{"uid":"cap_NH84HwX48o6JT9wU4czOa","slug":"business-directory-coverage-record-quality-audit-string-normalisation-5089be63","name":"Business Directory Coverage — Record Quality Audit + String Normalisation + Numeric Distribution","description":"Business directory coverage — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution for supplied business directory coverage records (listed_entities, verified_entities). 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-14-193?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","listed_entities","verified_entities"],"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},"listed_entities":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"verified_entities":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","listed_entities":10,"verified_entities":1},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","listed_entities":20,"verified_entities":2},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","listed_entities":15,"verified_entities":3},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","listed_entities":30,"verified_entities":4}],"maxItems":200,"minItems":1},"field":{"enum":["listed_entities","verified_entities"],"type":"string","default":"listed_entities"}}},"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_bbEJtokePuL5wFftzO7zJ","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 local analytical reports (record quality audit, string normalisation, and numeric distribution) on up to 200 rows of business directory coverage data containing listed_entities and verified_entities fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric distribution analysis on my business directory coverage data? I have rows with company_group, date, listed_entities, and verified_entities — up to 200 rows — and I want to profile the listed_entities field.","exampleUseCases":[{"title":"Data quality check before pipeline ingestion","prompt":"Before I load this batch of business directory records into our pipeline, can you audit them for quality issues, normalise the company_group strings, and show me the numeric distribution of listed_entities? I have about 150 rows with date, row_id, company_group, listed_entities, and verified_entities."},{"title":"Comparing entity verification rates across groups","prompt":"I want to understand how verified_entities is distributed across my different company groups — can you run a numeric distribution report on the verified_entities field and also flag any record quality issues in my 80-row business directory dataset?"},{"title":"Cleaning up inconsistent directory company names","prompt":"My business directory export has inconsistently formatted company_group names — can you run the string normalisation report on my coverage records and also give me a quality audit so I can see which rows have nulls or anomalies in listed_entities and verified_entities?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit identifying missing values, nulls, or structural issues; (2) a string normalisation report for company_group and other string fields; and (3) a numeric distribution summary (e.g. min, max, mean, percentiles, outliers) for the selected numeric field (listed_entities or verified_entities). All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Empty rows array or fewer than 1 row returns a validation error","More than 200 rows submitted exceeds the limit and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Missing required fields (row_id, company_group, date, listed_entities, verified_entities) causes row rejection","Non-numeric values in listed_entities or verified_entities fields cause parsing errors","Invalid field enum value (not 'listed_entities' or 'verified_entities') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of business directory coverage data and need three bundled analytical reports — quality audit, string normalisation, and numeric distribution — in a single low-cost call ($0.01 USDC). It is best suited for offline/batch data profiling tasks with no need for live lookups, external enrichment, or predictive modelling. Prefer this over separate analytics tools when you want a quick, cheap multi-report pass on directory data before ingestion or analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:17.264Z","isFirstParty":false,"canonicalSlug":"business-directory-coverage-record-quality-audit-string-normalisation-5089be63"}