{"uid":"cap_xCryo428DHfTrX-dAXFW-","slug":"account-research-coverage-data-quality-suite-3dcd326d","name":"Account Research Coverage Data Quality Suite","description":"Account research coverage — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram for supplied account research coverage records (researched_accounts, target_accounts). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-08-202?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_FxCWGpzw8wyUZ2dnOltsB","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 three analytical reports — record quality audit, string normalisation, and equal-width histogram — on account research coverage data (researched_accounts, target_accounts) for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and a 10-bin histogram on my account research coverage data? I have rows for company groups like 'group-a' and 'group-b' with researched_accounts and target_accounts values — analyse the researched_accounts field.","exampleUseCases":[{"title":"Sales pipeline data quality audit","prompt":"I have 150 rows of account research coverage data with company groups, dates, and counts of researched vs target accounts — can you audit the record quality, normalise the company group strings, and show me a histogram of researched_accounts split into 8 bins?"},{"title":"Target accounts distribution check","prompt":"Run a histogram analysis on our target_accounts field across these account coverage records — use 5 bins — and flag any records with quality issues or inconsistent string formatting."},{"title":"Pre-reporting data validation","prompt":"Before I send this account research report to leadership, can you check the data quality, clean up any string inconsistencies in company_group, and generate a 10-bin equal-width histogram for the researched_accounts field across all 200 rows?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values; (2) a string normalisation report standardising company_group and other string fields; and (3) an equal-width histogram of the selected numeric field (researched_accounts or target_accounts) across the specified number of bins.","failureModes":["More than 200 rows submitted — request rejected","bins value outside 1–30 range — validation error","Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) in any row — schema error","Invalid date format (non YYYY-MM-DD) — pattern validation failure","Payment not provided or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need a bundled, cost-effective ($0.01 USDC for all three reports) offline data quality pass on up to 200 account research coverage records. It is ideal for pre-reporting validation, data hygiene checks, and understanding numeric distributions without requiring external lookups, live data enrichment, or prediction services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:04.841Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-data-quality-suite-455ab93c"}