{"uid":"cap_yit8oLcIfKRT30uHCEvo1","slug":"account-research-coverage-analyzer-record-quality-audit-string-c3ceb903","name":"Account Research Coverage Analyzer — Record Quality Audit, String Normalisation & Keyed Dataset Comparison","description":"Account research coverage — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison 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-08-207?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"target_accounts":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"researched_accounts":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","target_accounts":1,"researched_accounts":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","target_accounts":2,"researched_accounts":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","target_accounts":3,"researched_accounts":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","target_accounts":4,"researched_accounts":30}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","researched_accounts","target_accounts"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","target_accounts":3,"researched_accounts":17},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","target_accounts":4,"researched_accounts":33}],"maxItems":200,"minItems":0}}},"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_KHC9XEAsoVJQOxHaG9fUG","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 keyed dataset comparison) on up to 200 rows of account research coverage data containing researched_accounts and target_accounts fields.","exampleAgentPrompt":"Can you run the three-report account research coverage audit on these two datasets — rows and other — each with up to 50 records per company group, with fields row_id, company_group, date, researched_accounts, and target_accounts? I want the record quality audit, string normalisation, and keyed dataset comparison all in one shot.","exampleUseCases":[{"title":"Sales ops data quality check","prompt":"I have two CSVs of account research coverage data — one is our primary dataset and one is last month's — each with up to 150 rows containing row_id, company_group, date, researched_accounts, and target_accounts. Can you audit the record quality, normalise the company group strings, and compare them by key to find any discrepancies?"},{"title":"Pre-pipeline CRM data validation","prompt":"Before we push this batch of account research records into our CRM, can you run a quality audit and string normalisation pass on these 80 rows of researched_accounts and target_accounts data grouped by company_group? Also compare them against our baseline dataset to flag any mismatches."},{"title":"Account coverage parity report across groups","prompt":"We have two sets of account coverage records — group-a and group-b — each with about 60 rows dated through Q4 2026, with researched_accounts and target_accounts counts. Can you run all three reports: record quality audit, string normalisation, and keyed comparison, and tell me where the two datasets diverge?"}],"resultDescription":"Three independent analytical reports delivered together: (1) a record quality audit flagging nulls, out-of-range values, and structural issues; (2) a string normalisation report standardising company_group and other string fields; (3) a keyed dataset comparison report showing row-level differences between the two supplied datasets. No external lookups or predictions are made — all analysis is performed locally on the supplied data.","failureModes":["Exceeding 200 rows in either the rows or other array returns a validation error","Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) per row causes rejection","Dates not matching YYYY-MM-DD pattern fail schema validation","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array (minItems: 1 not met) returns an error","Malformed JSON body causes a 400-level error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of account research coverage data in a structured tabular format and need all three analytical passes — quality audit, string normalisation, and keyed comparison — bundled in a single low-cost call ($0.01 USDC). It is ideal for sales ops, RevOps, or data engineering teams that want a quick pre-processing validation step before loading account research data into a CRM or data warehouse. Prefer this over building custom scripts when you need a repeatable, schema-validated audit without any external API dependency or live data lookup.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:29.668Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-analyzer-record-quality-audit-string-c3ceb903"}