{"uid":"cap_215bWDuDVIGPhvNgRQ5gC","slug":"account-research-coverage-analyzer-record-quality-audit-string-3c1f608b","name":"Account Research Coverage Analyzer — Record Quality Audit, String Normalisation & Two-Measure Correlation","description":"Account research coverage — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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-08-204?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_qwj5fs1jIKVbKwUkUA8n9","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 offline analytical reports (record quality audit, string normalisation, and two-measure correlation) on supplied account research coverage data (researched_accounts vs target_accounts) for up to 200 rows.","exampleAgentPrompt":"Can you audit the data quality, normalise the company group strings, and run a correlation between researched_accounts and target_accounts for my coverage records? I have rows like: row-1, group-a, 2026-10-01, researched=10, target=1; row-2, group-b, 2026-10-02, researched=20, target=2.","exampleUseCases":[{"title":"Sales coverage data quality audit","prompt":"I have 150 rows of account research coverage data by company group and date — can you run a record quality audit and flag any bad or missing values in the researched_accounts and target_accounts fields?"},{"title":"Normalising messy company group labels","prompt":"Our account research dataset has inconsistent company group names across dates. Can you run the string normalisation report on these rows so we get clean, standardised group labels?"},{"title":"Correlation check between research and target accounts","prompt":"I want to know if the number of researched accounts is correlated with our target accounts count across these 80 rows grouped by company and date — can you run the two-measure correlation report for me?"}],"resultDescription":"Returns three independent analytical reports for the supplied rows: (1) a record quality audit highlighting missing values, out-of-range numbers, or malformed dates; (2) a string normalisation report cleaning and standardising the company_group field; and (3) a two-measure correlation report quantifying the statistical relationship between researched_accounts and target_accounts. All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows supplied — rejected with maxItems error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside ±1,000,000,000,000 range — rejected","Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) — schema error","All researched_accounts or target_accounts values are null — correlation report may be empty or undefined"],"whenToPreferThis":"Choose this endpoint when you need three bundled offline analytical reports — quality audit, string normalisation, and correlation — on account research coverage data (researched vs target accounts) for up to 200 rows, all in a single low-cost call. It is ideal when you already have the data locally and need no live enrichment, external lookups, or predictions — just structured analytical output on the supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:28.110Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-analyzer-record-quality-audit-string-3c1f608b"}