researched_accounts' or 'target_accounts') — schema rejection"],"whenToPreferThis":"Choose this endpoint when you already have account research coverage data in hand (researched_accounts and target_accounts per company group and date) and need two quick statistical reports — a numeric distribution and a cross-measure correlation — without any external lookups, predictions, or live data. Ideal for sales ops or RevOps teams doing offline batch analysis on up to 200 records at $0.01 per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:00.566Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-numeric-distribution-two-measure-correlation-516456f7"}